László Krenács

76 papers receiving 2.2k citations

Peers

László Krenács
Comparison fields: 5 of 106
  • Pathology and Forensic Medicine 1.1k
  • Dermatology 363
  • Immunology 734
  • Oncology 722
  • Genetics 279
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Milena Piccioli Italy
Simonetta Poggi Italy
Takashi Koshikawa Japan
Michael Dictor Sweden
Marianne Tinguely Switzerland
Lydia Visser Netherlands
Meora Feinmesser Israel
Carmen Bellas Spain
I. Peter Shintaku United States
Mayuka Horikawa United States
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Citations per field
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Citations per year

Countries citing papers authored by László Krenács

Since Specialization
Citations

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

Fields of papers citing papers by László Krenács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996221
2 2009194
3 1997145
4 1998118
5
Extranodal peripheral T-cell and NK-cell neoplasms.
1999115
6 1999101
7 199998
8 200987
9 200385
10 199380
11
Cytotoxic granular protein expression, Epstein-Barr virus strain type, and latent membrane protein-1 oncogene deletions in nasal T-lymphocyte/natural killer cell lymphomas from Mexico.
199872
12 200966
13 200959
14 199255
15 199852
16
Localization of the cell proliferation and apoptosis-associated CAS protein in lymphoid neoplasms.
199746
17 200143
18 199638
19 200736
20 201435

About László Krenács

László Krenács is a scholar working on Pathology and Forensic Medicine, Oncology, Immunology, Molecular Biology and Genetics, having authored 81 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (33 papers), Chronic Lymphocytic Leukemia Research (12 papers), Viral-associated cancers and disorders (11 papers), Cutaneous lymphoproliferative disorders research (9 papers), CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (6 papers), CNS Lymphoma Diagnosis and Treatment (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.1k citations), Dermatology (363 citations), Immunology (734 citations), Oncology (722 citations) and Genetics (279 citations). László Krenács has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Mark Raffeld, Elaine S. Jaffe, Enikő Bagdi, Tibor Krenács, Axel Wellmann, Lynn Sorbara, Andreas Himmelmann, Douglas W. Kingma, Shimareet Kumar and Éva Stelkovics. Their work appears in journals such as Pathology & Oncology Research, Blood, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, British Journal of Dermatology and Applied immunohistochemistry & molecular morphology.

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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