The top 100 papers
By Richard Van Noorden, B. Maher, Regina L. Nuzzo. Nature, 2014
497 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/26e910702dbe64d0ba7c1e36b2c7c85e2fbd02cf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Nikolaos Ignatiadis
- Wolfgang Huber
- Xing‐Xing Shen
- Berend Smit
- Mika V. Mäntylä
- Xiaofan Zhou
- Daniel Graziotin
- Joost VandeVondele
Citations in the corpus
- Covariate powered cross‐weighted multiple testing (2017, background): “ t and rejects all hypotheses with P it. This approach has been highly influential in the natural sciences (Benjamini, 2010), and the paper is among the 100 most cited scientific papers of all time (Noorden et al., 2014). In practice, the threshold t is often (although not necessarily) much smaller ”
- Materials Cloud, a platform for open computational science (2020, background): “org), the pervasiveness of computational (materials) science in the scientific literature [44], and its relevance to pressing societal challenges [45], maintaining functional research infrastructures for computational science – at comparatively low cost – would seem like a forward-looking investment”
- Evaluating Fast Maximum Likelihood-Based Phylogenetic Programs Using Empirical Phylogenomic Data Sets (2017, methodology): “This is evident by the success of the Neighbor-Joining (NJ) method, a distance-based clustering (instead of tree searching) algorithm (Saitou and Nei 1987) that is the most highly cited phylogenetic method (Van Noorden et al. 2014).”
- Pushing the frontiers of density functionals by solving the fractional electron problem (2021, unknown): “G21EA [6] G21IP [16] DIPCS10 [2] GMTKN55 (Kr+) [62] W4-11 [3]”
- The evolution of sentiment analysis - A review of research topics, venues, and top cited papers (2016, methodology): “Using citation counts has been previously done for example [Van Noorden et al. 2014; Garousi and Fernandes 2016] that studied the 100 most cited papers published in Nature and in Software Engineering.”