Nathan A. Koonce

39 total papers · 1.0k total citations
30 papers, 764 citations indexed

About

Nathan A. Koonce is a scholar working on Molecular Biology, Biomedical Engineering and Reproductive Medicine. According to data from OpenAlex, Nathan A. Koonce has authored 30 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Biomedical Engineering and 8 papers in Reproductive Medicine. Recurrent topics in Nathan A. Koonce's work include Reproductive Health and Technologies (8 papers), Assisted Reproductive Technology and Twin Pregnancy (7 papers) and Nanoplatforms for cancer theranostics (7 papers). Nathan A. Koonce is often cited by papers focused on Reproductive Health and Technologies (8 papers), Assisted Reproductive Technology and Twin Pregnancy (7 papers) and Nanoplatforms for cancer theranostics (7 papers). Nathan A. Koonce collaborates with scholars based in United States, Portugal and Spain. Nathan A. Koonce's co-authors include Robert J. Griffin, Ruud P.M. Dings, Jessica Webber, Dmitry A. Nedosekin, Azemat Jamshidi‐Parsian, Peter M. Corry, Meenakshi Upreti, Chang W. Song, Vladimir P. Zharov and In Hwan Park and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Nathan A. Koonce

30 papers receiving 754 citations

Author Peers

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

Author						Papers	Cites
Nathan A. Koonce	269	207	148	143	138	30	764
Maureen Aliru	190 0.7×	203 1.0×	155 1.0×	119 0.8×	117 0.8×	19	677
Surya Murty	366 1.4×	229 1.1×	137 0.9×	222 1.6×	61 0.4×	25	814
Andrew N. Fontanella	362 1.3×	329 1.6×	154 1.0×	92 0.6×	186 1.3×	29	871
Jonatan Snir	169 0.6×	156 0.8×	135 0.9×	129 0.9×	180 1.3×	22	652
Wenzhi Tu	324 1.2×	384 1.9×	201 1.4×	140 1.0×	155 1.1×	41	888
Michael Armour	238 0.9×	160 0.8×	200 1.4×	157 1.1×	246 1.8×	21	809
Sébastien Penninckx	207 0.8×	139 0.7×	300 2.0×	82 0.6×	131 0.9×	28	628
Joseph J. Grudzinski	325 1.2×	174 0.8×	251 1.7×	193 1.3×	341 2.5×	43	908
Francis Man	245 0.9×	215 1.0×	108 0.7×	168 1.2×	209 1.5×	24	764
David Kryza	215 0.8×	193 0.9×	219 1.5×	70 0.5×	200 1.4×	55	767

Countries citing papers authored by Nathan A. Koonce

Since Specialization

Citations

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

Fields of papers citing papers by Nathan A. Koonce

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan A. Koonce

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

All Works

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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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