Jing Yan
Molecular Biology · with Wang · 2014–2020
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 88 citations into it; #8,284 of 17,773 by trust here, #9,136 by citations
- Materials Chemistry — 36 citations into it; #8,997 of 11,513 by trust here, #10,400 by citations
Whom Jing Yan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir N Uversky
- Peter Tompa
- Zsuzsanna Dosztányi
- A. Keith Dunker
- Christopher J. Oldfield
- Ian Walsh
- Peter E. Wright
- H. J. Dyson
- Jonathan J. Ward
- Bohdan Monastyrskyy
Who trusts Jing Yan overall
- Fanchi Meng
- Vladimir N Uversky
- Bálint Mészáros
- Nawar Malhis
- Jack Hanson
- Lukasz Kurgan
- Zsuzsanna Dosztányi
- Gábor Erdös
- Kuldip K. Paliwal
- Matthew Jacobson
Papers from Jing Yan's perspective
Ordered by how strongly the researchers Jing Yan trusts endorse each paper. Same corpus, a different order for every researcher.
- Intrinsically unstructured proteins: re-assessing the protein structure-function paradigm.
- Intrinsically disordered protein.
- Intrinsically Disordered Proteins in Cellular Signaling and Regulation
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- The pairwise energy content estimated from amino acid composition discriminates between folded and intrinsically unstructured proteins.
- Evaluation of disorder predictions in CASP9
- DisProt: the Database of Disordered Proteins (Nucleic Acids Res.)
- A large-scale evaluation of computational protein function prediction
- Structure and Function of Intrinsically Disordered Proteins
- Evolutionary Rate in the Protein Interaction Network
Their papers
- Molecular recognition features (MoRFs) in three domains of life. (2016) — 147 citations
- Exceptionally abundant exceptions: comprehensive characterization of intrinsic disorder in all domains of life (2014) — 345 citations
- Critical assessment of protein intrinsic disorder prediction (2020) — 286 citations