Nick Goldman

39.3k total citations · 8 hit papers
114 papers, 16.3k citations indexed

About

Nick Goldman is a scholar working on Molecular Biology, Genetics and Paleontology. According to data from OpenAlex, Nick Goldman has authored 114 papers receiving a total of 16.3k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Molecular Biology, 54 papers in Genetics and 19 papers in Paleontology. Recurrent topics in Nick Goldman's work include Genomics and Phylogenetic Studies (80 papers), Genetic diversity and population structure (42 papers) and RNA and protein synthesis mechanisms (30 papers). Nick Goldman is often cited by papers focused on Genomics and Phylogenetic Studies (80 papers), Genetic diversity and population structure (42 papers) and RNA and protein synthesis mechanisms (30 papers). Nick Goldman collaborates with scholars based in United Kingdom, United States and Germany. Nick Goldman's co-authors include Simon Whelan, Zefeng Yang, Ari Löytynoja, Ziheng Yang, Rasmus Nielsen, Jon P. Anderson, Allen G. Rodrigo, Píetro Lió, Adrian Friday and Tim Massingham and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Nick Goldman

110 papers receiving 15.9k citations

Hit Papers

A General Empirical Model... 1993 2026 2004 2015 2001 2000 1994 2000 2013 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nick Goldman 10.7k 5.4k 2.8k 1.9k 1.9k 114 16.3k
Antonis Rokas 8.9k 0.8× 4.0k 0.7× 4.2k 1.5× 1.7k 0.9× 2.9k 1.5× 263 15.8k
Manolo Gouy 10.5k 1.0× 3.2k 0.6× 3.2k 1.1× 3.2k 1.7× 1.1k 0.6× 100 16.1k
Roderic Page 6.3k 0.6× 4.2k 0.8× 4.5k 1.6× 3.2k 1.7× 3.2k 1.7× 129 16.7k
Lars S. Jermiin 7.4k 0.7× 3.5k 0.7× 3.1k 1.1× 3.1k 1.6× 3.5k 1.8× 83 15.8k
Hirohisa Kishino 8.6k 0.8× 7.0k 1.3× 3.1k 1.1× 3.8k 2.0× 3.7k 1.9× 146 17.9k
David Bryant 7.7k 0.7× 6.7k 1.2× 3.9k 1.4× 3.6k 1.9× 3.5k 1.8× 171 21.6k
Brant C. Faircloth 6.8k 0.6× 6.3k 1.2× 3.1k 1.1× 3.1k 1.6× 3.5k 1.8× 112 16.1k
Hervé Philippe 13.4k 1.3× 5.3k 1.0× 3.5k 1.2× 5.1k 2.6× 3.0k 1.6× 159 20.8k
Frédéric Delsuc 6.0k 0.6× 3.1k 0.6× 1.4k 0.5× 2.2k 1.1× 2.1k 1.1× 108 11.0k
Rafael Zardoya 6.4k 0.6× 3.6k 0.7× 1.5k 0.5× 2.9k 1.5× 1.5k 0.8× 147 12.5k

Countries citing papers authored by Nick Goldman

Since Specialization
Citations

This map shows the geographic impact of Nick Goldman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nick Goldman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick Goldman more than expected).

Fields of papers citing papers by Nick Goldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nick Goldman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nick Goldman. The network helps show where Nick Goldman may publish in the future.

