Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
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).
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 of co-authors of Ivan Lefkovits
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Lefkovits.
A scholar is included among the top collaborators of Ivan Lefkovits 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 Ivan Lefkovits. Ivan Lefkovits is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Matt, Peter, Thierry Carrel, Melanie Y. White, Ivan Lefkovits, & Jennifer E. Van Eyk. (2006). Proteomics in cardiovascular surgery. Journal of Thoracic and Cardiovascular Surgery. 133(1). 210–214.e1.19 indexed citations
3.
Kyurkchiev, Dobroslav, et al.. (2003). Cellular Autoimmune Response Against Beta2-Glycoprotein I in Anti-Phospholipid Syndrome: II. Activation of T Cells in Patients with Anti-Phospholipid Syndrome. Comptes Rendus De L Academie Bulgare Des Sciences. 56(3). 75–80.5 indexed citations
Béhar, Ghislaine, C. Coleclough, Rémi Houlgatte, Charles Auffray, & Ivan Lefkovits. (1995). Human lymphocyte cDNA ordered library analyzed by 2D gel electrophoresis. 3. Analysis of individual clones.. PubMed. 5(2). 99–105.5 indexed citations
Kettman, J. R., et al.. (1990). Polyoma-induced thymic epithelial tumors: analysis by 2D gel electrophoresis of tumors upon labeling the entire tumor bearing host.. PubMed. 15(3). 167–79.5 indexed citations
Luzzati, Alma L., Elena Giacomini, & Ivan Lefkovits. (1985). Expression of antibody-forming cell clones in two-stage cultures: an attempt to separate proliferation and maturation events.. PubMed Central. 56(4). 597–603.1 indexed citations
Anderson, Robert E. & Ivan Lefkovits. (1980). Effects of irradiation on the in vitro immune response.. PubMed. 48(4). 255–78.14 indexed citations
16.
Waldmann, Herman, Ivan Lefkovits, & A. Feinstein. (1976). Restriction in the function of single helper T cells.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 31(3). 353–62.19 indexed citations
Waldmann, Herman, Heather Pope, & Ivan Lefkovits. (1976). Limiting dilution analysis of helper T-cell function. II. An approach to the study of the function of single helper T cells.. The Mouseion at the JAXlibrary (Jackson Laboratory). 31(3). 343–52.19 indexed citations
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.