Michael S. McGrath

150 papers receiving 7.0k citations

Michael S. McGrath's Hit Papers

Immune activation set point during early HIV infection predicts subsequent CD4+ T-cell changes independent of viral load 2004 · 605 citations
6050+10+20Years since publication250500750

Peers

Michael S. McGrath
Comparison fields: 5 of 147
  • Virology 2.6k
  • Immunology 2.2k
  • Infectious Diseases 1.7k
  • Biological Psychiatry 206
  • Neurology 649
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Citations per year

Countries citing papers authored by Michael S. McGrath

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. McGrath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. McGrath. 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 Michael S. McGrath. The network helps show where Michael S. McGrath may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael S. McGrath, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael S. McGrath Line = papers co-authored together Michael S. McGrath links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Lytic growth of Kaposi's sarcoma–associated herpesvirus (human herpesvirus 8) in culture
Hit paper breakdown →
1996864
2
Immune activation set point during early HIV infection predicts subsequent CD4+ T-cell changes independent of viral load
Hit paper breakdown →
2004605
3 1986452
4 1997301
5 1989256
6 1991247
7 2008246
8 2010218
9 1999155
10 1979147
11 1987135
12 2004125
13 2013120
14 1996108
15 1995106
16
Identification of a common clonal human immunodeficiency virus integration site in human immunodeficiency virus-associated lymphomas.
1994105
17 198499
18 201093
19 197893
20 201391

About Michael S. McGrath

Michael S. McGrath is a scholar working on Virology, Oncology, Infectious Diseases, Immunology and Pathology and Forensic Medicine, having authored 157 papers that have together received 7.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (68 papers), Viral-associated cancers and disorders (34 papers), Lymphoma Diagnosis and Treatment (29 papers), HIV/AIDS Research and Interventions (26 papers), Immune Cell Function and Interaction (24 papers), HIV-related health complications and treatments (21 papers), Amyotrophic Lateral Sclerosis Research (12 papers) and HIV/AIDS drug development and treatment (11 papers). The work is most often cited by research in Virology (2.6k citations), Immunology (2.2k citations), Infectious Diseases (1.7k citations), Biological Psychiatry (206 citations) and Neurology (649 citations). Michael S. McGrath has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Brian Herndier, Irving L. Weissman, Nancy W. Abbey, Lynn Pulliam, Don Ganem, Weidong Zhong, Rolf Renne, Dean H. Kedes, Gregory R. Reyes and Jeffrey D. Lifson. Their work appears in journals such as AIDS Research and Human Retroviruses, Journal of Virology, JAIDS Journal of Acquired Immune Deficiency Syndromes, Journal of NeuroVirology and Journal of Neuroimmunology.

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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