László Takács

1.4k citations
59 papers · 1.2k indexed · h-index 21

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • Cell Adhesion Molecules Research

Papers in

László Takács

54 papers receiving 1.1k citations

Peers

László Takács
Comparison fields: 5 of 108
  • Immunology 495
  • Immunology and Allergy 110
  • Molecular Biology 496
  • Radiology, Nuclear Medicine and Imaging 164
  • Cell Biology 104
Replace Akihiro Konno with:
Akihiro Konno Japan
Tetsuya Gatanaga United States
G. I. Schoefl Australia
Hans-Joachim Schoenfeld Switzerland
Frances Weis‐Garcia United States
Leona P. Whichard United States
T. Wilson United States
Tim VandenBos United States
Dominique Piatier‐Tonneau France
Jana L. Jackson United States
László Takács relative to Akihiro Konno Japan Akihiro Konno's profile →
Citations per field
00.5×2.6×
Akihiro Konno · 1×
Citations per year

Countries citing papers authored by László Takács

Since Specialization
Citations

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

Fields of papers citing papers by László Takács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20230
3 20232
4 20163
5 201522
6 20141
7 20135
8 201146
9 201134
10 201024
11 200920
12 200717
13 200211
14 2000110
15 199611
16 19931
17 19926
18 19913
19 199025
20 198814

About László Takács

László Takács is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Oncology, Cell Biology and Spectroscopy, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (22 papers), Glycosylation and Glycoproteins Research (10 papers), Advanced Proteomics Techniques and Applications (6 papers), T-cell and B-cell Immunology (5 papers), Peptidase Inhibition and Analysis (4 papers), Myasthenia Gravis and Thymoma (4 papers), Immune Response and Inflammation (4 papers) and Protein purification and stability (3 papers). The work is most often cited by research in Immunology (495 citations), Immunology and Allergy (110 citations), Molecular Biology (496 citations), Radiology, Nuclear Medicine and Imaging (164 citations) and Cell Biology (104 citations). László Takács has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Scott K. Durum, Tibor Diamantstein, D. G. Palmer, Nancy Hogg, Catherine A. Allen, Howard A. Young, Janet M. Allen, Mark Gosink, Alirio J. Melendez and Éva Kovács. Their work appears in journals such as The Journal of Immunology, Electrophoresis, Gene, European Journal of Immunology and Journal of Proteome Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026