Nathan Gamarra

1.7k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Nathan Gamarra is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Nathan Gamarra has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Pharmacology. Recurrent topics in Nathan Gamarra's work include Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (3 papers) and Microbial Natural Products and Biosynthesis (2 papers). Nathan Gamarra is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (3 papers) and Microbial Natural Products and Biosynthesis (2 papers). Nathan Gamarra collaborates with scholars based in United States, Austria and Germany. Nathan Gamarra's co-authors include Michael K. Rosen, Lynda K. Doolittle, Bryan A. Gibson, Lisa Henry, Daniel W. Gerlich, Sy Redding, Liv Jensen, Geeta J. Narlikar, Stephanie L. Johnson and Coral Y. Zhou and has published in prestigious journals such as Nature, Cell and Angewandte Chemie International Edition.

In The Last Decade

Nathan Gamarra

9 papers receiving 1.1k citations

Hit Papers

Organization of Chromatin by Intrinsic and Regulated Phas... 2019 2026 2021 2023 2019 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nathan Gamarra United States 8 1.0k 132 53 45 33 9 1.1k
Alec Heckert United States 7 1.3k 1.3× 119 0.9× 50 0.9× 77 1.7× 44 1.3× 10 1.4k
Sergey Bessonov Germany 11 891 0.9× 51 0.4× 35 0.7× 32 0.7× 27 0.8× 14 958
Marc Boehning Germany 6 909 0.9× 57 0.4× 42 0.8× 35 0.8× 30 0.9× 7 991
Kaige Yan China 14 838 0.8× 103 0.8× 93 1.8× 98 2.2× 79 2.4× 24 927
Yumiko Kurokawa Japan 17 839 0.8× 95 0.7× 102 1.9× 95 2.1× 90 2.7× 31 935
Tsuyoshi Imasaki United States 14 679 0.7× 62 0.5× 107 2.0× 71 1.6× 43 1.3× 23 764
Shintaro Aibara Sweden 19 906 0.9× 34 0.3× 36 0.7× 73 1.6× 65 2.0× 33 982
Wendy Walter United States 11 1.1k 1.1× 102 0.8× 30 0.6× 86 1.9× 52 1.6× 12 1.2k
Michael Lidschreiber Germany 19 1.5k 1.5× 111 0.8× 31 0.6× 63 1.4× 47 1.4× 34 1.6k
Colin M. Hammond United Kingdom 8 664 0.6× 68 0.5× 36 0.7× 53 1.2× 58 1.8× 10 752

Countries citing papers authored by Nathan Gamarra

Since Specialization
Citations

This map shows the geographic impact of Nathan Gamarra'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 Nathan Gamarra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Gamarra more than expected).

Fields of papers citing papers by Nathan Gamarra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan Gamarra. 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 Nathan Gamarra. The network helps show where Nathan Gamarra may publish in the future.

Co-authorship network of co-authors of Nathan Gamarra

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Gamarra. A scholar is included among the top collaborators of Nathan Gamarra 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 Nathan Gamarra. Nathan Gamarra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Moore, Camille M., et al.. (2022). A hexasome is the preferred substrate for the INO80 chromatin remodeling complex, allowing versatility of function. Molecular Cell. 82(11). 2098–2112.e4. 24 indexed citations
2.
Gamarra, Nathan & Geeta J. Narlikar. (2021). Collaboration through chromatin: motors of transcription and chromatin structure. Journal of Molecular Biology. 433(14). 166876–166876. 18 indexed citations
3.
Oh, Eugene, Kevin G. Mark, Edmond R. Watson, et al.. (2020). Gene expression and cell identity controlled by anaphase-promoting complex. Nature. 579(7797). 136–140. 67 indexed citations
4.
Armache, Jean‐Paul, Nathan Gamarra, Stephanie L. Johnson, et al.. (2019). Cryo-EM structures of remodeler-nucleosome intermediates suggest allosteric control through the nucleosome. eLife. 8. 57 indexed citations
5.
Gibson, Bryan A., Lynda K. Doolittle, Liv Jensen, et al.. (2019). Organization of Chromatin by Intrinsic and Regulated Phase Separation. Cell. 179(2). 470–484.e21. 723 indexed citations breakdown →
6.
Gamarra, Nathan, Stephanie L. Johnson, Michael J. Trnka, Alma L. Burlingame, & Geeta J. Narlikar. (2018). The nucleosomal acidic patch relieves auto-inhibition by the ISWI remodeler SNF2h. eLife. 7. 55 indexed citations
7.
Zhou, Coral Y., Stephanie L. Johnson, Nathan Gamarra, & Geeta J. Narlikar. (2016). Mechanisms of ATP-Dependent Chromatin Remodeling Motors. Annual Review of Biophysics. 45(1). 153–181. 115 indexed citations
8.
Barajas, Jesus F., Kara Finzel, Nathan Gamarra, et al.. (2016). Structural and Biochemical Analysis of Protein–Protein Interactions Between the Acyl‐Carrier Protein and Product Template Domain. Angewandte Chemie. 128(42). 13199–13203. 2 indexed citations
9.
Barajas, Jesus F., Kara Finzel, Nathan Gamarra, et al.. (2016). Structural and Biochemical Analysis of Protein–Protein Interactions Between the Acyl‐Carrier Protein and Product Template Domain. Angewandte Chemie International Edition. 55(42). 13005–13009. 13 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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