Javier El‐Bietar
Impact in
- Transplantation top 1%
- Renal Transplantation Outcomes and Treatments
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
- Hematology 16
- Hematopoietic Stem Cell Transplantation 15
- Acute Myeloid Leukemia Research 4
- Immunology 14
- Complement system in diseases 8
- Co-authors
- Christopher E. Dandoy (36 shared papers)Kasiani C. Myers (33 shared papers)Sonata Jodele (29 shared papers)Stella M. Davies (35 shared papers)Benjamin L. Laskin (5 shared papers)Gregory Wallace (14 shared papers)Jens Goebel (4 shared papers)Adam Lane (18 shared papers)
- Journals
- Biology of Blood and Marrow Transplantation (24 papers)Bone Marrow Transplantation (5 papers)Pediatric Blood & Cancer (4 papers)Blood (3 papers)Archives of Pathology & Laboratory Medicine (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Javier El‐Bietar
43 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 71
- Transplantation 329
- Hematology 464
- Nephrology 213
- Immunology 629
- Genetics 134
Countries citing papers authored by Javier El‐Bietar
This map shows the geographic impact of Javier El‐Bietar'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 Javier El‐Bietar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier El‐Bietar more than expected).
Fields of papers citing papers by Javier El‐Bietar
This network shows the impact of papers produced by Javier El‐Bietar. 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 Javier El‐Bietar. The network helps show where Javier El‐Bietar may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier El‐Bietar, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 296 | |
| 2 | 2014 | 246 | |
| 3 | 2017 | 85 | |
| 4 | 2016 | 82 | |
| 5 | 2015 | 59 | |
| 6 | 2016 | 55 | |
| 7 | 2015 | 53 | |
| 8 | 2014 | 44 | |
| 9 | 2016 | 40 | |
| 10 | 2014 | 33 | |
| 11 | 2015 | 29 | |
| 12 | 2019 | 29 | |
| 13 | 2017 | 29 | |
| 14 | 2017 | 25 | |
| 15 | 2016 | 25 | |
| 16 | 2016 | 23 | |
| 17 | 2018 | 22 | |
| 18 | 2020 | 18 | |
| 19 | 2016 | 18 | |
| 20 | 2017 | 17 |
About Javier El‐Bietar
Javier El‐Bietar is a scholar working on Hematology, Immunology, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine and Surgery, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (15 papers), Renal Transplantation Outcomes and Treatments (8 papers), Complement system in diseases (8 papers), Acute Lymphoblastic Leukemia research (7 papers), Neurological Complications and Syndromes (5 papers), Chemotherapy-induced cardiotoxicity and mitigation (4 papers), Acute Myeloid Leukemia Research (4 papers) and Renal Diseases and Glomerulopathies (4 papers). The work is most often cited by research in Transplantation (329 citations), Hematology (464 citations), Nephrology (213 citations), Immunology (629 citations) and Genetics (134 citations). Javier El‐Bietar has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Christopher E. Dandoy, Kasiani C. Myers, Sonata Jodele, Stella M. Davies, Benjamin L. Laskin, Gregory Wallace, Jens Goebel, Adam Lane, Michael Grimley and Bradley P. Dixon. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation, Pediatric Blood & Cancer, Blood and Archives of Pathology & Laboratory Medicine.
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.