M. R. Howard
- Oncology top 5%
- Epidemiology top 10%
- Infectious Diseases top 5%
- Physiology top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Richard S. TedderIan WellerDenise WhitbyAndrew CopasRobert F. MillerThomas F. SchulzC. BoshoffM Tenant‐Flowers
- Topics
- Hematopoietic Stem Cell Transplantation (9 papers)Lymphoma Diagnosis and Treatment (4 papers)Transplantation: Methods and Outcomes (3 papers)
- Journals
- The LancetBloodTransplantation
- Partner nations
- United KingdomAustraliaIndia
In The Last Decade
M. R. Howard
17 papers receiving 975 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Oncology 733
- Epidemiology 464
- Infectious Diseases 359
- Physiology 197
- Pathology and Forensic Medicine 174
Countries citing papers authored by M. R. Howard
This map shows the geographic impact of M. R. Howard'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. R. Howard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. R. Howard more than expected).
Fields of papers citing papers by M. R. Howard
This network shows the impact of papers produced by M. R. Howard. 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. R. Howard. The network helps show where M. R. Howard may publish in the future.
Co-authorship network of co-authors of M. R. Howard
This figure shows the co-authorship network connecting the top 25 collaborators of M. R. Howard. A scholar is included among the top collaborators of M. R. Howard 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. R. Howard. M. R. Howard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | Detection of Kaposi sarcoma associated herpesvirus in peripheral blood of HIV-infected individuals and progression to Kaposi's sarcomabreakdown → | 702 |
| 4 | 4 | |
| 5 | Basophilia, t(15;17) translocation and atypical AML. | 3 |
| 6 | 7 | |
| 7 | Prospective evaluation of unrelated donor bone marrow transplantation. The International Marrow Unrelated Search and Transplant (IMUST) Study. | 74 |
| 8 | Unrelated donor marrow transplantation: an interim report from the IMUST Study. | 3 |
| 9 | 15 | |
| 10 | HLA-DR and DQ matching by DNA restriction fragment length polymorphism methods and the outcome of mixed lymphocyte reaction tests in unrelated bone marrow donor searches. The IMUST Study. | 3 |
| 11 | 6 | |
| 12 | 62 | |
| 13 | 1 | |
| 14 | 31 | |
| 15 | 3 | |
| 16 | 43 | |
| 17 | 40 |
About M. R. Howard
M. R. Howard is a scholar working on Hematology, Critical Care and Intensive Care Medicine and Genetics, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (9 papers), Lymphoma Diagnosis and Treatment (4 papers) and Transplantation: Methods and Outcomes (3 papers). The work is most often cited by research in Oncology (733 citations), Infectious Diseases (359 citations) and Epidemiology (464 citations). M. R. Howard has collaborated with scholars based in United Kingdom, Australia and India. Frequent co-authors include Richard S. Tedder, Ian Weller, Denise Whitby, Andrew Copas, Robert F. Miller, Thomas F. Schulz, C. Boshoff, M Tenant‐Flowers, Nicola S. Brink and Richard Weiss. Their work appears in journals such as The Lancet, Blood and Transplantation.
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.