David C. Crossman
- Molecular Biology top 5%
- Immunology top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Epidemiology top 5%
- Co-authors
- Sheila FrancisJulian GunnJanet ChamberlainRachael DewberryTim ChicoSteven DowerD.C. CumberlandAllan Lawrie
- Topics
- Atherosclerosis and Cardiovascular Diseases (13 papers)Adipokines, Inflammation, and Metabolic Diseases (10 papers)Coronary Interventions and Diagnostics (10 papers)
- Partner nations
- United KingdomUnited StatesHungary
In The Last Decade
David C. Crossman
88 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 138
- Molecular Biology 1.6k
- Immunology 1.2k
- Cardiology and Cardiovascular Medicine 792
- Surgery 764
- Epidemiology 615
Countries citing papers authored by David C. Crossman
This map shows the geographic impact of David C. 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 David C. Crossman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Crossman more than expected).
Fields of papers citing papers by David C. Crossman
This network shows the impact of papers produced by David C. 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 David C. Crossman. The network helps show where David C. Crossman may publish in the future.
Co-authorship network of co-authors of David C. Crossman
This figure shows the co-authorship network connecting the top 25 collaborators of David C. Crossman. A scholar is included among the top collaborators of David C. Crossman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David C. Crossman. David C. Crossman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 20 | |
| 3 | 162 | |
| 4 | 51 | |
| 5 | Abstract 3469: OPG:TRAIL Ratio as a Potential Biomarker for Pulmonary Arterial Hypertension | 1 |
| 6 | 13 | |
| 7 | 13 | |
| 8 | 63 | |
| 9 | 54 | |
| 10 | 43 | |
| 11 | 3 | |
| 12 | 84 | |
| 13 | 51 | |
| 14 | Real world small vessel coronary artery stenting: an analysis | 1 |
| 15 | 49 | |
| 16 | 9 | |
| 17 | Methylenetetrahydrofolate reductase polymorphism (C-677T) and coronary artery disease. | 9 |
| 18 | 24 | |
| 19 | 28 | |
| 20 | 13 |
About David C. Crossman
David C. Crossman is a scholar working on Physiology, Immunology and Immunology and Allergy, having authored 88 papers that have together received 4.1k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (13 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers) and Coronary Interventions and Diagnostics (10 papers). The work is most often cited by research in Immunology (1.2k citations), Physiology (185 citations) and Cardiology and Cardiovascular Medicine (792 citations). David C. Crossman has collaborated with scholars based in United Kingdom, United States and Hungary. Frequent co-authors include Sheila Francis, Julian Gunn, Janet Chamberlain, Rachael Dewberry, Tim Chico, Steven Dower, D.C. Cumberland, Allan Lawrie, Hazel M. Holden and Heather L. Wilson. Their work appears in journals such as Journal of Biological Chemistry, Circulation and The Journal of Experimental Medicine.
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.