Peter Rohoň

464 citations
32 papers · 284 · h-index 9

Impact in

  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Myeloid Leukemia Treatments 16
    • Acute Myeloid Leukemia Research 8
    • Hematopoietic Stem Cell Transplantation 5
    • Chronic Lymphocytic Leukemia Research 12

Peter Rohoň

30 papers receiving 280 citations

Peers

Peter Rohoň
Comparison fields: 5 of 40
  • Hematology 203
  • Genetics 132
  • Rheumatology 59
  • Immunology 61
  • Oncology 58
Replace Anna Lübking with:
Anna Lübking Sweden
Yasuji Kouzai Japan
Shady Adnan Awad Finland
Mridul Agrawal United States
Raimondo Ferrara Italy
Thomas Pagliardini France
Ryan J. Stubbins Canada
Mary Alikian United Kingdom
Maho Ishikawa Japan
Perttu Koskenvesa Finland
Peter Rohoň relative to Anna Lübking Sweden Anna Lübking's profile →
Citations per field
00.5×2.9×
Anna Lübking · 1×
Citations per year

Countries citing papers authored by Peter Rohoň

Since Specialization
Citations

This map shows the geographic impact of Peter Rohoň'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 Peter Rohoň with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Rohoň more than expected).

Fields of papers citing papers by Peter Rohoň

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Rohoň. 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 Peter Rohoň. The network helps show where Peter Rohoň may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Rohoň, 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 Peter Rohoň Line = papers co-authored together Peter Rohoň links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201071
2 201135
3 201427
4 201020
5 201616
6 201214
7 201311
8 200810
9 20109
10 20117
11 20206
12 20196
13 20125
14 20074
15 20234
16 20104
17 20114
18 20144
19 20084
20 20154

About Peter Rohoň

Peter Rohoň is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Rheumatology and Molecular Biology, having authored 32 papers that have together received 284 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (16 papers), Chronic Lymphocytic Leukemia Research (12 papers), Acute Myeloid Leukemia Research (8 papers), Lymphoma Diagnosis and Treatment (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Eosinophilic Disorders and Syndromes (5 papers), Acute Lymphoblastic Leukemia research (3 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Hematology (203 citations), Genetics (132 citations), Rheumatology (59 citations), Immunology (61 citations) and Oncology (58 citations). Peter Rohoň has collaborated with scholars based in Czechia, Finland and Slovakia. Frequent co-authors include Kimmo Porkka, Satu Mustjoki, Karel Indrák, Edgar Faber, Anna Kreutzman, Jukka Vakkila, Marie Jarošová, Tomáš Szotkowski, Marjatta Sinisalo and Veli Kairisto. Their work appears in journals such as Blood, PLoS ONE, International Journal of Hematology, European Journal Of Haematology and Journal of Interferon & Cytokine Research.

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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