Botond Tímár

733 citations
43 papers · 552 · h-index 13

Impact in

Papers in

Botond Tímár

38 papers receiving 544 citations

Peers

Botond Tímár
Comparison fields: 5 of 53
  • Genetics 204
  • Pathology and Forensic Medicine 271
  • Hematology 94
  • Dermatology 55
  • Oncology 156
Replace Ruben A. L. de Groen with:
Ruben A. L. de Groen Netherlands
Leonhard Muellauer Austria
Iwona Wlodarska Belgium
George Kanellis Greece
Stacey Anastasia Kalambakas United States
Dominique Penther France
Carmen P. Montano‐Almendras Belgium
A. Lopez-Guillermo Spain
Vincenzo Ludovico Fraticelli Italy
Matthew McKinney United States
Botond Tímár relative to Ruben A. L. de Groen Netherlands Ruben A. L. de Groen's profile →
Citations per field
00.5×2×2.9×
Ruben A. L. de Groen · 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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201399
2 201065
3 200345
4 200342
5 200040
6 201833
7 201530
8 201224
9 200419
10 201818
11 200817
12 200814
13 200913
14 202010
15 202310
16 20169
17 20216
18 20246
19 20235
20 20165

About Botond Tímár

Botond Tímár is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Dermatology and Oncology, having authored 43 papers that have together received 552 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (19 papers), Chronic Lymphocytic Leukemia Research (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Acute Myeloid Leukemia Research (7 papers), Acute Lymphoblastic Leukemia research (4 papers), Cutaneous lymphoproliferative disorders research (4 papers), Viral-associated cancers and disorders (4 papers) and Multiple Myeloma Research and Treatments (4 papers). The work is most often cited by research in Genetics (204 citations), Pathology and Forensic Medicine (271 citations), Hematology (94 citations), Dermatology (55 citations) and Oncology (156 citations). Botond Tímár has collaborated with scholars based in Hungary, Philippines and United States. Frequent co-authors include András Matolcsy, Balázs Csernus, Zsolt Zoltán Fülöp, Ágota Szepesi, Csaba Bödör, Anna Réka Sebestyén, Judit Csomor, Gábor Barna, István Peták and Zsolt Csende. Their work appears in journals such as Pathology & Oncology Research, Leukemia, Modern Pathology, Blood 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.

Explore authors with similar magnitude of impact