K Jurgovsky

816 citations
12 papers · 645 · h-index 10

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
  • Rheumatology top 10%
    • Urticaria and Related Conditions

Papers in

    • Retinoids in leukemia and cellular processes 3
    • Glutathione Transferases and Polymorphisms 2
    • Epigenetics and DNA Methylation 1
    • Immunotherapy and Immune Responses 5

K Jurgovsky

12 papers receiving 627 citations

Peers

K Jurgovsky
Comparison fields: 5 of 61
  • Immunology 297
  • Rheumatology 115
  • Oncology 177
  • Molecular Biology 309
  • Dermatology 37
Replace Marie-Pierre Gras with:
Marie-Pierre Gras France
Eva G. Caudell United States
Valentino Parravicini United States
Magali Herrant France
Sofia Depner Germany
André Limnander United States
Arthur T. Hoang United States
E. P. Reddy United States
Tammy P. Cheng United States
Hans Dieter Royer Germany
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Citations per field
00.5×3.4×
Marie-Pierre Gras · 1×
Citations per year

Countries citing papers authored by K Jurgovsky

Since Specialization
Citations

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

Fields of papers citing papers by K Jurgovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1999132
2 1998125
3 199690
4 199580
5 199869
6
Human melanoma cell lines selected in vitro displaying various levels of drug resistance against cisplatin, fotemustine, vindesine or etoposide: modulation of proto-oncogene expression.
199848
7 199541
8 200318
9 199516
10 199411
11 19949
12 20006

About K Jurgovsky

K Jurgovsky is a scholar working on Molecular Biology, Immunology, Genetics, Oncology and Biotechnology, having authored 12 papers that have together received 645 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Retinoids in leukemia and cellular processes (3 papers), Estrogen and related hormone effects (2 papers), Chemokine receptors and signaling (2 papers), Cancer Research and Treatments (2 papers), Virus-based gene therapy research (2 papers), Glutathione Transferases and Polymorphisms (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Immunology (297 citations), Rheumatology (115 citations), Oncology (177 citations), Molecular Biology (309 citations) and Dermatology (37 citations). K Jurgovsky has collaborated with scholars based in Germany, France and Croatia. Frequent co-authors include Dirk Schadendorf, Selma Alijagic, Metin Artuc, Beate M. Czarnetzki, Tomislav Dorbic, Peter Möller, B. Wittig, Yuansheng Sun, Michael Sticherling and Bárbara Hermes. Their work appears in journals such as Journal of Allergy and Clinical Immunology, International Journal of Oncology, Melanoma Research, Inflammation Research and Peptides.

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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