Nathan D. Pennock

103 total papers · 1.4k total citations
32 papers, 964 citations indexed

About

Nathan D. Pennock is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Nathan D. Pennock has authored 32 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 14 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Nathan D. Pennock's work include T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (9 papers) and Immunotherapy and Immune Responses (9 papers). Nathan D. Pennock is often cited by papers focused on T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (9 papers) and Immunotherapy and Immune Responses (9 papers). Nathan D. Pennock collaborates with scholars based in United States, India and Finland. Nathan D. Pennock's co-authors include Ross M. Kedl, Beth A. Jirón Tamburini, Jason T. White, Eric Cross, Pepper Schedin, Courtney B. Betts, Virginia F. Borges, Gisela Vaitaitis, Laurent Gapin and David H. Wagner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Nathan D. Pennock

30 papers receiving 948 citations

Author Peers

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

Author						Papers	Cites
Nathan D. Pennock	535	278	240	113	97	32	964
Connor J. Dwyer	530 1.0×	446 1.6×	252 1.1×	114 1.0×	76 0.8×	25	997
Brian Crain	583 1.1×	169 0.6×	258 1.1×	75 0.7×	144 1.5×	31	970
Morteza Motallebnezhad	377 0.7×	229 0.8×	388 1.6×	66 0.6×	100 1.0×	38	1.1k
Palash Bhattacharya	567 1.1×	228 0.8×	282 1.2×	115 1.0×	46 0.5×	31	1.2k
Raphaël Carapito	383 0.7×	197 0.7×	361 1.5×	139 1.2×	71 0.7×	66	1.2k
Karl‐Gösta Sundqvist	398 0.7×	182 0.7×	378 1.6×	100 0.9×	142 1.5×	42	1.1k
Joanne T. Hom	516 1.0×	202 0.7×	265 1.1×	53 0.5×	84 0.9×	24	1.1k
Yan Li	318 0.6×	364 1.3×	308 1.3×	94 0.8×	164 1.7×	38	979
Chunxiang Sun	448 0.8×	200 0.7×	469 2.0×	107 0.9×	65 0.7×	41	1.2k
Xinhui Wang	651 1.2×	318 1.1×	343 1.4×	55 0.5×	62 0.6×	28	1.0k

Countries citing papers authored by Nathan D. Pennock

Since Specialization

Citations

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

Fields of papers citing papers by Nathan D. Pennock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan D. Pennock

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan D. Pennock. A scholar is included among the top collaborators of Nathan D. Pennock 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 D. Pennock. Nathan D. Pennock 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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