Co-authorship network of co-authors of Nick Goldman

This figure shows the co-authorship network connecting the top 25 collaborators of Nick Goldman. A scholar is included among the top collaborators of Nick Goldman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nick Goldman. Nick Goldman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Goldman, Nick, et al.. (2026). Rate variation and recurrent sequence errors in pandemic-scale phylogenetics. Nature Methods. 23(3). 565–573.
2.
Bruno, Giulia, Michele Dipalo, Paolo Canepa, et al.. (2025). Raman identification of single nucleotides flowing through permeable plasmonic films. Nature Communications. 16(1). 9113–9113.
3.
Maio, Nicola De, et al.. (2025). Assessing phylogenetic confidence at pandemic scales. Nature. 647(8089). 472–478. 1 indexed citations
4.
Goldman, Nick, et al.. (2024). A generalized protein identification method for novel and diverse sequencing technologies. NAR Genomics and Bioinformatics. 6(3). lqae126–lqae126. 1 indexed citations
5.
Ghosh, Tanay, Rafael Almeida, Chao Zhao, et al.. (2024). A retroviral link to vertebrate myelination through retrotransposon-RNA-mediated control of myelin gene expression. Cell. 187(4). 814–830.e23. 7 indexed citations
6.
Sanchez, Santiago, et al.. (2024). Diversity and specificity of molecular functions in cyanobacterial symbionts. Scientific Reports. 14(1). 18658–18658. 4 indexed citations
7.
Maio, Nicola De, et al.. (2023). Maximum likelihood pandemic-scale phylogenetics. Nature Genetics. 55(5). 746–752. 25 indexed citations
8.
Weilguny, Lukas, Nicola De Maio, Rory Munro, et al.. (2023). Dynamic, adaptive sampling during nanopore sequencing using Bayesian experimental design. Nature Biotechnology. 41(7). 1018–1025. 44 indexed citations
9.
McBroome, Jakob, Bryan Thornlow, Angie S. Hinrichs, et al.. (2021). A Daily-Updated Database and Tools for Comprehensive SARS-CoV-2 Mutation-Annotated Trees. Molecular Biology and Evolution. 38(12). 5819–5824. 56 indexed citations
10.
Maio, Nicola De, Conor R. Walker, Yatish Turakhia, et al.. (2021). Mutation Rates and Selection on Synonymous Mutations in SARS-CoV-2. Genome Biology and Evolution. 13(5). 80 indexed citations
11.
Weber, Claudia, et al.. (2020). Ambiguity Coding Allows Accurate Inference of Evolutionary Parameters from Alignments in an Aggregated State-Space. Systematic Biology. 70(1). 21–32. 2 indexed citations
12.
Slodkowicz, Greg & Nick Goldman. (2020). Integrated structural and evolutionary analysis reveals common mechanisms underlying adaptive evolution in mammals. Proceedings of the National Academy of Sciences. 117(11). 5977–5986. 28 indexed citations
13.
Kozlov, Alexey M., et al.. (2019). Modeling Structural Constraints on Protein Evolution via Side-Chain Conformational States. Molecular Biology and Evolution. 36(9). 2086–2103. 10 indexed citations
14.
Löytynoja, Ari & Nick Goldman. (2017). Short template switch events explain mutation clusters in the human genome. Genome Research. 27(6). 1039–1049. 20 indexed citations
15.
Schwarz, Roland F., et al.. (2016). ALVIS: interactive non-aggregative visualization and explorative analysis of multiple sequence alignments. Nucleic Acids Research. 44(8). e77–e77. 6 indexed citations
16.
Washietl, Stefan, Sven Findeiß, Stephan A. Müller, et al.. (2011). RNAcode: Robust discrimination of coding and noncoding regions in comparative sequence data. RNA. 17(4). 578–594. 146 indexed citations
17.
Kosiol, Carolin & Nick Goldman. (2004). Different Versions of the Dayhoff Rate Matrix. Molecular Biology and Evolution. 22(2). 193–199. 106 indexed citations
18.
Hardison, Ross C., Krishna M. Roskin, Shan Yang, et al.. (2003). Covariation in Frequencies of Substitution, Deletion, Transposition, and Recombination During Eutherian Evolution. Genome Research. 13(1). 13–26. 241 indexed citations
19.
Goldman, Shira, et al.. (2000). Codon-substitution models for heterogeneous selection pressure at amino acid sites.. Genomics. 4 indexed citations
20.
Lió, Píetro & Nick Goldman. (1998). Models of Molecular Evolution and Phylogeny: Table 1.. Genome Research. 8(12). 1233–1244. 191 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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