Françoise Gray

201 papers receiving 9.6k citations

Peers

Françoise Gray
Comparison fields: 5 of 133
  • Virology 2.9k
  • Neurology 2.1k
  • Neurology 1.9k
  • Biological Psychiatry 253
  • Critical Care and Intensive Care Medicine 493
Replace Carol Kaiser Petito with:
Carol Kaiser Petito United States
Eugene O. Major United States
Francesco Scaravilli United Kingdom
Dennis L. Kolson United States
Magnus Gisslén Sweden
William F. Hickey United States
Serena Spudich United States
David R. Cornblath United States
Etty N. Benveniste United States
Joan W. Berman United States
Françoise Gray relative to Carol Kaiser Petito United States Carol Kaiser Petito's profile →
Citations per field
00.5×2×3.3×
Carol Kaiser Petito · 1×
Citations per year

Countries citing papers authored by Françoise Gray

Since Specialization
Citations

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

Fields of papers citing papers by Françoise Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Françoise Gray, 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 Françoise Gray Line = papers co-authored together Françoise Gray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 208 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010438
2 1991290
3 2004267
4 1994266
5 2003255
6 1996236
7 1995215
8 2007204
9 1988185
10 2002178
11 2003175
12
Localization of HIV-1 co-receptors CCR5 and CXCR4 in the brain of children with AIDS.
1998165
13 1992157
14 1993157
15 1999156
16 2012155
17 2002152
18 1999146
19 1999137
20 1994134

About Françoise Gray

Françoise Gray is a scholar working on Virology, Neurology, Neurology, Infectious Diseases and Epidemiology, having authored 208 papers that have together received 10.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (62 papers), Alzheimer's disease research and treatments (20 papers), Cytomegalovirus and herpesvirus research (19 papers), Polyomavirus and related diseases (18 papers), Herpesvirus Infections and Treatments (17 papers), Neuroinflammation and Neurodegeneration Mechanisms (17 papers), Prion Diseases and Protein Misfolding (16 papers) and Infectious Encephalopathies and Encephalitis (15 papers). The work is most often cited by research in Virology (2.9k citations), Neurology (2.1k citations), Neurology (1.9k citations), Biological Psychiatry (253 citations) and Critical Care and Intensive Care Medicine (493 citations). Françoise Gray has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Francesco Scaravilli, Romain Kroum Gherardi, Tarek Sharshar, Djillali Annane, Homa Adle‐Biassette, Catherine Keohane, Shu An, Jean‐Philippe Brouland, Fabrice Chrétien and Claire Paquet. Their work appears in journals such as Journal of Neuropathology & Experimental Neurology, Acta Neuropathologica, Neuropathology and Applied Neurobiology, Brain Pathology and The Lancet.

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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