John E. Kerrigan
- Toxicology top 2%
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 6
- Cancer therapeutics and mechanisms 5
- Biochemical and Molecular Research 4
- Protein Kinase Regulation and GTPase Signaling 4
- DNA and Nucleic Acid Chemistry 4
- Cancer Research top 10%
- Synthesis and Biological Activity 4
- Cancer, Hypoxia, and Metabolism 4
- Oncology top 10%
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- Synthesis and Biological Evaluation 5
- Co-authors
- Daniel S. PilchLeroy F. LiuYi Lisa LyuYuan‐Chin TsaiChao‐Po LinAnna M. AzarovaYi BanMalvika Kaul
- Journals
- Bioorganic & Medicinal Chemistry Letters (5 papers)Journal of Biological Chemistry (3 papers)Journal of Medicinal Chemistry (3 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
John E. Kerrigan
53 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 109
- Toxicology 84
- Molecular Biology 1.2k
- Cancer Research 256
- Oncology 416
- Cardiology and Cardiovascular Medicine 347
Countries citing papers authored by John E. Kerrigan
This map shows the geographic impact of John E. Kerrigan'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 John E. Kerrigan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Kerrigan more than expected).
Fields of papers citing papers by John E. Kerrigan
This network shows the impact of papers produced by John E. Kerrigan. 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 John E. Kerrigan. The network helps show where John E. Kerrigan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John E. Kerrigan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 49 | |
| 2 | 2015 | 24 | |
| 3 | 2013 | 9 | |
| 4 | 2013 | 159 | |
| 5 | 2013 | 20 | |
| 6 | 2012 | 27 | |
| 7 | 2012 | 9 | |
| 8 | 2011 | 45 | |
| 9 | 2010 | 25 | |
| 10 | 2008 | 20 | |
| 11 | 2006 | 64 | |
| 12 | 2006 | 11 | |
| 13 | 2003 | 103 | |
| 14 | 2003 | 11 | |
| 15 | 2000 | 12 | |
| 16 | 1998 | 14 | |
| 17 | 1996 | 3 | |
| 18 | 1994 | 48 | |
| 19 | 1993 | 3 | |
| 20 | 1992 | 51 |
About John E. Kerrigan
John E. Kerrigan is a scholar working on Molecular Medicine, Cancer Research, Toxicology, Molecular Biology and Organic Chemistry, having authored 53 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (6 papers), Cancer therapeutics and mechanisms (5 papers), Synthesis and Biological Evaluation (5 papers), Biochemical and Molecular Research (4 papers), Synthesis and Biological Activity (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), DNA and Nucleic Acid Chemistry (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Toxicology (84 citations), Molecular Biology (1.2k citations), Cancer Research (256 citations), Oncology (416 citations) and Cardiology and Cardiovascular Medicine (347 citations). John E. Kerrigan has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Daniel S. Pilch, Leroy F. Liu, Yi Lisa Lyu, Yuan‐Chin Tsai, Chao‐Po Lin, Anna M. Azarova, Yi Ban, Malvika Kaul, Joseph R. Bertino and Christopher M. Barbieri. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, Journal of Medicinal Chemistry, Clinical Cancer Research and Molecular Pharmacology.
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.