Botond Tímár
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
-
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 10
- Chronic Lymphocytic Leukemia Research 6
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
-
- Lymphoma Diagnosis and Treatment 12
- Co-authors
- András Matolcsy (12 shared papers)Balázs Csernus (5 shared papers)Ágota Szepesi (8 shared papers)Zsolt Zoltán Fülöp (3 shared papers)Csaba Bödör (14 shared papers)Anna Réka Sebestyén (2 shared papers)Judit Csomor (9 shared papers)Gábor Barna (4 shared papers)
In The Last Decade
Botond Tímár
38 papers receiving 544 citations
Peers
Comparison fields: 5 of 27
- Genetics 116
- Pathology and Forensic Medicine 176
- Hematology 57
- Dermatology 31
- Cancer Research 9
Countries citing papers authored by Botond Tímár
This map shows the geographic impact of Botond Tímár'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 Botond Tímár with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Botond Tímár more than expected).
Fields of papers citing papers by Botond Tímár
This network shows the impact of papers produced by Botond Tímár. 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 Botond Tímár. The network helps show where Botond Tímár may publish in the future.
Co-authors
The 25 scholars most cited alongside Botond Tímár, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 99 | |
| 2 | 2010 | 66 | |
| 3 | 2003 | 45 | |
| 4 | 2003 | 42 | |
| 5 | 2000 | 40 | |
| 6 | 2018 | 33 | |
| 7 | 2015 | 30 | |
| 8 | 2012 | 24 | |
| 9 | 2004 | 19 | |
| 10 | 2018 | 18 | |
| 11 | 2008 | 17 | |
| 12 | 2008 | 14 | |
| 13 | 2009 | 13 | |
| 14 | 2020 | 10 | |
| 15 | 2023 | 10 | |
| 16 | 2016 | 9 | |
| 17 | 2021 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2016 | 5 | |
| 20 | 2018 | 5 |
About Botond Tímár
Botond Tímár is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Dermatology and Public Health, Environmental and Occupational Health, having authored 43 papers that have together received 554 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (12 papers), Chronic Lymphocytic Leukemia Research (6 papers), Acute Myeloid Leukemia Research (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Multiple Myeloma Research and Treatments (3 papers), Cutaneous lymphoproliferative disorders research (2 papers) and Pituitary Gland Disorders and Treatments (1 paper). The work is most often cited by research in Genetics (116 citations), Pathology and Forensic Medicine (176 citations), Hematology (57 citations), Dermatology (31 citations) and Cancer Research (9 citations). Botond Tímár has collaborated with scholars based in Hungary, Türkiye and Austria. Frequent co-authors include András Matolcsy, Balázs Csernus, Ágota Szepesi, Zsolt Zoltán Fülöp, Csaba Bödör, Anna Réka Sebestyén, Judit Csomor, Gábor Barna, Roger A. Warnke and István Peták. Their work appears in journals such as Pathology & Oncology Research, Leukemia, Blood, Hematological Oncology and Pathology.
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.