Bin Zhang

Molecular Biology · Nature Medicine · 2008–2020

A researcher in the Science corpus: 7 papers; trusts 18 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 128 citations into it; #9,309 of 17,773 by trust here, #5,405 by citations
• Artificial Intelligence — 13 citations into it
• Statistical and Nonlinear Physics — 13 citations into it
• Experimental and Cognitive Psychology — 5 citations into it

Whom Bin Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ulrike von Luxburg
2. Bin Zhang
3. Mark Newman
4. Réka Albert
5. Linyuan Lu
6. Martin Rosvall
7. Gábor Csárdi
8. Albert-László Barabási
9. Santo Fortunato
10. Steve Horvath

Who trusts Bin Zhang overall

1. P. Phillips
2. Mete Civelek
3. Won-min Song
4. Seyoung Kim
5. Oliver Stegle
6. Neelroop Parikshak
7. Minghui Wang
8. Eric P. Xing
9. Barbara Rakitsch
10. Zhi-Jie Cao

Papers from Bin Zhang's perspective

Ordered by how strongly the researchers Bin Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Statistical mechanics of complex networks
2. The large-scale organization of metabolic networks (Nature)
3. Community detection in graphs
4. Functional discovery via a compendium of expression profiles. (Cell)
5. Uncovering the overlapping community structure of complex networks in nature and society (Nature)
6. A General Framework for Weighted Gene Co-Expression Network Analysis (Statistical Applications in Genetics and Molecular Biology)
7. Molecular networks as sensors and drivers of common human diseases (Nature)
8. The Sequence Alignment/Map format and SAMtools (Bioinform.)
9. Neuropathological stageing of Alzheimer-related changes
10. A tutorial on spectral clustering

Their papers

• Integrating large-scale functional genomic data to dissect the complexity of yeast regulatory networks (2008) — 590 citations
• Integrated systems approach identifies genetic nodes and networks in late-onset Alzheimer's disease (2013) — 1,668 citations
• Gene Expression Elucidates Functional Impact of Polygenic Risk for Schizophrenia (2016) — 1,080 citations
• Efficient Test and Visualization of Multi-Set Intersections (2015) — 372 citations
• Large-scale proteomic analysis of Alzheimer’s disease brain and cerebrospinal fluid reveals early changes in energy metabolism associated with microglia and astrocyte activation (2020) — 868 citations
• Sex-Specific Transcriptional Signatures in Human Depression (2017) — 678 citations
• Multiscale Embedded Gene Co-expression Network Analysis (2015) — 307 citations