David N. Nicholson

559 total citations
10 papers, 345 citations indexed

About

David N. Nicholson is a scholar working on Molecular Biology, Biomaterials and Artificial Intelligence. According to data from OpenAlex, David N. Nicholson has authored 10 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Biomaterials and 3 papers in Artificial Intelligence. Recurrent topics in David N. Nicholson's work include Biomedical Text Mining and Ontologies (4 papers), Silk-based biomaterials and applications (3 papers) and Academic Publishing and Open Access (2 papers). David N. Nicholson is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Silk-based biomaterials and applications (3 papers) and Academic Publishing and Open Access (2 papers). David N. Nicholson collaborates with scholars based in United States, Slovenia and Canada. David N. Nicholson's co-authors include Casey S. Greene, Cheryl Y. Hayashi, Nicholas F. Lahens, Paul Babb, Matjaž Kuntner, Linden Higgins, Ingi Agnarsson, Benjamin F. Voight, John B. Hogenesch and Eun Ji Kim and has published in prestigious journals such as Nature Genetics, PLoS ONE and PLoS Biology.

In The Last Decade

David N. Nicholson

9 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David N. Nicholson United States	5	213	131	77	70	37	10	345
Matteo Togninalli Switzerland	9	117 0.5×	40 0.3×	81 1.1×	29 0.4×	17 0.5×	14	288
Jacqueline Peng United States	7	126 0.6×	6 0.0×	59 0.8×	29 0.4×	8 0.2×	10	211
Barbora Trubenová United Kingdom	9	95 0.4×	4 0.0×	85 1.1×	74 1.1×	45 1.2×	16	263
Barry Canton United States	4	664 3.1×	7 0.1×	189 2.5×	31 0.4×	12 0.3×	5	726
Teeraphan Laomettachit Thailand	10	160 0.8×	14 0.1×	29 0.4×	5 0.1×	18 0.5×	32	277
Parvathi Haridas Australia	8	114 0.5×	14 0.1×	46 0.6×	11 0.2×	11 0.3×	11	290
Alicja Pacholewska Switzerland	12	209 1.0×	8 0.1×	73 0.9×	24 0.3×	6 0.2×	20	407
Wei-Chung Shia Taiwan	9	96 0.5×	7 0.1×	23 0.3×	99 1.4×	2 0.1×	21	350
Fahim Farzadfard United States	7	483 2.3×	8 0.1×	101 1.3×	6 0.1×	11 0.3×	10	528
Prashant Vaidyanathan United States	8	741 3.5×	6 0.0×	157 2.0×	62 0.9×	31 0.8×	11	842

Countries citing papers authored by David N. Nicholson

Since Specialization

Citations

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

Fields of papers citing papers by David N. Nicholson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David N. Nicholson. 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 David N. Nicholson. The network helps show where David N. Nicholson may publish in the future.

Co-authorship network of co-authors of David N. Nicholson

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

All Works

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10 of 10 papers shown

Nicholson, David N., Faisal Alquaddoomi, Vincent Rubinetti, & Casey S. Greene. (2023). Changing word meanings in biomedical literature reveal pandemics and new technologies. BioData Mining. 16(1). 16–16. 2 indexed citations

Himmelstein, Daniel, Michael Zietz, Vincent Rubinetti, et al.. (2022). Hetnet connectivity search provides rapid insights into how biomedical entities are related. GigaScience. 12. 6 indexed citations

Babb, Paul, Matjaž Gregorič, Nicholas F. Lahens, et al.. (2022). Characterization of the genome and silk-gland transcriptomes of Darwin’s bark spider (Caerostris darwini). PLoS ONE. 17(6). e0268660–e0268660. 13 indexed citations

Nicholson, David N., et al.. (2022). Examining linguistic shifts between preprints and publications. PLoS Biology. 20(2). e3001470–e3001470. 9 indexed citations

Nicholson, David N., Daniel Himmelstein, & Casey S. Greene. (2022). Expanding a database-derived biomedical knowledge graph via multi-relation extraction from biomedical abstracts. BioData Mining. 15(1). 26–26. 4 indexed citations

Moore, Jason H., et al.. (2021). Ten important roles for academic leaders to promote equity, diversity, and inclusion in data science. BioData Mining. 14(1). 22–22. 3 indexed citations

Nicholson, David N. & Casey S. Greene. (2020). Constructing knowledge graphs and their biomedical applications. Computational and Structural Biotechnology Journal. 18. 1414–1428. 137 indexed citations

Babb, Paul, Nicholas F. Lahens, Sandra M. Correa-Garhwal, et al.. (2017). The Nephila clavipes genome highlights the diversity of spider silk genes and their complex expression. Nature Genetics. 49(6). 895–903. 168 indexed citations

Kessel, Chris van, et al.. (2014). Spider silk protein structure analysis by FTIR and STXM spectromicroscopy techniques. 2014(1). 35–42. 3 indexed citations

10.

Barr, P., et al.. (2000). <title>Executable architecture for the first digitized division</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4037. 94–101.

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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