László Kereskai

1.5k citations
73 papers · 1.2k indexed · h-index 17

László Kereskai

66 papers receiving 1.2k citations

Peers

László Kereskai
Comparison fields: 5 of 105
  • Sensory Systems 308
  • Cellular and Molecular Neuroscience 290
  • Physiology 300
  • Complementary and alternative medicine 63
  • Endocrine and Autonomic Systems 49
Replace Hiroyasu Sakai with:
Hiroyasu Sakai Japan
Erik Lindström Sweden
Akiko Ogawa Japan
Cuicui Liu China
Dane D. Jensen United States
Ferda Cevikbas United States
Véronique Freund‐Michel France
Fiore Cattaruzza United States
Kevin S. Thorneloe United States
Shenglan Wang China
László Kereskai relative to Hiroyasu Sakai Japan Hiroyasu Sakai's profile →
Citations per field
00.5×1.5×2.2×
Hiroyasu Sakai · 1×
Citations per year

Countries citing papers authored by László Kereskai

Since Specialization
Citations

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

Fields of papers citing papers by László Kereskai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20158
3 201412
4 201448
5 2014114
6 20149
7 201324
8 201211
9 20116
10 20114
11 201110
12 200912
13 20074
14 200764
15 20072
16 200612
17 2004152
18 20024
19 200210
20 20003

About László Kereskai

László Kereskai is a scholar working on Hematology, Sensory Systems, Genetics, Cellular and Molecular Neuroscience and Rheumatology, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (12 papers), Neuropeptides and Animal Physiology (11 papers), Chronic Lymphocytic Leukemia Research (10 papers), Asthma and respiratory diseases (9 papers), Acute Myeloid Leukemia Research (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Ion Channels and Receptors (5 papers) and Acute Lymphoblastic Leukemia research (5 papers). The work is most often cited by research in Sensory Systems (308 citations), Cellular and Molecular Neuroscience (290 citations), Physiology (300 citations), Complementary and alternative medicine (63 citations) and Endocrine and Autonomic Systems (49 citations). László Kereskai has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Zsuzsanna Helyes, Erika Pintér, Janós Szolcsányi, Katalin Sándor, József Németh, Krisztián Elekes, Árpád Szabó, Ágnes Bánvölgyi, Gábor Pozsgai and Ágnes Kemény. Their work appears in journals such as Journal of Thermal Analysis and Calorimetry, Blood Reviews, Pathology & Oncology Research, Thermochimica Acta and Molecules.

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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