Javier El‐Bietar
- Transplantation top 1%
- Renal Transplantation Outcomes and Treatments 9
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation 16
- Acute Myeloid Leukemia Research 5
- Nephrology top 2%
- Renal Diseases and Glomerulopathies 5
- Immunology top 5%
- Complement system in diseases 8
- Genetics top 10%
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- Acute Lymphoblastic Leukemia research 8
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- Neurological Complications and Syndromes 5
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- Neutropenia and Cancer Infections 4
- Co-authors
- Christopher E. DandoyKasiani C. MyersSonata JodeleStella M. DaviesBenjamin L. LaskinGregory WallaceJens GoebelAdam Lane
- Cited by
- TransplantationHematologyNephrology
- Journals
- Biology of Blood and Marrow Transplantation (24 papers)Bone Marrow Transplantation (5 papers)Pediatric Blood & Cancer (4 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Javier El‐Bietar
43 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 73
- Transplantation 401
- Hematology 472
- Nephrology 265
- Immunology 634
- 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 7 | |
| 2 | 2019 | 3 | |
| 3 | 2019 | 25 | |
| 4 | 2019 | 2 | |
| 5 | 2018 | 22 | |
| 6 | 2017 | 17 | |
| 7 | 2017 | 28 | |
| 8 | 2016 | 9 | |
| 9 | 2016 | 77 | |
| 10 | 2016 | 18 | |
| 11 | 2016 | 40 | |
| 12 | 2016 | 21 | |
| 13 | 2016 | 24 | |
| 14 | 2015 | 27 | |
| 15 | 2015 | 54 | |
| 16 | 2015 | 48 | |
| 17 | 2014 | 29 | |
| 18 | 2014 | 35 | |
| 19 | 2012 | 5 | |
| 20 | 2011 | 7 |
About Javier El‐Bietar
Javier El‐Bietar is a scholar working on Transplantation, Hematology and Nephrology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (16 papers), Renal Transplantation Outcomes and Treatments (9 papers), Acute Lymphoblastic Leukemia research (8 papers), Complement system in diseases (8 papers), Acute Myeloid Leukemia Research (5 papers), Neurological Complications and Syndromes (5 papers), Renal Diseases and Glomerulopathies (5 papers) and Neutropenia and Cancer Infections (4 papers). The work is most often cited by research in Transplantation (401 citations), Hematology (472 citations) and Nephrology (265 citations). Javier El‐Bietar has collaborated with scholars based in United States, United Kingdom and Israel. 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.