DC Crossman
Impact in
- Hematology top 10%
- Blood Coagulation and Thrombosis Mechanisms
- Immunology and Allergy top 10%
Papers in
-
- Receptor Mechanisms and Signaling 4
-
- Neuropeptides and Animal Physiology 4
- Co-authors
- John H. McVey (3 shared papers)Sheila Francis (5 shared papers)CM Newman (2 shared papers)Allan Lawrie (3 shared papers)Jeremy D. Pearson (1 shared paper)Edward G. D. Tuddenham (1 shared paper)R W Fuller (3 shared papers)J Pearson (3 shared papers)
- Journals
- Heart (2 papers)British Journal of Clinical Pharmacology (2 papers)Blood (2 papers)British Journal of Pharmacology (2 papers)Circulation (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
DC Crossman
15 papers receiving 730 citations
Peers
Comparison fields: 5 of 78
- Hematology 138
- Immunology and Allergy 52
- Internal Medicine 24
- Genetics 61
- Cellular and Molecular Neuroscience 100
Countries citing papers authored by DC Crossman
This map shows the geographic impact of DC Crossman'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 DC Crossman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DC Crossman more than expected).
Fields of papers citing papers by DC Crossman
This network shows the impact of papers produced by DC Crossman. 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 DC Crossman. The network helps show where DC Crossman may publish in the future.
Co-authors
The 25 scholars most cited alongside DC Crossman, 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 | 2000 | 288 | |
| 2 | 1990 | 168 | |
| 3 | 1987 | 91 | |
| 4 | 1990 | 84 | |
| 5 | 1990 | 39 | |
| 6 | 1992 | 27 | |
| 7 | 1991 | 23 | |
| 8 | 1988 | 22 | |
| 9 | 1990 | 5 | |
| 10 | 1998 | 4 | |
| 11 | 1997 | 3 | |
| 12 | 2011 | 2 | |
| 13 | Apoptosis and cell proliferation following porcine coronary angioplasty | 1998 | 1 |
| 14 | 2010 | 1 | |
| 15 | OPG:TRAIL Ratio as a Potential Biomarker for Pulmonary Arterial Hypertension | 2009 | 1 |
| 16 | 2011 | 0 |
About DC Crossman
DC Crossman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Hematology and Cancer Research, having authored 16 papers that have together received 759 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (4 papers), Pulmonary Hypertension Research and Treatments (2 papers), Platelet Disorders and Treatments (2 papers), MicroRNA in disease regulation (2 papers), Folate and B Vitamins Research (1 paper), Cardiac Imaging and Diagnostics (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Hematology (138 citations), Immunology and Allergy (52 citations), Internal Medicine (24 citations), Genetics (61 citations) and Cellular and Molecular Neuroscience (100 citations). DC Crossman has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include John H. McVey, Sheila Francis, CM Newman, Allan Lawrie, Jeremy D. Pearson, Edward G. D. Tuddenham, R W Fuller, J Pearson, Susan D. Brain and Peter J. Barnes. Their work appears in journals such as Heart, British Journal of Clinical Pharmacology, Blood, British Journal of Pharmacology and Circulation.
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.