Robert M. Grant

79.4k total citations · 12 hit papers
478 papers, 45.8k citations indexed

About

Robert M. Grant is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Robert M. Grant has authored 478 papers receiving a total of 45.8k indexed citations (citations by other indexed papers that have themselves been cited), including 186 papers in Infectious Diseases, 130 papers in Virology and 91 papers in Epidemiology. Recurrent topics in Robert M. Grant's work include HIV/AIDS Research and Interventions (175 papers), HIV Research and Treatment (130 papers) and HIV/AIDS drug development and treatment (93 papers). Robert M. Grant is often cited by papers focused on HIV/AIDS Research and Interventions (175 papers), HIV Research and Treatment (130 papers) and HIV/AIDS drug development and treatment (93 papers). Robert M. Grant collaborates with scholars based in United States, United Kingdom and Peru. Robert M. Grant's co-authors include Charles Baden‐Fuller, J.‐C. Spender, Steven G. Deeks, Jason D. Barbour, Albert Liu, Azar P. Jammine, David V. Glidden, Vanessa McMahan, Susan Buchbinder and Christos J. Petropoulos and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Robert M. Grant

420 papers receiving 40.9k citations

Hit Papers

Toward a knowledge‐based theory of the firm 1988 2026 2000 2013 1996 1991 1996 1998 2003 2.5k 5.0k 7.5k 10.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert M. Grant United States 82 20.4k 12.0k 7.2k 6.5k 5.1k 478 45.8k
D. O’Brien Australia 42 5.0k 0.2× 1.8k 0.2× 511 0.1× 1.8k 0.3× 1.3k 0.3× 236 14.7k
Martin Fishbein United States 75 3.7k 0.2× 3.4k 0.3× 122 0.0× 3.5k 0.5× 31.1k 6.1× 196 85.3k
Barney G. Glaser United States 41 6.2k 0.3× 1.2k 0.1× 63 0.0× 2.4k 0.4× 24.4k 4.8× 90 85.7k
Anselm Strauss United States 43 5.5k 0.3× 1.2k 0.1× 59 0.0× 2.4k 0.4× 22.7k 4.4× 93 81.4k
Jeffrey D. Sachs United States 78 2.6k 0.1× 1.5k 0.1× 180 0.0× 983 0.2× 5.5k 1.1× 431 38.8k
Erving Goffman United States 59 1.4k 0.1× 1.2k 0.1× 56 0.0× 1.5k 0.2× 29.8k 5.8× 103 68.8k
Yvonna S. Lincoln United States 47 4.1k 0.2× 823 0.1× 19 0.0× 1.9k 0.3× 25.3k 5.0× 161 85.3k
Robert J. Fisher United States 62 1.3k 0.1× 466 0.0× 865 0.1× 340 0.1× 2.1k 0.4× 301 13.2k
Yichuan Wang United Kingdom 46 1.2k 0.1× 351 0.0× 843 0.1× 366 0.1× 2.8k 0.5× 180 8.9k
Thomas W. Valente United States 58 1.6k 0.1× 933 0.1× 32 0.0× 2.0k 0.3× 6.4k 1.3× 232 25.0k

Countries citing papers authored by Robert M. Grant

Since Specialization
Citations

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

Fields of papers citing papers by Robert M. Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert M. Grant

