Peter Švec
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Immunology top 10%
- Immunodeficiency and Autoimmune Disorders
- Reproductive System and Pregnancy
Papers in
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- Hematopoietic Stem Cell Transplantation 6
- Acute Myeloid Leukemia Research 1
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- Acute Lymphoblastic Leukemia research 10
- Co-authors
- András Treszl (6 shared papers)Barna Vásárhelyi (6 shared papers)Tivadar Tulassay (5 shared papers)János Jr. Rigó (1 shared paper)Gergő Mészáros (1 shared paper)Gergely Toldi (1 shared paper)Ján Sedlák (1 shared paper)Esko M Kankuri (1 shared paper)
In The Last Decade
Peter Švec
38 papers receiving 989 citations
Peter Švec's Hit Papers
Peers
Comparison fields: 5 of 45
- Hematology 196
- Immunology 175
- Public Health, Environmental and Occupational Health 183
- Obstetrics and Gynecology 50
- Genetics 19
Countries citing papers authored by Peter Švec
This map shows the geographic impact of Peter Švec'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 Švec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Švec more than expected).
Fields of papers citing papers by Peter Švec
This network shows the impact of papers produced by Peter Švec. 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 Švec. The network helps show where Peter Švec may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Švec, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Total Body Irradiation or Chemotherapy Conditioning in Childhood ALL: A Multinational, Randomized, Noninferiority Phase III Study Hit paper breakdown → | 2020 | 242 |
| 2 | 2020 | 101 | |
| 3 | 2008 | 99 | |
| 4 | 2018 | 75 | |
| 5 | 2008 | 67 | |
| 6 | 2020 | 53 | |
| 7 | 2013 | 40 | |
| 8 | 2007 | 38 | |
| 9 | 2021 | 27 | |
| 10 | 2020 | 26 | |
| 11 | 2013 | 25 | |
| 12 | 2020 | 25 | |
| 13 | 2006 | 18 | |
| 14 | 2022 | 18 | |
| 15 | 2021 | 16 | |
| 16 | 2020 | 14 | |
| 17 | 2024 | 13 | |
| 18 | 2011 | 11 | |
| 19 | 2017 | 11 | |
| 20 | 2017 | 9 |
About Peter Švec
Peter Švec is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Immunology, Pharmacology and Genetics, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (10 papers), Hematopoietic Stem Cell Transplantation (6 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Gut microbiota and health (3 papers), Pregnancy and preeclampsia studies (1 paper), Antifungal resistance and susceptibility (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Hematology (196 citations), Immunology (175 citations), Public Health, Environmental and Occupational Health (183 citations), Obstetrics and Gynecology (50 citations) and Genetics (19 citations). Peter Švec has collaborated with scholars based in Slovakia, Czechia and Germany. Frequent co-authors include András Treszl, Barna Vásárhelyi, Tivadar Tulassay, János Jr. Rigó, Gergő Mészáros, Gergely Toldi, Ján Sedlák, Esko M Kankuri, Alexandra Kolenová and Mikael Knip. Their work appears in journals such as Blood, Bone Marrow Transplantation, Haematologica, Frontiers in Pediatrics and Cancers.
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.