Laszlo Radvanyi

12.5k total citations · 2 hit papers
113 papers, 6.4k citations indexed

About

Laszlo Radvanyi is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Laszlo Radvanyi has authored 113 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Immunology, 72 papers in Oncology and 29 papers in Molecular Biology. Recurrent topics in Laszlo Radvanyi's work include Immunotherapy and Immune Responses (57 papers), CAR-T cell therapy research (43 papers) and Immune Cell Function and Interaction (38 papers). Laszlo Radvanyi is often cited by papers focused on Immunotherapy and Immune Responses (57 papers), CAR-T cell therapy research (43 papers) and Immune Cell Function and Interaction (38 papers). Laszlo Radvanyi collaborates with scholars based in United States, Canada and Australia. Laszlo Radvanyi's co-authors include Patrick Hwu, Geok Choo Sim, Gordon B. Mills, R. G. Miller, Gregory Lizée, Chantale Bernatchez, Willem W. Overwijk, Patrick Hwu, Yufang Shi and Luis M. Vence and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Laszlo Radvanyi

111 papers receiving 6.3k citations

Hit Papers

PD-L1 expression and prognostic impact in glioblastoma 2015 2026 2018 2022 2015 2018 100 200 300 400

Peers

Laszlo Radvanyi
Comparison fields: 5 of 125
  • Oncology 3.5k
  • Immunology 3.4k
  • Molecular Biology 2.1k
  • Cancer Research 601
  • Pulmonary and Respiratory Medicine 556
Replace Jennifer D. Wu with:
Jennifer D. Wu United States
Didier Colau Belgium
Andreas Lundqvist Sweden
Per thor Straten Denmark
Terri McClanahan United States
William G. Kerr United States
Adit Ben‐Baruch Israel
Wojciech Swat United States
Juan Carlos Zúñiga‐Pflücker Canada
Thomas Tüting Germany
Jennifer D. Wu United States View profile →
Citations per field, relative to Laszlo Radvanyi
Laszlo Radvanyi · 1×
Citations per year, relative to Laszlo Radvanyi
Laszlo Radvanyi · 1×

Countries citing papers authored by Laszlo Radvanyi

Since Specialization
Citations

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

Fields of papers citing papers by Laszlo Radvanyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laszlo Radvanyi

This figure shows the co-authorship network connecting the top 25 collaborators of Laszlo Radvanyi. A scholar is included among the top collaborators of Laszlo Radvanyi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laszlo Radvanyi. Laszlo Radvanyi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 30
4
Enhanced preclinical antitumor activity of M7824, a bifunctional fusion protein simultaneously targeting PD-L1 and TGF-β breakdown →
405
5 54
6 49
7 58
8 98
9 36
10 124
11 82
12 48
13 19
14 340
15 15
16 82
17 1
18 109
19 161
20 19

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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2026