Kenneth C. Appell

38 total papers · 1.2k total citations
31 papers, 922 citations indexed

About

Kenneth C. Appell is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Kenneth C. Appell has authored 31 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Immunology. Recurrent topics in Kenneth C. Appell's work include Receptor Mechanisms and Signaling (6 papers), Lipid Membrane Structure and Behavior (5 papers) and Chemokine receptors and signaling (5 papers). Kenneth C. Appell is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Lipid Membrane Structure and Behavior (5 papers) and Chemokine receptors and signaling (5 papers). Kenneth C. Appell collaborates with scholars based in United States, Sweden and Germany. Kenneth C. Appell's co-authors include Philip S. Low, Tsung H. Lin, Leslie J. Berg, Min Shi, Bruce E. Tomczuk, Ilana L. Stroke, Maria L. Webb, David P. Allen, Suresh B. Singh and Ian A. Simpson and has published in prestigious journals such as Journal of Biological Chemistry, Immunity and The Journal of Immunology.

In The Last Decade

Kenneth C. Appell

30 papers receiving 878 citations

Author Peers

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

Author Last Decade Papers Cites
Kenneth C. Appell 487 273 170 163 148 31 922
Leila K. Needham 577 1.2× 146 0.5× 165 1.0× 200 1.2× 84 0.6× 23 1.2k
Chun‐Yi Wu 453 0.9× 186 0.7× 92 0.5× 106 0.7× 133 0.9× 31 955
A. Y. Jeng 572 1.2× 361 1.3× 211 1.2× 198 1.2× 98 0.7× 35 1.2k
Carol W. Tiffany 420 0.9× 225 0.8× 127 0.7× 134 0.8× 101 0.7× 26 929
J. Wadsworth 552 1.1× 138 0.5× 122 0.7× 119 0.7× 74 0.5× 20 935
M. Reza Taheri 449 0.9× 210 0.8× 133 0.8× 91 0.6× 57 0.4× 23 1.1k
Jean‐Pierre Abita 660 1.4× 160 0.6× 163 1.0× 139 0.9× 155 1.0× 40 1.1k
Judit Csejtey 530 1.1× 261 1.0× 152 0.9× 190 1.2× 140 0.9× 21 1.1k
Eduardo Consiglio 716 1.5× 181 0.7× 179 1.1× 64 0.4× 96 0.6× 50 1.2k
Iain Uings 482 1.0× 305 1.1× 258 1.5× 77 0.5× 145 1.0× 41 1.2k

Countries citing papers authored by Kenneth C. Appell

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth C. Appell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth C. Appell. 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 Kenneth C. Appell. The network helps show where Kenneth C. Appell may publish in the future.

Co-authorship network of co-authors of Kenneth C. Appell

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth C. Appell. A scholar is included among the top collaborators of Kenneth C. Appell 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 Kenneth C. Appell. Kenneth C. Appell 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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