Pascale Peyron

2.1k citations
15 papers · 1.6k indexed · 1 hit paper · h-index 13
Topics
Tuberculosis Research and Epidemiology (6 papers)Mycobacterium research and diagnosis (6 papers)Cellular transport and secretion (3 papers)

In The Last Decade

Pascale Peyron

14 papers receiving 1.6k citations

Hit Papers

Foamy Macrophages from Tuberculous Patients' Granulomas C...20082026201420202008100200300400500

Peers

Pascale Peyron
Comparison fields: 5 of 91
  • Infectious Diseases 785
  • Molecular Biology 648
  • Epidemiology 629
  • Immunology 323
  • Surgery 208
Replace Ka‐Wing Wong with:
Ka‐Wing Wong China
Xiuju Jiang United States
Jim Sun Canada
Mayer B. Goren United States
Florence Levillain France
Zakaria Hmama Canada
Kyle H. Rohde United States
Federico Giannoni Italy
G. Marcela Rodríguez United States
Mohlopheni J. Marakalala South Africa
Pascale Peyron relative to Ka‐Wing Wong China Ka‐Wing Wong's profile →
Citations per field
00.5×1.5×
Ka‐Wing Wong · 1×
Citations per year

Countries citing papers authored by Pascale Peyron

Since Specialization
Citations

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

Fields of papers citing papers by Pascale Peyron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascale Peyron

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 85
2 284
3 69
4 0
5 31
6
Foamy Macrophages from Tuberculous Patients' Granulomas Constitute a Nutrient-Rich Reservoir for M. tuberculosis Persistencebreakdown →
553
7 96
8 55
9 41
10 94
11 24
12 171
13 4
14 45
15 89

About Pascale Peyron

Pascale Peyron is a scholar working on Molecular Medicine, Infectious Diseases and Physiology, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Mycobacterium research and diagnosis (6 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Infectious Diseases (785 citations), Molecular Medicine (113 citations) and Epidemiology (629 citations). Pascale Peyron has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Isabelle Maridonneau‐Parini, Mamadou Daffé, Florence Levillain, Yannick Poquet, Chantal de Chastellier, Elsa-Noah N’Diaye, Frédéric Altare, Catherine Botanch, B. Marchou and Père-Joan Cardona. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

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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