B. Takács

3.2k citations
38 papers · 2.7k indexed · h-index 24

Impact in

Papers in

B. Takács

38 papers receiving 2.6k citations

Peers

B. Takács
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 728
  • Immunology 705
  • Public Health, Environmental and Occupational Health 825
  • Virology 117
  • Parasitology 153
Replace Paul M. Knopf with:
Paul M. Knopf United States
A K Robbins United States
Curtis R. Brandt United States
David Kobiler Israel
Thomas Bächi Switzerland
Ramiro Massol United States
George Banting United Kingdom
Andrew A. Peden United Kingdom
Markus U. Ehrengruber Switzerland
Evelina Gatti France
B. Takács relative to Paul M. Knopf United States Paul M. Knopf's profile →
Citations per field
00.5×3.4×
Paul M. Knopf · 1×
Citations per year

Countries citing papers authored by B. Takács

Since Specialization
Citations

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

Fields of papers citing papers by B. Takács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1995149
2 199453
3 199458
4 19932
5 199324
6 1993281
7 1992207
8 199223
9 1992183
10
Comparative evaluation of an ELISA based on recombinant polypeptides and IFA for serology of malaria.
19911
11 199083
12 199011
13 198889
14 198847
15 198821
16 1987258
17 198726
18 1985167
19 198461
20 198185

About B. Takács

B. Takács is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Virology and Public Health, Environmental and Occupational Health, having authored 38 papers that have together received 2.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Malaria Research and Control (9 papers), Glycosylation and Glycoproteins Research (8 papers), Neuroscience and Neuropharmacology Research (8 papers), Mosquito-borne diseases and control (6 papers), Receptor Mechanisms and Signaling (4 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (728 citations), Immunology (705 citations), Public Health, Environmental and Occupational Health (825 citations), Virology (117 citations) and Parasitology (153 citations). B. Takács has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include P. Häring, H. Möhler, P. Schoch, C Stähli, T. Staehelin, Francesco Sinigaglia, J. G. Richards, Juergen Hammer, Anthony Cerami and Ute Frevert. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, Parasite Immunology and Infection and Immunity.

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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