John D. Short
Impact in
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- PI3K/AKT/mTOR signaling in cancer
- Ubiquitin and proteasome pathways
- Metabolism, Diabetes, and Cancer
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- Immune cells in cancer
Papers in
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- Redox biology and oxidative stress 6
- Insect Resistance and Genetics 3
- Ubiquitin and proteasome pathways 3
- Co-authors
- Reto Asmis (10 shared papers)Jose C. Granados (7 shared papers)Jianjun Shen (3 shared papers)Jinhee Kim (2 shared papers)Judith M. Bergeron (2 shared papers)Sina Tavakoli (8 shared papers)Ruifeng Guo (1 shared paper)Andrew R. Tee (1 shared paper)
- Journals
- European Journal of Medicinal Chemistry (3 papers)Free Radical Biology and Medicine (2 papers)Current Microbiology (2 papers)Journal of Biological Chemistry (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)
- Partner nations
- United StatesMexicoSouth Korea
In The Last Decade
John D. Short
25 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 679
- Immunology 190
- Cancer Research 104
- Cell Biology 93
- Biochemistry 39
Countries citing papers authored by John D. Short
This map shows the geographic impact of John D. Short'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 D. Short with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Short more than expected).
Fields of papers citing papers by John D. Short
This network shows the impact of papers produced by John D. Short. 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 D. Short. The network helps show where John D. Short may publish in the future.
Co-authors
The 25 scholars most cited alongside John D. Short, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 294 | |
| 2 | 2012 | 81 | |
| 3 | 2012 | 70 | |
| 4 | 2002 | 55 | |
| 5 | 2021 | 55 | |
| 6 | 2016 | 53 | |
| 7 | 2008 | 51 | |
| 8 | 2017 | 48 | |
| 9 | 2008 | 46 | |
| 10 | 2011 | 43 | |
| 11 | 2014 | 42 | |
| 12 | 2016 | 38 | |
| 13 | 2010 | 36 | |
| 14 | 2016 | 29 | |
| 15 | 2017 | 20 | |
| 16 | 2011 | 18 | |
| 17 | 2014 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2015 | 12 | |
| 20 | 2014 | 7 |
About John D. Short
John D. Short is a scholar working on Molecular Biology, Cancer Research, Organic Chemistry, Cardiology and Cardiovascular Medicine and Oncology, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Redox biology and oxidative stress (6 papers), Synthesis and biological activity (3 papers), Renin-Angiotensin System Studies (3 papers), Insect and Pesticide Research (3 papers), Insect Resistance and Genetics (3 papers), Ubiquitin and proteasome pathways (3 papers), Immune cells in cancer (3 papers) and Sulfur Compounds in Biology (2 papers). The work is most often cited by research in Molecular Biology (679 citations), Immunology (190 citations), Cancer Research (104 citations), Cell Biology (93 citations) and Biochemistry (39 citations). John D. Short has collaborated with scholars based in United States, Mexico and South Korea. Frequent co-authors include Reto Asmis, Jose C. Granados, Jianjun Shen, Jinhee Kim, Judith M. Bergeron, Sina Tavakoli, Ruifeng Guo, Andrew R. Tee, Kaoru Kiguchi and Cheryl L. Walker. Their work appears in journals such as European Journal of Medicinal Chemistry, Free Radical Biology and Medicine, Current Microbiology, Journal of Biological Chemistry and Arteriosclerosis Thrombosis and Vascular Biology.
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.