Lóránd Kis

2.2k citations
36 papers · 1.3k · h-index 19

Impact in

Papers in

Lóránd Kis

36 papers receiving 1.3k citations

Peers

Lóránd Kis
Comparison fields: 5 of 90
  • Oncology 621
  • Pathology and Forensic Medicine 321
  • Immunology 358
  • Pharmaceutical Science 79
  • Cancer Research 119
Replace Friederike Egberts with:
Friederike Egberts Germany
Meg R. Gerstenblith United States
Jeffrey C. Hanson United States
An Na Seo South Korea
Paola Ghiorzo Italy
Oliver Bechter Belgium
Scott L. Kominsky United States
Thomas Jouary France
Peter Kaskel Germany
Kunihiko Takeyama United States
Lóránd Kis relative to Friederike Egberts Germany Friederike Egberts's profile →
Citations per field
00.5×4.2×
Friederike Egberts · 1×
Citations per year

Countries citing papers authored by Lóránd Kis

Since Specialization
Citations

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

Fields of papers citing papers by Lóránd Kis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016138
2 2003135
3 2007123
4 200893
5 200471
6 201065
7 200565
8 200565
9 200961
10 201547
11 200645
12 201143
13 200942
14 200537
15 201431
16 200228
17 201925
18 200321
19 200418
20 201216

About Lóránd Kis

Lóránd Kis is a scholar working on Oncology, Pathology and Forensic Medicine, Immunology, Genetics and Epidemiology, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (16 papers), Lymphoma Diagnosis and Treatment (10 papers), Immune Cell Function and Interaction (9 papers), Parvovirus B19 Infection Studies (5 papers), Estrogen and related hormone effects (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Oncology (621 citations), Pathology and Forensic Medicine (321 citations), Immunology (358 citations), Pharmaceutical Science (79 citations) and Cancer Research (119 citations). Lóránd Kis has collaborated with scholars based in Sweden, Japan and Hungary. Frequent co-authors include George Klein, Noémi Nagy, Eva Klein, E. Klein, Jan-Ακε Gustafsson, Margaret Warner, Miki Takahara, Johan Hartman, Dániel Salamon and Jonas Bergh. Their work appears in journals such as International Journal of Cancer, Proceedings of the National Academy of Sciences, Blood, Oncogene and Journal of Virology.

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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