Nancy M. Lepak

18 total papers · 1.5k total citations
18 papers, 1.2k citations indexed

About

Nancy M. Lepak is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Nancy M. Lepak has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Physiology and 5 papers in Immunology. Recurrent topics in Nancy M. Lepak's work include Adipose Tissue and Metabolism (5 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (4 papers). Nancy M. Lepak is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (4 papers). Nancy M. Lepak collaborates with scholars based in United States. Nancy M. Lepak's co-authors include Susan L. Swain, Ginette Serrero, Debra K. Duso, David P. Harris, Frances E. Lund, Peter C. Sayles, Sheri M. Eaton, Lawrence L. Johnson, Laura Haynes and Gail E. Huston and has published in prestigious journals such as Journal of Biological Chemistry, Nature Immunology and The Journal of Immunology.

In The Last Decade

Nancy M. Lepak

18 papers receiving 1.2k citations

Hit Papers

Reciprocal regulation of ... 2000 2026 2008 2017 2000 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Nancy M. Lepak 779 222 187 146 91 18 1.2k
Humphrey Jh 708 0.9× 254 1.1× 100 0.5× 131 0.9× 94 1.0× 21 1.3k
Joseph S. Murray 711 0.9× 206 0.9× 128 0.7× 107 0.7× 110 1.2× 22 1.2k
Carla Eponina Carvalho-Pinto 872 1.1× 225 1.0× 158 0.8× 113 0.8× 170 1.9× 33 1.4k
Gianfranco Abbate 779 1.0× 172 0.8× 150 0.8× 135 0.9× 157 1.7× 29 1.3k
César Boggiano 737 0.9× 200 0.9× 144 0.8× 76 0.5× 109 1.2× 24 1.1k
T.A. Fleisher 570 0.7× 290 1.3× 88 0.5× 168 1.2× 127 1.4× 19 1.2k
King‐Hung Ko 626 0.8× 131 0.6× 153 0.8× 192 1.3× 136 1.5× 16 990
Eduardo Martínez-Soria 801 1.0× 238 1.1× 289 1.5× 136 0.9× 196 2.2× 21 1.3k
Ismé de Kleer 912 1.2× 359 1.6× 191 1.0× 91 0.6× 87 1.0× 16 1.4k
Debra K. Duso 869 1.1× 119 0.5× 171 0.9× 64 0.4× 91 1.0× 13 1.2k

Countries citing papers authored by Nancy M. Lepak

Since Specialization
Citations

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

Fields of papers citing papers by Nancy M. Lepak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy M. Lepak. 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 Nancy M. Lepak. The network helps show where Nancy M. Lepak may publish in the future.

Co-authorship network of co-authors of Nancy M. Lepak

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy M. Lepak. A scholar is included among the top collaborators of Nancy M. Lepak 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 Nancy M. Lepak. Nancy M. Lepak 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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