M. S. Dunnill
- Pulmonary and Respiratory Medicine top 0.5%
- Molecular Biology top 5%
- Physiology top 2%
- Surgery top 5%
- Oncology top 5%
- Co-authors
- Jane AndersonG. R. MassarellaW. AherneKevin C. GatterD O OliverK C GatterDavid Y. MasonP. R. Millard
- Topics
- Renal Transplantation Outcomes and Treatments (13 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (10 papers)Renal Diseases and Glomerulopathies (9 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
M. S. Dunnill
103 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Pulmonary and Respiratory Medicine 3.1k
- Molecular Biology 1.3k
- Physiology 1.3k
- Surgery 1.0k
- Oncology 831
Countries citing papers authored by M. S. Dunnill
This map shows the geographic impact of M. S. Dunnill'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 M. S. Dunnill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. S. Dunnill more than expected).
Fields of papers citing papers by M. S. Dunnill
This network shows the impact of papers produced by M. S. Dunnill. 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 M. S. Dunnill. The network helps show where M. S. Dunnill may publish in the future.
Co-authorship network of co-authors of M. S. Dunnill
This figure shows the co-authorship network connecting the top 25 collaborators of M. S. Dunnill. A scholar is included among the top collaborators of M. S. Dunnill 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 M. S. Dunnill. M. S. Dunnill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | bcl-2 Protein in Non-Small-Cell Lung Carcinomabreakdown → | 585 |
| 2 | 30 | |
| 3 | 128 | |
| 4 | 20 | |
| 5 | 7 | |
| 6 | 82 | |
| 7 | Renal allograft rupture and renal vein thrombosis. | 1 |
| 8 | 25 | |
| 9 | Immunohistology or conventional histology for the diagnosis of renal allograft rejection? | 1 |
| 10 | 25 | |
| 11 | 25 | |
| 12 | 25 | |
| 13 | 13 | |
| 14 | 120 | |
| 15 | 91 | |
| 16 | 40 | |
| 17 | 14 | |
| 18 | 23 | |
| 19 | 10 | |
| 20 | 88 |
About M. S. Dunnill
M. S. Dunnill is a scholar working on Transplantation, Internal Medicine and Nephrology, having authored 105 papers that have together received 7.1k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (13 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (10 papers) and Renal Diseases and Glomerulopathies (9 papers). The work is most often cited by research in Transplantation (336 citations), Pulmonary and Respiratory Medicine (3.1k citations) and Internal Medicine (235 citations). M. S. Dunnill has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Jane Anderson, G. R. Massarella, W. Aherne, Kevin C. Gatter, D O Oliver, K C Gatter, David Y. Mason, P. R. Millard, Adrian L. Harris and Işınsu Kuzu. Their work appears in journals such as Nature, New England Journal of Medicine and The Lancet.
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.