Botond Tímár

687 citations
34 papers · 355 · h-index 11

Impact in

Papers in

Botond Tímár

28 papers receiving 352 citations

Peers

Botond Tímár
Comparison fields: 5 of 48
  • Genetics 156
  • Pathology and Forensic Medicine 176
  • Hematology 68
  • Dermatology 37
  • Oncology 114
Replace Iwona Wlodarska with:
Iwona Wlodarska Belgium
Yuqin Song China
Eisuke Shiozawa Japan
Junji Hiraga Japan
Pascaline Etancelin France
Olivier Catalani Switzerland
Eugene Zhu United States
Keiichiro Hattori Japan
Rishu Agarwal Australia
Fontanet Bijou France
Botond Tímár relative to Iwona Wlodarska Belgium Iwona Wlodarska's profile →
Citations per field
00.5×3.9×
Iwona Wlodarska · 1×
Citations per year

Countries citing papers authored by Botond Tímár

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Botond Tímár Line = papers co-authored together Botond Tímár links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201062
2 200341
3 200037
4 200333
5 201530
6 201828
7 201224
8 200418
9 200816
10 200912
11 200811
12 20207
13 20185
14 20215
15 20164
16 20223
17 20223
18 20232
19 20252
20
[Novel method in diagnosis of chronic myeloproliferative disorders--detection of JAK2 mutation].
20062

About Botond Tímár

Botond Tímár is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Molecular Biology and Oncology, having authored 34 papers that have together received 355 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 papers), Chronic Lymphocytic Leukemia Research (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), Acute Myeloid Leukemia Research (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), Cutaneous lymphoproliferative disorders research (4 papers), Multiple Myeloma Research and Treatments (4 papers) and Viral-associated cancers and disorders (3 papers). The work is most often cited by research in Genetics (156 citations), Pathology and Forensic Medicine (176 citations), Hematology (68 citations), Dermatology (37 citations) and Oncology (114 citations). Botond Tímár has collaborated with scholars based in Hungary, United States and Sweden. Frequent co-authors include András Matolcsy, Balázs Csernus, Ágota Szepesi, Zsolt Zoltán Fülöp, Csaba Bödör, Anna Sebestyén, Judit Csomor, Rudolf Mihalik, Terézia László and Gábor Barna. 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.

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