Philip Grant

4.4k total citations · 1 hit paper
61 papers, 2.5k citations indexed

About

Philip Grant is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Philip Grant has authored 61 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Infectious Diseases, 28 papers in Virology and 16 papers in Epidemiology. Recurrent topics in Philip Grant's work include HIV Research and Treatment (28 papers), HIV/AIDS drug development and treatment (28 papers) and HIV/AIDS Research and Interventions (17 papers). Philip Grant is often cited by papers focused on HIV Research and Treatment (28 papers), HIV/AIDS drug development and treatment (28 papers) and HIV/AIDS Research and Interventions (17 papers). Philip Grant collaborates with scholars based in United States, Rwanda and Canada. Philip Grant's co-authors include Aruna Subramanian, Catherine A. Blish, Jonasel Roque, Arjun Rustagi, Angela J. Rogers, Thanmayi Ranganath, Laura J. Simpson, Nancy Q. Zhao, Andrew Zolopa and Giovanny J. Martínez-Colón and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and PLoS ONE.

In The Last Decade

Philip Grant

59 papers receiving 2.5k citations

Hit Papers

A single-cell atlas of the peripheral immune response in ... 2020 2026 2022 2024 2020 250 500 750

Peers

Philip Grant
Comparison fields: 5 of 134
  • Infectious Diseases 1.4k
  • Neurology 498
  • Epidemiology 466
  • Immunology 439
  • Molecular Biology 423
Replace Wei Cao with:
Wei Cao China
Gail Matthews Australia
Yang Han China
Patrick Mallon Ireland
Frank Hulstaert Belgium
Armin Rieger Austria
Fabrice Bonnet France
Aziza Shad United States
Enrica Tamburrini Italy
Nicolás Meyer France
Wei Cao China View profile →
Citations per field, relative to Philip Grant
Philip Grant · 1×
Citations per year, relative to Philip Grant
Philip Grant · 1×

Countries citing papers authored by Philip Grant

Since Specialization
Citations

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

Fields of papers citing papers by Philip Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Grant

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Grant. A scholar is included among the top collaborators of Philip 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 Philip Grant. Philip 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
# Work Indexed citations
1 0
2 23
3 15
4 2
5 129
6 1
7 17
8
A single-cell atlas of the peripheral immune response in patients with severe COVID-19 breakdown →
915
9 179
10 6
11 3
12 1
13 16
14 16
15 9
16 35
17 119
18 17
19 26
20 96

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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