Kenneth C. Appell

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, Maria L. Webb, Ilana L. Stroke, David P. Allen, Ian A. Simpson and Samuel W. Cushman 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 879 citations

Peers

Kenneth C. Appell
Comparison fields: 5 of 84
  • Molecular Biology 487
  • Physiology 273
  • Immunology 170
  • Cellular and Molecular Neuroscience 163
  • Oncology 148
Replace Eduardo Consiglio with:
Eduardo Consiglio Italy
Jean‐Pierre Abita France
Iain Uings United Kingdom
Yaacov Hod United States
Marta Manzoni Italy
Jiandi Zhang United States
Paul Rose United States
Tania Chernov-Rogan United States
Dagfinn Øgreid Norway
Markus Koglin Germany
Eduardo Consiglio Italy View profile →
Citations per field, relative to Kenneth C. Appell
Kenneth C. Appell · 1×
Citations per year, relative to Kenneth C. Appell
Kenneth C. Appell · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 8
2 22
3 101
4 7
5 4
6 2
7 34
8 28
9 35
10 12
11 12
12 32
13 14
14 47
15 13
16 57
17 5
18 16
19 41
20 24

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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