E A Repasky

463 total citations
9 papers, 410 citations indexed

About

E A Repasky is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, E A Repasky has authored 9 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Physiology. Recurrent topics in E A Repasky's work include Erythrocyte Function and Pathophysiology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Diabetes and associated disorders (2 papers). E A Repasky is often cited by papers focused on Erythrocyte Function and Pathophysiology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Diabetes and associated disorders (2 papers). E A Repasky collaborates with scholars based in United States. E A Repasky's co-authors include Elias Lazarides, Bruce L. Granger, Richard B. Bankert, Carol C. Gregorio, Ralph T. Kubo, Velia M. Fowler, R. Scott Williams, Jennifer D. Black, T Umemoto and Hiroshi Kida and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Blood.

In The Last Decade

E A Repasky

9 papers receiving 385 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
E A Repasky United States	8	191	155	108	98	55	9	410
Sara Droetto Italy	11	278 1.5×	124 0.8×	131 1.2×	34 0.3×	34 0.6×	11	492
Janet Ng-Sikorski Sweden	7	174 0.9×	166 1.1×	78 0.7×	36 0.4×	32 0.6×	7	398
M Hoogerwerf Netherlands	6	143 0.7×	205 1.3×	44 0.4×	31 0.3×	95 1.7×	7	455
I T Kim South Korea	6	168 0.9×	316 2.0×	52 0.5×	152 1.6×	21 0.4×	8	461
Y P Yung United States	7	139 0.7×	318 2.1×	27 0.3×	95 1.0×	62 1.1×	11	435
Eric Lynam United States	9	231 1.2×	195 1.3×	43 0.4×	18 0.2×	55 1.0×	11	520
Isabel Pombo France	7	228 1.2×	202 1.3×	204 1.9×	117 1.2×	31 0.6×	7	409
Rachel Rennard United States	12	284 1.5×	128 0.8×	36 0.3×	78 0.8×	115 2.1×	18	512
S M Barbas United States	6	208 1.1×	142 0.9×	131 1.2×	49 0.5×	187 3.4×	7	433
Paul Andrews Australia	14	123 0.6×	243 1.6×	41 0.4×	24 0.2×	79 1.4×	19	433

Countries citing papers authored by E A Repasky

Since Specialization

Citations

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

Fields of papers citing papers by E A Repasky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E A Repasky. 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 E A Repasky. The network helps show where E A Repasky may publish in the future.

Co-authorship network of co-authors of E A Repasky

This figure shows the co-authorship network connecting the top 25 collaborators of E A Repasky. A scholar is included among the top collaborators of E A Repasky 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 E A Repasky. E A Repasky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Wetzler, Meir, et al.. (2001). HLA class I antigen cell surface expression is preserved on acute myeloid leukemia blasts at diagnosis and at relapse. Leukemia. 15(1). 128–133. 50 indexed citations

Williams, R. Scott, Masaru Kato, Maurice Barcos, et al.. (1996). Engraftment of human tumor-infiltrating lymphocytes and the production of anti-tumor antibodies in SCID mice. The Journal of Immunology. 156(5). 1908–1915. 32 indexed citations

Gregorio, Carol C., E A Repasky, Velia M. Fowler, & Jennifer D. Black. (1994). Dynamic properties of ankyrin in T lymphocytes: colocalization with spectrin and protein kinase C beta.. The Journal of Cell Biology. 125(2). 345–358. 46 indexed citations

Wang, Wenchen, et al.. (1993). Interferon-alpha alters spectrin organization in normal and leukemic human B lymphocytes. Blood. 81(3). 759–766. 10 indexed citations

Williams, R. Scott, T Umemoto, Hiroshi Kida, E A Repasky, & Richard B. Bankert. (1992). Engraftment of human peripheral blood leukocytes into severe combined immunodeficient mice results in the long term and dynamic production of human xenoreactive antibodies. The Journal of Immunology. 149(8). 2830–2836. 47 indexed citations

Gregorio, Carol C., Ralph T. Kubo, Richard B. Bankert, & E A Repasky. (1992). Translocation of spectrin and protein kinase C to a cytoplasmic aggregate upon lymphocyte activation.. Proceedings of the National Academy of Sciences. 89(11). 4947–4951. 62 indexed citations

Drake, James R., E A Repasky, & Richard B. Bankert. (1989). Endocytosis of antigen, anti-idiotype, and anti-immunoglobulin antibodies and receptor re-expression by murine B cells.. The Journal of Immunology. 143(6). 1768–1776. 27 indexed citations

Bankert, Richard B., et al.. (1987). Generation and use of an antigen-specific hybrid to study B-cell function.. PubMed. 3(5). 279–91. 3 indexed citations

Granger, Bruce L., E A Repasky, & Elias Lazarides. (1982). Synemin and vimentin are components of intermediate filaments in avian erythrocytes. The Journal of Cell Biology. 92(2). 299–312. 133 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.

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