Malcolm Pradhan
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
-
- Breast Cancer Treatment Studies
Papers in
-
- Genetic factors in colorectal cancer 2
- Oncology 4
- Cancer Diagnosis and Treatment 2
- Co-authors
- Gelareh Farshid (6 shared papers)Michael JR Edmonds (2 shared papers)W. B. Runciman (2 shared papers)John R. Goldblum (1 shared paper)Sharon W. Weiss (1 shared paper)Max Henrion (1 shared paper)Gregory Provan (1 shared paper)James Kollias (3 shared papers)
- Journals
- Cancer (2 papers)Pathology (2 papers)The Medical Journal of Australia (1 paper)The Breast (1 paper)BMJ Open (1 paper)
- Partner nations
- AustraliaUnited StatesBarbados
In The Last Decade
Malcolm Pradhan
14 papers receiving 382 citations
Peers
Comparison fields: 5 of 86
- Internal Medicine 61
- Cancer Research 69
- Medical Laboratory Technology 6
- Pathology and Forensic Medicine 55
- Pulmonary and Respiratory Medicine 93
Countries citing papers authored by Malcolm Pradhan
This map shows the geographic impact of Malcolm Pradhan'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 Malcolm Pradhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malcolm Pradhan more than expected).
Fields of papers citing papers by Malcolm Pradhan
This network shows the impact of papers produced by Malcolm Pradhan. 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 Malcolm Pradhan. The network helps show where Malcolm Pradhan may publish in the future.
Co-authors
The 22 scholars most cited alongside Malcolm Pradhan, 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 | 2002 | 100 | |
| 2 | 2004 | 98 | |
| 3 | 1996 | 93 | |
| 4 | 2004 | 41 | |
| 5 | 2000 | 31 | |
| 6 | 2001 | 19 | |
| 7 | 2003 | 14 | |
| 8 | 2000 | 5 | |
| 9 | 2023 | 3 | |
| 10 | 2013 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2010 | 1 | |
| 14 | 2000 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 |
About Malcolm Pradhan
Malcolm Pradhan is a scholar working on Pathology and Forensic Medicine, Oncology, Artificial Intelligence, Health Information Management and Cancer Research, having authored 16 papers that have together received 412 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (3 papers), Machine Learning in Healthcare (2 papers), Cancer Diagnosis and Treatment (2 papers), Electronic Health Records Systems (2 papers), Bayesian Modeling and Causal Inference (2 papers), Genetic factors in colorectal cancer (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Internal Medicine (61 citations), Cancer Research (69 citations), Medical Laboratory Technology (6 citations), Pathology and Forensic Medicine (55 citations) and Pulmonary and Respiratory Medicine (93 citations). Malcolm Pradhan has collaborated with scholars based in Australia, United States and Barbados. Frequent co-authors include Gelareh Farshid, Michael JR Edmonds, W. B. Runciman, John R. Goldblum, Sharon W. Weiss, Max Henrion, Gregory Provan, James Kollias, P. Grantley Gill and Brendon J. Coventry. Their work appears in journals such as Cancer, Pathology, The Medical Journal of Australia, The Breast and BMJ Open.
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.