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

All Works

20 of 20 papers shown
1.
Koss, Catherine A., Peter Bacchetti, Sharon L. Hillier, et al.. (2017). Differences in Cumulative Exposure and Adherence to Tenofovir in the VOICE, iPrEx OLE, and PrEP Demo Studies as Determined via Hair Concentrations. AIDS Research and Human Retroviruses. 33(8). 778–783. 50 indexed citations
2.
Gandhi, Monica, David V. Glidden, Kenneth H. Mayer, et al.. (2016). Association of age, baseline kidney function, and medication exposure with declines in creatinine clearance on pre-exposure prophylaxis: an observational cohort study. The Lancet HIV. 3(11). e521–e528. 60 indexed citations
3.
Kuebler, Peter, Brian I. Shaw, Megha Mehrotra, et al.. (2015). Brief Report. JAIDS Journal of Acquired Immune Deficiency Syndromes. 72(2). 184–188. 1 indexed citations
4.
Amico, K. Rivet, Kenneth H. Mayer, Albert Liu, et al.. (2014). Integrated Next Step Counseling for Sexual Health Promotion and Medication Adherence for Individuals Using Pre-exposure Prophylaxis. AIDS Research and Human Retroviruses. 30(S1). A159–A159. 6 indexed citations
5.
Truong, Hong‐Ha M., Timothy A. Kellogg, Willi McFarland, et al.. (2011). Sentinel Surveillance of HIV-1 Transmitted Drug Resistance, Acute Infection and Recent Infection. PLoS ONE. 6(10). e25281–e25281. 33 indexed citations
6.
Abrams, Donald I., Starley B. Shade, Paul Couey, et al.. (2007). Dehydroepiandrosterone (DHEA) Effects on HIV Replication and Host Immunity: A Randomized Placebo-Controlled Study. AIDS Research and Human Retroviruses. 23(1). 77–85. 17 indexed citations
7.
Lama, Javier R., Jorge Sánchez, Luis Suárez, et al.. (2006). Linking HIV and Antiretroviral Drug Resistance Surveillance in Peru. JAIDS Journal of Acquired Immune Deficiency Syndromes. 42(4). 501–505. 43 indexed citations
8.
Grant, Robert M.. (2005). Cases to accompany Contemporary strategy analysis, fifth edition. Blackwell eBooks. 1 indexed citations
9.
Baden‐Fuller, Charles & Robert M. Grant. (2004). A Knowledge Accessing Theory of Strategic Alliances. EUR Research Repository (Erasmus University Rotterdam). 94 indexed citations
10.
Penn, Michael L., Teri Liegler, Fabrizio Mammano, et al.. (2001). Primary and Recombinant HIV Type 1 Strains Resistant to Protease Inhibitors Are Pathogenic in Mature Human Lymphoid Tissues. AIDS Research and Human Retroviruses. 17(6). 517–523. 16 indexed citations
11.
Grant, Robert M.. (2000). The RMA – Europe Can Keep in Step. Occasional paper. 1 indexed citations
12.
Grant, Robert M., Martin E. Marty, Mark Edwards, et al.. (1986). CHH volume 55 issue 4 Cover and Front matter. Church History. 55(4). f1–f7. 1 indexed citations
13.
Grant, Robert M., Martin E. Marty, Robert T. Handy, et al.. (1986). CHH volume 55 issue 1 Cover and Front matter. Church History. 55(1). f1–f8. 1 indexed citations
14.
Grant, Robert M.. (1986). Forms and occasions of the Greek Apologists. 52(2). 213–226. 3 indexed citations
15.
Grant, Robert M., Martin E. Marty, Robert T. Handy, et al.. (1985). CHH volume 54 issue 4 Cover and Front matter. Church History. 54(4). f1–f7. 1 indexed citations
17.
Grant, Robert M., Martin E. Marty, Henry Warner Bowden, et al.. (1982). CHH volume 51 issue 3 Cover and Front matter. Church History. 51(3). f1–f7. 1 indexed citations
18.
Grant, Robert M., Martin E. Marty, Robert T. Handy, et al.. (1979). CHH volume 48 issue 2 Cover and Front matter. Church History. 48(2). f1–f7. 1 indexed citations
19.
Grant, Robert M., Martin E. Marty, Robert T. Handy, et al.. (1975). CHH volume 44 issue 1 Cover and Front matter. Church History. 44(1). f1–f6. 1 indexed citations
20.
Grant, Robert M., et al.. (1965). First and Second Clement. 1 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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