Ken Cornell

63 papers receiving 2.1k citations

Peers

Ken Cornell
Comparison fields: 5 of 153
  • Endocrinology 116
  • Physiology 90
  • Molecular Biology 1.1k
  • Parasitology 96
  • Molecular Medicine 70
Replace Ahmed Haouz with:
Ahmed Haouz France
John M. Tomich United States
Dan Zilberstein Israel
Regina Célia Bressan Queiroz de Figueiredo Brazil
Thomas Roth United States
Angela Schmid Germany
Gary E. Dean United States
Shailja Singh India
Christine E. Smith United States
Mário Sérgio Palma Brazil
Ken Cornell relative to Ahmed Haouz France Ahmed Haouz's profile →
Citations per field
00.5×1.5×2.5×
Ahmed Haouz · 1×
Citations per year

Countries citing papers authored by Ken Cornell

Since Specialization
Citations

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

Fields of papers citing papers by Ken Cornell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ken Cornell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ken Cornell Line = papers co-authored together Ken Cornell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002276
2 2010213
3 2014161
4 1992102
5 201779
6 200476
7 200172
8 199665
9 200564
10 199659
11 201651
12 200651
13 200349
14 200348
15 199844
16 198543
17 200443
18 200737
19 199737
20 200435

About Ken Cornell

Ken Cornell is a scholar working on Physiology, Toxicology, Aging, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 65 papers that have together received 2.2k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (17 papers), T-cell and B-cell Immunology (6 papers), Plasma Applications and Diagnostics (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Nanoplatforms for cancer theranostics (5 papers), Adenosine and Purinergic Signaling (5 papers), Systemic Lupus Erythematosus Research (5 papers) and Polyamine Metabolism and Applications (5 papers). The work is most often cited by research in Endocrinology (116 citations), Physiology (90 citations), Molecular Biology (1.1k citations), Parasitology (96 citations) and Molecular Medicine (70 citations). Ken Cornell has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Nikhat Parveen, Michael K. Riscoe, P. Lynne Howell, Jeffrey E. Lee, J.H. Thurston, Robert M. Bennett, Steven H. Hefeneider, Paul W. Cook, Jeffrey Brown and David J. Hinrichs. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, Infection and Immunity, Journal of Investigative Dermatology and Clinical & Experimental Immunology.

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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