Keyvan Keyvanfar
Impact in
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Immunology top 2%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Hematology 52
- Hematopoietic Stem Cell Transplantation 34
- Acute Myeloid Leukemia Research 16
- Chronic Myeloid Leukemia Treatments 8
- Immunology 39
- T-cell and B-cell Immunology 21
- Co-authors
- Neal Young (39 shared papers)Sachiko Kajigaya (26 shared papers)Jichun Chen (16 shared papers)Katayoun Rezvani (15 shared papers)Elena E. Solomou (6 shared papers)A. John Barrett (9 shared papers)Stephan Mielke (6 shared papers)Bipin N. Savani (15 shared papers)
- Journals
- Blood (46 papers)Human Reproduction (7 papers)Experimental Hematology (6 papers)Haematologica (6 papers)Leukemia (4 papers)
- Partner nations
- United StatesSpainChina
In The Last Decade
Keyvan Keyvanfar
108 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 100
- Hematology 1.6k
- Immunology 1.1k
- Genetics 437
- Reproductive Medicine 265
- Genetics 695
Countries citing papers authored by Keyvan Keyvanfar
This map shows the geographic impact of Keyvan Keyvanfar'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 Keyvan Keyvanfar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keyvan Keyvanfar more than expected).
Fields of papers citing papers by Keyvan Keyvanfar
This network shows the impact of papers produced by Keyvan Keyvanfar. 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 Keyvan Keyvanfar. The network helps show where Keyvan Keyvanfar may publish in the future.
Co-authors
The 25 scholars most cited alongside Keyvan Keyvanfar, 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 407 | |
| 2 | 2015 | 323 | |
| 3 | 2006 | 308 | |
| 4 | 2008 | 206 | |
| 5 | 2005 | 204 | |
| 6 | 2007 | 188 | |
| 7 | 2010 | 152 | |
| 8 | 2004 | 143 | |
| 9 | 2007 | 143 | |
| 10 | 2006 | 131 | |
| 11 | 1993 | 113 | |
| 12 | 2008 | 113 | |
| 13 | 2010 | 113 | |
| 14 | 1998 | 111 | |
| 15 | 2011 | 101 | |
| 16 | 2014 | 101 | |
| 17 | 2018 | 98 | |
| 18 | 2007 | 84 | |
| 19 | 2016 | 83 | |
| 20 | 2009 | 81 |
About Keyvan Keyvanfar
Keyvan Keyvanfar is a scholar working on Hematology, Immunology, Genetics, Pediatrics, Perinatology and Child Health and Reproductive Medicine, having authored 109 papers that have together received 4.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (34 papers), T-cell and B-cell Immunology (21 papers), Acute Myeloid Leukemia Research (16 papers), Chronic Lymphocytic Leukemia Research (12 papers), Prenatal Screening and Diagnostics (8 papers), Chronic Myeloid Leukemia Treatments (8 papers), Blood disorders and treatments (7 papers) and Reproductive Health and Technologies (7 papers). The work is most often cited by research in Hematology (1.6k citations), Immunology (1.1k citations), Genetics (437 citations), Reproductive Medicine (265 citations) and Genetics (695 citations). Keyvan Keyvanfar has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Neal Young, Sachiko Kajigaya, Jichun Chen, Katayoun Rezvani, Elena E. Solomou, A. John Barrett, Stephan Mielke, Bipin N. Savani, Joseph D. Schulman and Edward F. Fugger. Their work appears in journals such as Blood, Human Reproduction, Experimental Hematology, Haematologica and Leukemia.
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.