Mark R. Cunningham
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
- Oncology top 10%
- Drug Transport and Resistance Mechanisms
Papers in
-
- Microbial metabolism and enzyme function 3
- Genomics and Phylogenetic Studies 2
- Oncology 5
- Drug Transport and Resistance Mechanisms 2
- Co-authors
- Deepak V. Kilpadi (2 shared papers)Timothy C. Burn (3 shared papers)Bernard Selling (2 shared papers)Liang‐Shang Gan (1 shared paper)Richard Graham (1 shared paper)Ajay Madan (1 shared paper)Daniel R. Mudra (1 shared paper)Reid Huber (2 shared papers)
- Journals
- Gene (2 papers)Microbiome (1 paper)Frontiers in Ecology and Evolution (1 paper)mBio (1 paper)Protein Expression and Purification (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Mark R. Cunningham
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Pharmacology 249
- Oncology 308
- Surgery 245
- Endocrinology, Diabetes and Metabolism 87
- Genetics 143
Countries citing papers authored by Mark R. Cunningham
This map shows the geographic impact of Mark R. Cunningham'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 R. Cunningham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark R. Cunningham more than expected).
Fields of papers citing papers by Mark R. Cunningham
This network shows the impact of papers produced by Mark R. Cunningham. 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 R. Cunningham. The network helps show where Mark R. Cunningham may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark R. Cunningham, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 359 | |
| 2 | 2002 | 173 | |
| 3 | 2011 | 149 | |
| 4 | 2005 | 107 | |
| 5 | 2002 | 92 | |
| 6 | 2000 | 47 | |
| 7 | 2007 | 33 | |
| 8 | 2008 | 29 | |
| 9 | 2021 | 21 | |
| 10 | 2006 | 17 | |
| 11 | 2008 | 16 | |
| 12 | 2021 | 11 | |
| 13 | 2006 | 10 | |
| 14 | 2022 | 7 | |
| 15 | 2011 | 6 | |
| 16 | 1998 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 1998 | 5 | |
| 19 | 1992 | 5 | |
| 20 | 1987 | 1 |
About Mark R. Cunningham
Mark R. Cunningham is a scholar working on Molecular Biology, Oncology, Surgery, Immunology and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microbial metabolism and enzyme function (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Microbial Community Ecology and Physiology (2 papers), Genomics and Phylogenetic Studies (2 papers), Methane Hydrates and Related Phenomena (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Pharmacology (249 citations), Oncology (308 citations), Surgery (245 citations), Endocrinology, Diabetes and Metabolism (87 citations) and Genetics (143 citations). Mark R. Cunningham has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Deepak V. Kilpadi, Timothy C. Burn, Bernard Selling, Liang‐Shang Gan, Richard Graham, Ajay Madan, Daniel R. Mudra, Reid Huber, Sean Kim and K. K. Carroll. Their work appears in journals such as Gene, Microbiome, Frontiers in Ecology and Evolution, mBio and Protein Expression and Purification.
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.