Csaba Bödör
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 64
- Chronic Lymphocytic Leukemia Research 44
- Myeloproliferative Neoplasms: Diagnosis and Treatment 15
-
- Lymphoma Diagnosis and Treatment 53
- Co-authors
- András Matolcsy (31 shared papers)Jude Fitzgibbon (14 shared papers)John G. Gribben (7 shared papers)Sameena Iqbal (7 shared papers)Judit Csomor (20 shared papers)Maria Calaminici (4 shared papers)Ágota Szepesi (8 shared papers)Andrew James Clear (4 shared papers)
- Journals
- Blood (12 papers)Pathology & Oncology Research (9 papers)Leukemia (8 papers)PLoS ONE (5 papers)Haematologica (5 papers)
- Partner nations
- HungaryUnited KingdomUnited States
In The Last Decade
Csaba Bödör
146 papers receiving 3.5k citations
Csaba Bödör's Hit Papers
Peers
Comparison fields: 5 of 114
- Genetics 1.1k
- Pathology and Forensic Medicine 1.3k
- Hematology 717
- Immunology 731
- Oncology 807
Countries citing papers authored by Csaba Bödör
This map shows the geographic impact of Csaba Bödör'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 Csaba Bödör with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Bödör more than expected).
Fields of papers citing papers by Csaba Bödör
This network shows the impact of papers produced by Csaba Bödör. 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 Csaba Bödör. The network helps show where Csaba Bödör may publish in the future.
Co-authors
The 25 scholars most cited alongside Csaba Bödör, 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 162 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Integrated genomic analysis identifies recurrent mutations and evolution patterns driving the initiation and progression of follicular lymphoma Hit paper breakdown → | 2013 | 611 |
| 2 | 2013 | 273 | |
| 3 | 2015 | 160 | |
| 4 | 2015 | 156 | |
| 5 | 2012 | 141 | |
| 6 | 2011 | 123 | |
| 7 | 2013 | 107 | |
| 8 | 2020 | 97 | |
| 9 | 2020 | 91 | |
| 10 | 2012 | 84 | |
| 11 | 2020 | 71 | |
| 12 | 2010 | 65 | |
| 13 | 2007 | 61 | |
| 14 | 2006 | 56 | |
| 15 | 2023 | 56 | |
| 16 | 2018 | 53 | |
| 17 | 2011 | 48 | |
| 18 | 2019 | 47 | |
| 19 | 2013 | 45 | |
| 20 | 2002 | 45 |
About Csaba Bödör
Csaba Bödör is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Cancer Research and Immunology, having authored 162 papers that have together received 3.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (53 papers), Chronic Lymphocytic Leukemia Research (44 papers), Acute Myeloid Leukemia Research (33 papers), Cancer Genomics and Diagnostics (22 papers), Immunodeficiency and Autoimmune Disorders (16 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (15 papers), Epigenetics and DNA Methylation (13 papers) and Viral-associated cancers and disorders (9 papers). The work is most often cited by research in Genetics (1.1k citations), Pathology and Forensic Medicine (1.3k citations), Hematology (717 citations), Immunology (731 citations) and Oncology (807 citations). Csaba Bödör has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include András Matolcsy, Jude Fitzgibbon, John G. Gribben, Sameena Iqbal, Judit Csomor, Maria Calaminici, Ágota Szepesi, Andrew James Clear, Sunil Iyengar and Katalin Dezső. Their work appears in journals such as Blood, Pathology & Oncology Research, Leukemia, PLoS ONE and Haematologica.
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.