Mark J. Dresser
- Oncology top 2%
- Drug Transport and Resistance Mechanisms 16
- Physiology top 2%
- Adenosine and Purinergic Signaling 5
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism 4
- Clinical Biochemistry top 2%
- Biochemistry top 2%
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- Pharmacological Effects and Toxicity Studies 11
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- Sexual function and dysfunction studies 6
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- Urinary Bladder and Prostate Research 6
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- PI3K/AKT/mTOR signaling in cancer 5
- Melanoma and MAPK Pathways 4
- Co-authors
- Kathleen M. GiacominiAndrew T. GrayMaya K. LeabmanNageshwar BudhaLei ZhangSpencer C. YostShigeyuki TerashitaLeslie Z. Benet
- Cited by
- OncologyPhysiologyPharmacology
- Journals
- Journal of Biological Chemistry (1 paper)Journal of Clinical Oncology (2 papers)Biochemistry (3 papers)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Mark J. Dresser
49 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 121
- Oncology 1.3k
- Physiology 156
- Pharmacology 274
- Clinical Biochemistry 204
- Biochemistry 203
Countries citing papers authored by Mark J. Dresser
This map shows the geographic impact of Mark J. Dresser'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 Mark J. Dresser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark J. Dresser more than expected).
Fields of papers citing papers by Mark J. Dresser
This network shows the impact of papers produced by Mark J. Dresser. 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 Mark J. Dresser. The network helps show where Mark J. Dresser may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark J. Dresser, 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 | 2023 | 5 | |
| 2 | 2023 | 4 | |
| 3 | 2016 | 31 | |
| 4 | 2016 | 22 | |
| 5 | 2015 | 22 | |
| 6 | 2014 | 29 | |
| 7 | 2012 | 49 | |
| 8 | 2012 | 271 | |
| 9 | 2012 | 127 | |
| 10 | 2012 | 9 | |
| 11 | 2009 | 1 | |
| 12 | 2007 | 14 | |
| 13 | 2006 | 37 | |
| 14 | 2006 | 108 | |
| 15 | 2002 | 68 | |
| 16 | 2002 | 22 | |
| 17 | 2000 | 11 | |
| 18 | 1998 | 54 | |
| 19 | 1997 | 328 | |
| 20 | 1997 | 56 |
About Mark J. Dresser
Mark J. Dresser is a scholar working on Physiology, Urology and Oncology, having authored 49 papers that have together received 2.5k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (16 papers), Pharmacological Effects and Toxicity Studies (11 papers), Sexual function and dysfunction studies (6 papers), Urinary Bladder and Prostate Research (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Adenosine and Purinergic Signaling (5 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Melanoma and MAPK Pathways (4 papers). The work is most often cited by research in Oncology (1.3k citations), Physiology (156 citations) and Pharmacology (274 citations). Mark J. Dresser has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Kathleen M. Giacomini, Andrew T. Gray, Maya K. Leabman, Nageshwar Budha, Lei Zhang, Spencer C. Yost, Shigeyuki Terashita, Leslie Z. Benet, Adam Frymoyer and Scott N. Holden. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Biochemistry.
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.