J E Groopman

1.3k total citations
9 papers, 1.0k citations indexed

About

J E Groopman is a scholar working on Immunology, Agronomy and Crop Science and Epidemiology. According to data from OpenAlex, J E Groopman has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Agronomy and Crop Science and 4 papers in Epidemiology. Recurrent topics in J E Groopman's work include T-cell and Retrovirus Studies (6 papers), Animal Disease Management and Epidemiology (6 papers) and HIV Research and Treatment (3 papers). J E Groopman is often cited by papers focused on T-cell and Retrovirus Studies (6 papers), Animal Disease Management and Epidemiology (6 papers) and HIV Research and Treatment (3 papers). J E Groopman collaborates with scholars based in United States. J E Groopman's co-authors include R C Gallo, M. G. Sarngadharan, A. H. Sliski, R Redfield, Randal A. Byrn, David T. Scadden, Charles A. Dinarello, Jean‐Michel Molina, Jacqueline Gillis and Scott M. Hammer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Investigation.

In The Last Decade

J E Groopman

9 papers receiving 928 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J E Groopman United States	9	484	466	364	238	182	9	1.0k
R Redfield United States	8	597 1.2×	453 1.0×	322 0.9×	222 0.9×	77 0.4×	11	924
W A Blattner United States	17	230 0.5×	534 1.1×	156 0.4×	130 0.5×	280 1.5×	26	898
SZ Salahuddin United States	7	398 0.8×	281 0.6×	260 0.7×	219 0.9×	61 0.3×	9	672
C. Gazengel France	15	294 0.6×	255 0.5×	225 0.6×	287 1.2×	88 0.5×	32	989
J S McDougal United States	11	480 1.0×	488 1.0×	255 0.7×	164 0.7×	53 0.3×	20	823
S Benn United States	7	1.1k 2.3×	587 1.3×	623 1.7×	337 1.4×	121 0.7×	7	1.4k
Anthony Hoffman United States	10	1.1k 2.4×	764 1.6×	670 1.8×	386 1.6×	263 1.4×	11	1.8k
Marie‐Christine Dazza France	19	383 0.8×	231 0.5×	355 1.0×	421 1.8×	85 0.5×	41	979
P. S. Sarin United States	15	616 1.3×	1.1k 2.4×	340 0.9×	251 1.1×	587 3.2×	38	1.8k
Marta Siegal United States	8	259 0.5×	831 1.8×	254 0.7×	511 2.1×	57 0.3×	9	1.5k

Countries citing papers authored by J E Groopman

Since Specialization

Citations

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

Fields of papers citing papers by J E Groopman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J E Groopman

This figure shows the co-authorship network connecting the top 25 collaborators of J E Groopman. A scholar is included among the top collaborators of J E Groopman 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 J E Groopman. J E Groopman 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

Molina, Jean‐Michel, David T. Scadden, Randal A. Byrn, Charles A. Dinarello, & J E Groopman. (1989). Production of tumor necrosis factor alpha and interleukin 1 beta by monocytic cells infected with human immunodeficiency virus.. Journal of Clinical Investigation. 84(3). 733–737. 147 indexed citations

McCusker, Jane, Anne M. Stoddard, Kenneth H. Mayer, D. N. Cowan, & J E Groopman. (1988). Behavioral risk factors for HIV infection among homosexual men at a Boston community health center.. American Journal of Public Health. 78(1). 68–71. 38 indexed citations

Groopman, J E, et al.. (1988). Hematologic manifestations of the human immune deficiency virus (HIV).. PubMed. 25(3). 208–18. 129 indexed citations

Hammer, Scott M., et al.. (1986). In vitro modification of human immunodeficiency virus infection by granulocyte-macrophage colony-stimulating factor and gamma interferon.. Proceedings of the National Academy of Sciences. 83(22). 8734–8738. 113 indexed citations

Dowbenko, Donald, JOHN R. BELL, Charles V. Benton, et al.. (1985). Bacterial expression of the acquired immunodeficiency syndrome retrovirus p24 gag protein and its use as a diagnostic reagent.. Proceedings of the National Academy of Sciences. 82(22). 7748–7752. 28 indexed citations

Broder, Samuel, R Redfield, J E Groopman, et al.. (1985). EFFECTS OF SURAMIN ON HTLV-III/LAV INFECTION PRESENTING AS KAPOSI'S SARCOMA OR AIDS-RELATED COMPLEX: CLINICAL PHARMACOLOGY AND SUPPRESSION OF VIRUS REPLICATION IN VIVO. The Lancet. 326(8456). 627–630. 173 indexed citations

Robert-Guroff, Marjorie, Bijan Safai, E P Gelmann, et al.. (1984). HTLV-I-SPECIFIC ANTIBODY IN AIDS PATIENTS AND OTHERS AT RISK. The Lancet. 324(8395). 128–131. 41 indexed citations

Safai, Bijan, J E Groopman, Mikuláš Popovič, et al.. (1984). SEROEPIDEMIOLOGICAL STUDIES OF HUMAN T-LYMPHOTROPIC RETROVIRUS TYPE III IN ACQUIRED IMMUNODEFICIENCY SYNDROME. The Lancet. 323(8392). 1438–1440. 190 indexed citations

Salahuddin, S. Zaki, R Redfield, Max Essex, et al.. (1984). HTLV-III IN SYMPTOM-FREE SERONEGATIVE PERSONS. The Lancet. 324(8417-8418). 1418–1420. 176 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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