Richard E. Broadberry
Impact in
- Hematology top 2%
- Blood groups and transfusion
- Physiology top 10%
- Erythrocyte Function and Pathophysiology
Papers in
- Hematology 14
- Blood groups and transfusion 14
- Physiology 10
- Erythrocyte Function and Pathophysiology 10
- Co-authors
- Marie Lin (15 shared papers)Ming-Chung Lin (1 shared paper)Yee‐Hsiung Chen (3 shared papers)Chen‐Chung Chu (2 shared papers)Peter Wen-Shyg Chiou (2 shared papers)J. A. Kohler (1 shared paper)Joyce Poole (1 shared paper)Sean G. Yates (1 shared paper)
- Journals
- Vox Sanguinis (8 papers)Transfusion (6 papers)Transfusion Medicine (3 papers)Human Heredity (2 papers)British Journal of Haematology (1 paper)
- Partner nations
- TaiwanUnited StatesPoland
In The Last Decade
Richard E. Broadberry
25 papers receiving 557 citations
Peers
Comparison fields: 5 of 60
- Hematology 361
- Physiology 263
- Biochemistry 40
- Genetics 59
- Genetics 129
Countries citing papers authored by Richard E. Broadberry
This map shows the geographic impact of Richard E. Broadberry'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 Richard E. Broadberry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard E. Broadberry more than expected).
Fields of papers citing papers by Richard E. Broadberry
This network shows the impact of papers produced by Richard E. Broadberry. 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 Richard E. Broadberry. The network helps show where Richard E. Broadberry may publish in the future.
Co-authors
The 19 scholars most cited alongside Richard E. Broadberry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 58 | |
| 2 | 1996 | 57 | |
| 3 | 1991 | 56 | |
| 4 | 1988 | 55 | |
| 5 | 1995 | 55 | |
| 6 | 1998 | 41 | |
| 7 | 1997 | 36 | |
| 8 | 2004 | 34 | |
| 9 | 1996 | 32 | |
| 10 | 1994 | 20 | |
| 11 | 1999 | 18 | |
| 12 | 1999 | 16 | |
| 13 | 1995 | 15 | |
| 14 | 1996 | 13 | |
| 15 | 1990 | 12 | |
| 16 | 1987 | 11 | |
| 17 | 1986 | 9 | |
| 18 | 1996 | 8 | |
| 19 | 1997 | 7 | |
| 20 | 1994 | 6 |
About Richard E. Broadberry
Richard E. Broadberry is a scholar working on Hematology, Physiology, Genetics, Molecular Biology and Epidemiology, having authored 25 papers that have together received 570 indexed citations. Recurring topics across this work include Blood groups and transfusion (14 papers), Erythrocyte Function and Pathophysiology (10 papers), Blood disorders and treatments (5 papers), Glycosylation and Glycoproteins Research (5 papers), Neonatal Health and Biochemistry (3 papers), Blood transfusion and management (3 papers), Diabetes and associated disorders (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Hematology (361 citations), Physiology (263 citations), Biochemistry (40 citations), Genetics (59 citations) and Genetics (129 citations). Richard E. Broadberry has collaborated with scholars based in Taiwan, United States and Poland. Frequent co-authors include Marie Lin, Ming-Chung Lin, Yee‐Hsiung Chen, Chen‐Chung Chu, Peter Wen-Shyg Chiou, J. A. Kohler, Joyce Poole, Sean G. Yates, I.F. Skidmore and George Garratty. Their work appears in journals such as Vox Sanguinis, Transfusion, Transfusion Medicine, Human Heredity and British Journal of Haematology.
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.