R. M. Rowan
- Hematology top 2%
- Molecular Biology
- Oncology top 10%
- Genetics top 5%
- Physiology top 10%
- Co-authors
- David P. CurleyHirokazu ShigematsuIfor R. WilliamsBenjamin H. LeeKoichi AkashiD. Gary GillilandShinichi MizunoKenji Deguchi
- Topics
- Clinical Laboratory Practices and Quality Control (9 papers)Acute Myeloid Leukemia Research (6 papers)Digital Imaging for Blood Diseases (5 papers)
- Cited by
- HematologyGeneticsOncology
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
R. M. Rowan
27 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Hematology 609
- Molecular Biology 567
- Oncology 248
- Genetics 239
- Physiology 203
Countries citing papers authored by R. M. Rowan
This map shows the geographic impact of R. M. Rowan'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 R. M. Rowan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. M. Rowan more than expected).
Fields of papers citing papers by R. M. Rowan
This network shows the impact of papers produced by R. M. Rowan. 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 R. M. Rowan. The network helps show where R. M. Rowan may publish in the future.
Co-authorship network of co-authors of R. M. Rowan
This figure shows the co-authorship network connecting the top 25 collaborators of R. M. Rowan. A scholar is included among the top collaborators of R. M. Rowan 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 R. M. Rowan. R. M. Rowan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 41 | |
| 3 | 364 | |
| 4 | 6 | |
| 5 | MOZ-TIF2, but not BCR-ABL, confers properties of leukemic stem cells to committed murine hematopoietic progenitorsbreakdown → | 513 |
| 6 | 9 | |
| 7 | Advanced laboratory methods in haematology | 21 |
| 8 | International Council for Standardization in Haematology (ICSH) recommendations for single-use evacuated containers for blood specimen collection for hematological analyses | 2 |
| 9 | In vitro stability of the reticulocyte count. | 9 |
| 10 | 5 | |
| 11 | 32 | |
| 12 | 12 | |
| 13 | 13 | |
| 14 | Good practice in decentralized analytical clinical measurement. | 5 |
| 15 | 4 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 24 | |
| 19 | 4 | |
| 20 | 1 |
About R. M. Rowan
R. M. Rowan is a scholar working on Hematology, Genetics and Biochemistry, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (9 papers), Acute Myeloid Leukemia Research (6 papers) and Digital Imaging for Blood Diseases (5 papers). The work is most often cited by research in Hematology (609 citations), Genetics (239 citations) and Oncology (248 citations). R. M. Rowan has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include David P. Curley, Hirokazu Shigematsu, Ifor R. Williams, Benjamin H. Lee, Koichi Akashi, D. Gary Gilliland, Shinichi Mizuno, Kenji Deguchi, Brian J.P. Huntly and Joseph D. Growney. Their work appears in journals such as Blood, Cancer Cell and Journal of Clinical Pathology.
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.