Natalie Stephens

39 total papers · 11.3k total citations
24 papers, 523 citations indexed

About

Natalie Stephens is a scholar working on Physiology, Epidemiology and Cell Biology. According to data from OpenAlex, Natalie Stephens has authored 24 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 6 papers in Epidemiology and 6 papers in Cell Biology. Recurrent topics in Natalie Stephens's work include Adipose Tissue and Metabolism (8 papers), Trypanosoma species research and implications (6 papers) and Research on Leishmaniasis Studies (5 papers). Natalie Stephens is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Trypanosoma species research and implications (6 papers) and Research on Leishmaniasis Studies (5 papers). Natalie Stephens collaborates with scholars based in United States, United Kingdom and Netherlands. Natalie Stephens's co-authors include Lauren M. Sparks, Stephen L. Hajduk, Steven J. Swoap, Steven R. Smith, Rudo Kieft, Lauren M. Sparks, Gerard A. Malanga, Peter A. Everts, Kenneth Mautner and Fanchao Yi and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Natalie Stephens

24 papers receiving 519 citations

Author Peers

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

Author Last Decade Papers Cites
Natalie Stephens 267 134 105 78 65 24 523
Heidi B. IglayReger 179 0.7× 73 0.5× 167 1.6× 57 0.7× 22 0.3× 22 503
Glenn M Hashiro 122 0.5× 44 0.3× 54 0.5× 21 0.3× 47 0.7× 15 495
William E. Hughes 160 0.6× 103 0.8× 81 0.8× 33 0.4× 24 0.4× 39 560
Edward T. Gilbert-Kawai 105 0.4× 59 0.4× 57 0.5× 32 0.4× 147 2.3× 31 553
Wagner S. Dantas 304 1.1× 62 0.5× 182 1.7× 95 1.2× 11 0.2× 34 609
Elizabeth Henny Herningtyas 178 0.7× 57 0.4× 210 2.0× 25 0.3× 86 1.3× 20 495
Arif Yönem 116 0.4× 162 1.2× 71 0.7× 87 1.1× 105 1.6× 25 616
Leandro Borges 94 0.4× 61 0.5× 86 0.8× 17 0.2× 45 0.7× 31 541
Charalambos Roussos 135 0.5× 52 0.4× 91 0.9× 24 0.3× 93 1.4× 31 604
Masashi Kuroda 231 0.9× 144 1.1× 201 1.9× 23 0.3× 17 0.3× 38 586

Countries citing papers authored by Natalie Stephens

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Stephens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Stephens

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