G. M. Gershy-Damet

893 citations
13 papers · 255 indexed · h-index 8
Topics
HIV/AIDS Research and Interventions (4 papers)T-cell and Retrovirus Studies (3 papers)Animal Disease Management and Epidemiology (3 papers)
Journals
The LancetSHILAP Revista de lepidopterologíaJournal of Clinical Microbiology

In The Last Decade

G. M. Gershy-Damet

13 papers receiving 238 citations

Peers

G. M. Gershy-Damet
Comparison fields: 5 of 43
  • Infectious Diseases 154
  • Virology 111
  • Epidemiology 79
  • Immunology 64
  • Agronomy and Crop Science 51
Replace Guy Léonard with:
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Countries citing papers authored by G. M. Gershy-Damet

Since Specialization
Citations

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

Fields of papers citing papers by G. M. Gershy-Damet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. M. Gershy-Damet

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 9
2 8
3 63
4
The present and future course of the AIDS epidemic in Côte d'Ivoire.
1
5
[Prevalence of Chlamydia trachomatis in genital samples from Abidjan].
1
6
Rapid spread of HIV infection in Côte d'Ivoire
2
7 59
8 1
9 21
10 9
11 67
12
[Endemic emergence of yellow fever in the Ivory Coast: the place of anti-yellow fever IgM detection in the strategy of surveillance].
7
13
[Rural epidemic of yellow fever with interhuman transmission in the Ivory Coast in 1982].
7

About G. M. Gershy-Damet

G. M. Gershy-Damet is a scholar working on Virology, Infectious Diseases and General Social Sciences, having authored 13 papers that have together received 255 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (4 papers), T-cell and Retrovirus Studies (3 papers) and Animal Disease Management and Epidemiology (3 papers). The work is most often cited by research in Virology (111 citations), Infectious Diseases (154 citations) and Agronomy and Crop Science (51 citations). G. M. Gershy-Damet has collaborated with scholars based in France, Ivory Coast and South Africa. Frequent co-authors include M Mounier, Guy Léonard, Françis Barin, F. Denis, Kimberly Marsh, Christopher D. Pilcher, Stefan Z. Wiktor, J. Steven McDougal, Bernard M. Branson and Bharat Parekh. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Journal of Clinical Microbiology.

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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