Ivan Lefkovits

3.6k citations
139 papers · 2.8k indexed · 1 hit paper · h-index 25

Ivan Lefkovits

134 papers receiving 2.4k citations

Hit Papers

Plaque Forming Cells: Methodology and Theory242197420261991200850100150200

Peers

Ivan Lefkovits
Comparison fields: 5 of 117
  • Immunology 1.5k
  • Radiology, Nuclear Medicine and Imaging 616
  • Molecular Biology 1.1k
  • Immunology and Allergy 86
  • Spectroscopy 230
Replace Paul P. Trotta with:
Paul P. Trotta United States
Roald Nezlin Israel
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Donal B. Murphy United States
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Lars Östberg Sweden
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Munehiro Nakata Japan
Verner Paetkau Canada
Mark J. Mamula United States
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Citations per field
00.5×1.5×
Paul P. Trotta · 1×
Citations per year

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-authorship network

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
#Work
1 200619
2
Cellular Autoimmune Response Against Beta2-Glycoprotein I in Anti-Phospholipid Syndrome: II. Activation of T Cells in Patients with Anti-Phospholipid Syndrome
20035
3 20032
4 200312
5 200241
6 200016
7 20006
8 199711
9
Human lymphocyte cDNA ordered library analyzed by 2D gel electrophoresis. 3. Analysis of individual clones.
19955
10 19906
11 198912
12 19872
13
Expression of antibody-forming cell clones in two-stage cultures: an attempt to separate proliferation and maturation events.
19851
14 1984181
15 198436
16
Effects of irradiation on the in vitro immune response.
198014
17 197968
18
Restriction in the function of single helper T cells.
197619
19
Limiting dilution analysis of helper T-cell function. II. An approach to the study of the function of single helper T cells.
197619
20 197616

About Ivan Lefkovits

Ivan Lefkovits is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Spectroscopy, having authored 139 papers that have together received 2.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (38 papers), Monoclonal and Polyclonal Antibodies Research (35 papers), Glycosylation and Glycoproteins Research (22 papers), Advanced Proteomics Techniques and Applications (21 papers), Immune Cell Function and Interaction (18 papers), RNA and protein synthesis mechanisms (17 papers), Immunotherapy and Immune Responses (16 papers) and Immune Response and Inflammation (11 papers). The work is most often cited by research in Immunology (1.5k citations), Radiology, Nuclear Medicine and Imaging (616 citations) and Molecular Biology (1.1k citations). Ivan Lefkovits has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Herman Waldmann, J Quintáns, John R. Kettman, J.R. Frey, Lotte Kuhn, Albert A. Nordin, N. K. Jerne, Hiroshi Fuji, Aurelia M. C. Koros and Claudia Henry. 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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