Péter Krajcsi

4.0k citations
91 papers · 3.3k · h-index 32

Impact in

  • Oncology top 1%
    • Drug Transport and Resistance Mechanisms
    • CAR-T cell therapy research
    • Pharmacogenetics and Drug Metabolism

Papers in

    • Drug Transport and Resistance Mechanisms 57
    • Viral Infectious Diseases and Gene Expression in Insects 8
    • RNA Interference and Gene Delivery 4

Péter Krajcsi

89 papers receiving 3.2k citations

Peers

Péter Krajcsi
Comparison fields: 5 of 118
  • Oncology 1.6k
  • Pharmacology 372
  • Pediatrics, Perinatology and Child Health 503
  • Genetics 682
  • Infectious Diseases 341
Replace Mitchell Hull with:
Mitchell Hull United States
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Gwenaëlle Conseil Canada
Ursula A. Germann United States
Hannelore Daniel Germany
Éva Bakos Hungary
Saibal Dey United States
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Péter Krajcsi relative to Mitchell Hull United States Mitchell Hull's profile →
Citations per field
00.5×3.2×
Mitchell Hull · 1×
Citations per year

Countries citing papers authored by Péter Krajcsi

Since Specialization
Citations

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

Fields of papers citing papers by Péter Krajcsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004446
2 2010118
3 2003102
4 2007101
5 200197
6 200591
7 200790
8 199684
9 200281
10 200980
11 200768
12 200868
13 199765
14 201961
15 200858
16 200858
17 201458
18 201556
19 200756
20 199053

About Péter Krajcsi

Péter Krajcsi is a scholar working on Oncology, Molecular Biology, Pediatrics, Perinatology and Child Health, Genetics and Surgery, having authored 91 papers that have together received 3.3k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (57 papers), Pharmacological Effects and Toxicity Studies (26 papers), Virus-based gene therapy research (16 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers), HIV/AIDS drug development and treatment (7 papers), Cholesterol and Lipid Metabolism (6 papers), Trace Elements in Health (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Oncology (1.6k citations), Pharmacology (372 citations), Pediatrics, Perinatology and Child Health (503 citations), Genetics (682 citations) and Infectious Diseases (341 citations). Péter Krajcsi has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Hristos Glavinas, William S.M. Wold, Judit Cserepes, Balázs Sarkadi, Ann E. Tollefson, Krisztina Herédi‐Szabó, Márton Jani, Emese Kis, Franciska Erdő and Tünde Nagy. Their work appears in journals such as Journal of Virology, Virology, Drug Metabolism and Disposition, SLAS DISCOVERY and Expert Opinion on Drug Metabolism & Toxicology.

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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