David Nathanson

28 total papers · 1.0k total citations
22 papers, 820 citations indexed

About

David Nathanson is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, David Nathanson has authored 22 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in David Nathanson's work include Diabetes Treatment and Management (16 papers), Diabetes Management and Research (5 papers) and Neuropeptides and Animal Physiology (5 papers). David Nathanson is often cited by papers focused on Diabetes Treatment and Management (16 papers), Diabetes Management and Research (5 papers) and Neuropeptides and Animal Physiology (5 papers). David Nathanson collaborates with scholars based in Sweden, Germany and United States. David Nathanson's co-authors include Thomas Nyström, Åke Sjöholm, Jan W. Eriksson, Anna Norhammar, Johan Bodegård, Marcus Thuresson, Cesare Patrone, Thomas Klein, Vladimer Darsalia and Martin Larsson and has published in prestigious journals such as PLoS ONE, Diabetologia and Journal of Cerebral Blood Flow & Metabolism.

In The Last Decade

David Nathanson

20 papers receiving 808 citations

Author Peers

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

Author						Papers	Cites
David Nathanson	607	304	176	105	103	22	820
Yuri Nishino	439 0.7×	199 0.7×	131 0.7×	95 0.9×	50 0.5×	27	903
Cendrine Cabou	369 0.6×	342 1.1×	299 1.7×	120 1.1×	93 0.9×	28	975
Gilles‐Jacques Rivière	252 0.4×	351 1.2×	99 0.6×	112 1.1×	102 1.0×	19	865
Renato O. Crajoinas	463 0.8×	265 0.9×	179 1.0×	134 1.3×	88 0.9×	24	710
Motofumi Sasaki	332 0.5×	201 0.7×	177 1.0×	139 1.3×	49 0.5×	16	779
Atsuko Abiko	336 0.6×	285 0.9×	201 1.1×	66 0.6×	60 0.6×	26	791
Markus Alter	457 0.8×	217 0.7×	157 0.9×	194 1.8×	133 1.3×	23	861
Richard W Simpson	691 1.1×	347 1.1×	237 1.3×	161 1.5×	66 0.6×	18	971
Nobuyuki Banba	255 0.4×	246 0.8×	138 0.8×	129 1.2×	55 0.5×	35	975
Elodie M. Varin	502 0.8×	323 1.1×	352 2.0×	48 0.5×	169 1.6×	18	872

Countries citing papers authored by David Nathanson

Since Specialization

Citations

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

Fields of papers citing papers by David Nathanson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Nathanson

This figure shows the co-authorship network connecting the top 25 collaborators of David Nathanson. A scholar is included among the top collaborators of David Nathanson 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 Nathanson. David Nathanson 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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