Csaba Bödör
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 46
- Chronic Lymphocytic Leukemia Research 34
- Myeloproliferative Neoplasms: Diagnosis and Treatment 9
-
- Lymphoma Diagnosis and Treatment 40
- Co-authors
- András Matolcsy (30 shared papers)Judit Csomor (19 shared papers)John G. Gribben (6 shared papers)Ágota Szepesi (9 shared papers)Katalin Dezső (6 shared papers)Sameena Iqbal (5 shared papers)Péter Nagy (4 shared papers)Sándor Paku (3 shared papers)
- Journals
- Pathology & Oncology Research (9 papers)Blood (6 papers)PLoS ONE (5 papers)Hematological Oncology (4 papers)British Journal of Haematology (3 papers)
- Partner nations
- HungaryUnited KingdomUnited States
In The Last Decade
Csaba Bödör
103 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Genetics 356
- Pathology and Forensic Medicine 359
- Hematology 224
- Immunology 345
- Oncology 321
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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 131 | |
| 2 | 2013 | 95 | |
| 3 | 2010 | 65 | |
| 4 | 2012 | 65 | |
| 5 | 2020 | 64 | |
| 6 | 2007 | 62 | |
| 7 | 2006 | 53 | |
| 8 | 2011 | 45 | |
| 9 | 2002 | 44 | |
| 10 | 2013 | 38 | |
| 11 | 2012 | 34 | |
| 12 | 2019 | 33 | |
| 13 | 2015 | 30 | |
| 14 | 2005 | 30 | |
| 15 | 2012 | 26 | |
| 16 | 2005 | 24 | |
| 17 | 2018 | 24 | |
| 18 | 2006 | 22 | |
| 19 | 2022 | 19 | |
| 20 | 2021 | 17 |
About Csaba Bödör
Csaba Bödör is a scholar working on Genetics, Pathology and Forensic Medicine, Molecular Biology, Hematology and Immunology, having authored 119 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (40 papers), Chronic Lymphocytic Leukemia Research (34 papers), Acute Myeloid Leukemia Research (17 papers), Cancer Genomics and Diagnostics (16 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), Chronic Myeloid Leukemia Treatments (9 papers), Viral-associated cancers and disorders (9 papers) and Immunodeficiency and Autoimmune Disorders (8 papers). The work is most often cited by research in Genetics (356 citations), Pathology and Forensic Medicine (359 citations), Hematology (224 citations), Immunology (345 citations) and Oncology (321 citations). Csaba Bödör has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include András Matolcsy, Judit Csomor, John G. Gribben, Ágota Szepesi, Katalin Dezső, Sameena Iqbal, Péter Nagy, Sándor Paku, Balázs Csernus and Botond Tímár. Their work appears in journals such as Pathology & Oncology Research, Blood, PLoS ONE, Hematological Oncology 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.