Ivan Lefkovits

3.5k citations
140 papers · 3.1k · h-index 27

Impact in

  • Immunology top 1%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immunotoxicology and immune responses
    • Advanced Proteomics Techniques and Applications

Papers in

    • T-cell and B-cell Immunology 76
    • Advanced Proteomics Techniques and Applications 35

Ivan Lefkovits

134 papers receiving 2.6k citations

Peers

Ivan Lefkovits
Comparison fields: 5 of 99
  • Immunology 1.6k
  • Spectroscopy 319
  • Virology 57
  • Radiology, Nuclear Medicine and Imaging 243
  • Hematology 115
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Countries citing papers authored by Ivan Lefkovits

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Lefkovits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Limiting Dilution Analysis of Cells in the Immune System
1979350
2 1974250
3 1984181
4 1972143
5 1979137
6 1973112
7 199779
8 197971
9 197757
10
Limiting dilution analysis of helper T-cell function.
197548
11 199848
12
In vitro evaluation of radiation-induced augmentation of the immune response.
197946
13 200246
14 201145
15 197542
16
Immunology Methods Manual: The Comprehensive Sourcebook of Techniques
199741
17 197839
18 198439
19 198535
20 200935

About Ivan Lefkovits

Ivan Lefkovits is a scholar working on Immunology, Spectroscopy, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 140 papers that have together received 3.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (76 papers), Advanced Proteomics Techniques and Applications (35 papers), Genomics and Phylogenetic Studies (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Gene expression and cancer classification (4 papers), RNA and protein synthesis mechanisms (4 papers), Molecular Biology Techniques and Applications (4 papers) and Effects of Radiation Exposure (4 papers). The work is most often cited by research in Immunology (1.6k citations), Spectroscopy (319 citations), Virology (57 citations), Radiology, Nuclear Medicine and Imaging (243 citations) and Hematology (115 citations). Ivan Lefkovits has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Herman Waldmann, José Quintáns, John R. Kettman, Johann Rudolf Frey, Lotte Kuhn, Aurelia M. C. Koros, Claudia Henry, Niels Kaj Jerne, Hiroshi Fuji and Albert A. Nordin. Their work appears in journals such as European Journal of Immunology, Electrophoresis, The Journal of Immunology, Molecular 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.

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