Ken Cornell
Impact in
- Endocrinology top 5%
- Physiology top 5%
- Adenosine and Purinergic Signaling
Papers in
-
- Biochemical and Molecular Research 16
-
- Monoclonal and Polyclonal Antibodies Research 6
- Plasma Applications and Diagnostics 6
- Co-authors
- Nikhat Parveen (5 shared papers)Michael K. Riscoe (16 shared papers)P. Lynne Howell (11 shared papers)Jeffrey E. Lee (7 shared papers)J.H. Thurston (5 shared papers)Robert M. Bennett (6 shared papers)Steven H. Hefeneider (6 shared papers)David J. Hinrichs (5 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (3 papers)Journal of Biological Chemistry (3 papers)Clinical & Experimental Immunology (2 papers)RSC Advances (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Ken Cornell
64 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 152
- Endocrinology 118
- Physiology 90
- Molecular Biology 1.1k
- Parasitology 92
- Molecular Medicine 68
Countries citing papers authored by Ken Cornell
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
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.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 276 | |
| 2 | 2010 | 218 | |
| 3 | 2014 | 168 | |
| 4 | 1992 | 102 | |
| 5 | 2017 | 80 | |
| 6 | 2004 | 75 | |
| 7 | 2001 | 72 | |
| 8 | 1996 | 66 | |
| 9 | 2005 | 64 | |
| 10 | 1996 | 59 | |
| 11 | 2016 | 52 | |
| 12 | 2006 | 51 | |
| 13 | 2003 | 50 | |
| 14 | 2003 | 48 | |
| 15 | 1998 | 45 | |
| 16 | 2004 | 44 | |
| 17 | 1985 | 43 | |
| 18 | 2007 | 37 | |
| 19 | 1997 | 37 | |
| 20 | 2004 | 36 |
About Ken Cornell
Ken Cornell is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Infectious Diseases and Organic Chemistry, having authored 65 papers that have together received 2.2k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (16 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Plasma Applications and Diagnostics (6 papers), T-cell and B-cell Immunology (6 papers), Systemic Lupus Erythematosus Research (5 papers), Adenosine and Purinergic Signaling (5 papers), Nanoplatforms for cancer theranostics (5 papers) and Advanced Photocatalysis Techniques (4 papers). The work is most often cited by research in Endocrinology (118 citations), Physiology (90 citations), Molecular Biology (1.1k citations), Parasitology (92 citations) and Molecular Medicine (68 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, David J. Hinrichs, Jeffrey Brown and Paul W. Cook. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, Clinical & Experimental Immunology, RSC Advances and Antimicrobial Agents and Chemotherapy.
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.