M Robert-Guroff

743 total citations
9 papers, 619 citations indexed

About

M Robert-Guroff is a scholar working on Immunology, Agronomy and Crop Science and Virology. According to data from OpenAlex, M Robert-Guroff has authored 9 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Agronomy and Crop Science and 3 papers in Virology. Recurrent topics in M Robert-Guroff's work include T-cell and Retrovirus Studies (6 papers), Animal Disease Management and Epidemiology (4 papers) and HIV Research and Treatment (3 papers). M Robert-Guroff is often cited by papers focused on T-cell and Retrovirus Studies (6 papers), Animal Disease Management and Epidemiology (4 papers) and HIV Research and Treatment (3 papers). M Robert-Guroff collaborates with scholars based in United States, Japan and Malaysia. M Robert-Guroff's co-authors include Shuzo Matsushita, Kashi Javaherian, Scott D. Putney, H. Hoshino, Toshio Hattori, J R Rusche, Atsushi Koito, Kiyoshi Takatsuki, M S Reitz and W G Robey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

In The Last Decade

M Robert-Guroff

8 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Robert-Guroff United States 7 495 282 269 120 112 9 619
E Collalti United States 6 678 1.4× 309 1.1× 412 1.5× 157 1.3× 43 0.4× 7 848
A Louie United States 9 415 0.8× 310 1.1× 185 0.7× 171 1.4× 26 0.2× 11 609
K J Weinhold United States 6 770 1.6× 400 1.4× 354 1.3× 226 1.9× 176 1.6× 8 890
Jaap Goudsmit Netherlands 10 536 1.1× 147 0.5× 361 1.3× 124 1.0× 56 0.5× 13 604
R S Liou United States 6 576 1.2× 225 0.8× 312 1.2× 196 1.6× 145 1.3× 8 673
George Dapolito United States 14 449 0.9× 203 0.7× 234 0.9× 106 0.9× 36 0.3× 15 706
Lilly I. Kong United States 10 295 0.6× 151 0.5× 216 0.8× 85 0.7× 49 0.4× 11 533
T H Lee United States 11 691 1.4× 221 0.8× 390 1.4× 221 1.8× 68 0.6× 12 823
Phil Markham United States 6 438 0.9× 243 0.9× 264 1.0× 148 1.2× 21 0.2× 8 672
Xinyao Yu United States 8 644 1.3× 169 0.6× 388 1.4× 138 1.1× 53 0.5× 14 734

Countries citing papers authored by M Robert-Guroff

Since Specialization
Citations

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

Fields of papers citing papers by M Robert-Guroff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M Robert-Guroff. 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 M Robert-Guroff. The network helps show where M Robert-Guroff may publish in the future.

Co-authorship network of co-authors of M Robert-Guroff

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

All Works

9 of 9 papers shown
1.
Gallo, Robert C., M. G. Sarngadharan, Mikuláš Popovič, et al.. (2015). HTLV-III and the Etiology of AIDS. Chemical immunology/Fortschritte der Allergielehre/Progress in allergy/Chemical immunology and allergy. 37. 1–45.
2.
Demberg, Thorsten, Ruth H. Florese, Raúl Gómez Román, et al.. (2006). Non-neutralizing antibodies and vaccine-induced protection. Retrovirology. 3(S1). 7 indexed citations
3.
Abimiku, Alash’le, P. D. Markham, W. Carl Saxinger, et al.. (1994). Subgroup G HIV Type 1 Isolates from Nigeria. AIDS Research and Human Retroviruses. 10(11). 1581–1583. 46 indexed citations
4.
Wilson, Carolyn A., M S Reitz, Kristine Aldrich, et al.. (1990). The site of an immune-selected point mutation in the transmembrane protein of human immunodeficiency virus type 1 does not constitute the neutralization epitope. Journal of Virology. 64(7). 3240–3248. 65 indexed citations
5.
Tschachler, Erwin, et al.. (1989). Human T-lymphotropic virus I-infected T cells constitutively express lymphotoxin in vitro. Blood. 73(1). 194–201. 5 indexed citations
6.
Matsushita, Shuzo, M Robert-Guroff, J R Rusche, et al.. (1988). Characterization of a human immunodeficiency virus neutralizing monoclonal antibody and mapping of the neutralizing epitope. Journal of Virology. 62(6). 2107–2114. 349 indexed citations
7.
Robert-Guroff, M, Patricia J. Giardina, W G Robey, et al.. (1987). HTLV-III neutralizing antibody development in transfusion-dependent seropositive patients with beta-thalassemia.. The Journal of Immunology. 138(11). 3731–3736. 27 indexed citations
8.
Robert-Guroff, M, M S Reitz, W G Robey, & R C Gallo. (1986). In vitro generation of an HTLV-III variant by neutralizing antibody.. The Journal of Immunology. 137(10). 3306–3309. 62 indexed citations
9.
Matsushita, Shuzo, M Robert-Guroff, Jane B. Trepel, et al.. (1986). Human monoclonal antibody directed against an envelope glycoprotein of human T-cell leukemia virus type I.. Proceedings of the National Academy of Sciences. 83(8). 2672–2676. 58 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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