Mark Sutherland
Impact in
- Immunology top 10%
- Toxin Mechanisms and Immunotoxins
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Natural product bioactivities and synthesis 5
- Cancer therapeutics and mechanisms 5
- Glycosylation and Glycoproteins Research 3
- Immunology 13
- Toxin Mechanisms and Immunotoxins 12
- Co-authors
- Hendrik Fuchs (14 shared papers)Christopher Bachran (12 shared papers)Iring Heisler (7 shared papers)Diana Bachran (7 shared papers)Laurence H. Patterson (14 shared papers)Steven D. Shnyder (13 shared papers)Matthias F. Melzig (4 shared papers)T Schewe (4 shared papers)
- Journals
- Cancer Research (4 papers)FEBS Letters (2 papers)International Journal of Cancer (2 papers)PLoS ONE (2 papers)Cancers (2 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Mark Sutherland
40 papers receiving 978 citations
Peers
Comparison fields: 5 of 91
- Immunology 300
- Pharmacology 116
- Biotechnology 103
- Biochemistry 63
- Molecular Biology 577
Countries citing papers authored by Mark Sutherland
This map shows the geographic impact of Mark Sutherland'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 Sutherland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Sutherland more than expected).
Fields of papers citing papers by Mark Sutherland
This network shows the impact of papers produced by Mark Sutherland. 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 Sutherland. The network helps show where Mark Sutherland may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Sutherland, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 94 | |
| 2 | 2002 | 92 | |
| 3 | 2009 | 73 | |
| 4 | 2012 | 58 | |
| 5 | 2005 | 58 | |
| 6 | 2013 | 51 | |
| 7 | 2006 | 49 | |
| 8 | 2002 | 43 | |
| 9 | 2000 | 43 | |
| 10 | 2006 | 38 | |
| 11 | 2012 | 36 | |
| 12 | 1998 | 36 | |
| 13 | 2009 | 35 | |
| 14 | 2011 | 31 | |
| 15 | 2013 | 31 | |
| 16 | 2000 | 28 | |
| 17 | 2002 | 28 | |
| 18 | 1999 | 24 | |
| 19 | 2022 | 22 | |
| 20 | 2009 | 18 |
About Mark Sutherland
Mark Sutherland is a scholar working on Molecular Biology, Immunology, Oncology, Pharmacology and Neurology, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (12 papers), Pharmacogenetics and Drug Metabolism (5 papers), Natural product bioactivities and synthesis (5 papers), Cancer therapeutics and mechanisms (5 papers), Neuroblastoma Research and Treatments (4 papers), Cell Adhesion Molecules Research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Transgenic Plants and Applications (3 papers). The work is most often cited by research in Immunology (300 citations), Pharmacology (116 citations), Biotechnology (103 citations), Biochemistry (63 citations) and Molecular Biology (577 citations). Mark Sutherland has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Hendrik Fuchs, Christopher Bachran, Iring Heisler, Diana Bachran, Laurence H. Patterson, Steven D. Shnyder, Matthias F. Melzig, T Schewe, R Tauber and Santosh Nigam. Their work appears in journals such as Cancer Research, FEBS Letters, International Journal of Cancer, PLoS ONE and Cancers.
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.