Philippe Loth

1.1k citations
9 papers · 848 indexed · h-index 9

Impact in

    • Viral Infections and Vectors
    • Viral Infections and Outbreaks Research
    • SARS-CoV-2 and COVID-19 Research
  • Virology top 5%

Papers in

Philippe Loth

9 papers receiving 820 citations

Peers

Philippe Loth
Comparison fields: 5 of 48
  • Infectious Diseases 573
  • Virology 90
  • Epidemiology 631
  • Agronomy and Crop Science 78
  • Ecology, Evolution, Behavior and Systematics 87
Replace Jason Gren with:
Jason Gren Canada
Yogesh K. Gurav India
James Qu United States
K. B. Chua Malaysia
Yee‐Peng Chan United States
Beng Hooi Chua Australia
M.-C. Georges-Courbot France
Sazilah Ahmad Sarji Malaysia
Drishya Kurup United States
Nee Kong Chew Malaysia
Philippe Loth relative to Jason Gren Canada Jason Gren's profile →
Citations per field
00.5×3.8×
Jason Gren · 1×
Citations per year

Countries citing papers authored by Philippe Loth

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Loth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2003195
2 2003174
3 2009144
4 200698
5 200681
6 201054
7 200251
8 201236
9 199915

About Philippe Loth

Philippe Loth is a scholar working on Infectious Diseases, Virology, Epidemiology, Critical Care and Intensive Care Medicine and Emergency Medicine, having authored 9 papers that have together received 848 indexed citations. Recurring topics across this work include Virology and Viral Diseases (6 papers), Viral Infections and Vectors (4 papers), Mosquito-borne diseases and control (3 papers), Respiratory viral infections research (2 papers), Pancreatic function and diabetes (1 paper), Rabies epidemiology and control (1 paper), Animal Disease Management and Epidemiology (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Infectious Diseases (573 citations), Virology (90 citations), Epidemiology (631 citations), Agronomy and Crop Science (78 citations) and Ecology, Evolution, Behavior and Systematics (87 citations). Philippe Loth has collaborated with scholars based in France, Malaysia and Belgium. Frequent co-authors include Vincent Deubel, Hugues Contamin, Philippe Marianneau, Vanessa Guillaume, Sai Kit Lam, Sylvain Baize, Robin Buckland, Isabelle Grosjean, Thorsten Wild and Noël Tordo. Their work appears in journals such as Journal of Virology, The Journal of Infectious Diseases, Xenotransplantation, Transplantation and Emerging infectious diseases.

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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