Mark D. Gorrell
Impact in
- Oncology top 0.5%
- Peptidase Inhibition and Analysis
-
- Neuropeptides and Animal Physiology
Papers in
- Oncology 73
- Peptidase Inhibition and Analysis 72
-
- Neuropeptides and Animal Physiology 41
- Co-authors
- Geoffrey W. McCaughan (63 shared papers)Catherine A. Abbott (21 shared papers)Denise Yu (14 shared papers)Fiona M. Keane (11 shared papers)Vanessa Gysbers (3 shared papers)Nicholas Shackel (10 shared papers)Miriam Levy (8 shared papers)Oliver Schilling (2 shared papers)
- Journals
- Advances in experimental medicine and biology (5 papers)Hepatology (5 papers)Cancers (4 papers)FEBS Journal (4 papers)Scientific Reports (3 papers)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Mark D. Gorrell
127 papers receiving 6.4k citations
Peers
Comparison fields: 5 of 140
- Oncology 3.3k
- Cellular and Molecular Neuroscience 1.5k
- Endocrinology, Diabetes and Metabolism 1.1k
- Cancer Research 908
- Hepatology 438
Countries citing papers authored by Mark D. Gorrell
This map shows the geographic impact of Mark D. Gorrell'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 D. Gorrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Gorrell more than expected).
Fields of papers citing papers by Mark D. Gorrell
This network shows the impact of papers produced by Mark D. Gorrell. 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 D. Gorrell. The network helps show where Mark D. Gorrell may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark D. Gorrell, 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 370 | |
| 2 | 2003 | 339 | |
| 3 | 2001 | 311 | |
| 4 | 1997 | 299 | |
| 5 | 1999 | 280 | |
| 6 | 2005 | 274 | |
| 7 | 2000 | 218 | |
| 8 | 2012 | 199 | |
| 9 | 2005 | 150 | |
| 10 | 2009 | 149 | |
| 11 | 2002 | 141 | |
| 12 | 2010 | 140 | |
| 13 | 2002 | 118 | |
| 14 | 2020 | 115 | |
| 15 | 2004 | 112 | |
| 16 | 1992 | 111 | |
| 17 | 1999 | 104 | |
| 18 | 2011 | 100 | |
| 19 | 2010 | 88 | |
| 20 | 1999 | 78 |
About Mark D. Gorrell
Mark D. Gorrell is a scholar working on Oncology, Cellular and Molecular Neuroscience, Molecular Biology, Epidemiology and Cancer Research, having authored 130 papers that have together received 6.5k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (72 papers), Neuropeptides and Animal Physiology (41 papers), Protease and Inhibitor Mechanisms (20 papers), Liver Disease Diagnosis and Treatment (16 papers), Diabetes Treatment and Management (14 papers), Signaling Pathways in Disease (12 papers), Glycosylation and Glycoproteins Research (6 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Oncology (3.3k citations), Cellular and Molecular Neuroscience (1.5k citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Cancer Research (908 citations) and Hepatology (438 citations). Mark D. Gorrell has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Geoffrey W. McCaughan, Catherine A. Abbott, Denise Yu, Fiona M. Keane, Vanessa Gysbers, Nicholas Shackel, Miriam Levy, Oliver Schilling, Stefan Tholen and Elizabeth Hamson. Their work appears in journals such as Advances in experimental medicine and biology, Hepatology, Cancers, FEBS Journal and Scientific Reports.
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.