Philippe Lefèvre

1.6k citations
60 papers · 1.2k · h-index 21

Impact in

Papers in

Philippe Lefèvre

55 papers receiving 1.2k citations

Peers

Philippe Lefèvre
Comparison fields: 5 of 124
  • Infectious Diseases 482
  • Archeology 206
  • Epidemiology 470
  • Molecular Medicine 72
  • Genetics 147
Replace Oona Y.-C. Lee with:
Oona Y.-C. Lee United Kingdom
Sayaka Nagasawa Japan
S J Mattingly United States
Chun-Kai Huang Taiwan
Azizul Haque France
Sei Takahashi Japan
David M. Scollard United States
Barbara A. Sampson United States
Anurag Sharma United States
Rahul Sharma India
Philippe Lefèvre relative to Oona Y.-C. Lee United Kingdom Oona Y.-C. Lee's profile →
Citations per field
00.5×3.4×
Oona Y.-C. Lee · 1×
Citations per year

Countries citing papers authored by Philippe Lefèvre

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Lefèvre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999105
2 200992
3 200588
4 199783
5 200865
6 199657
7 202057
8 200747
9 201347
10 199343
11 201541
12 199639
13 201433
14 201631
15 200928
16 200927
17 200026
18 202124
19 200924
20 200622

About Philippe Lefèvre

Philippe Lefèvre is a scholar working on Infectious Diseases, Epidemiology, Archeology, Molecular Biology and Genetics, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (16 papers), Forensic Anthropology and Bioarchaeology Studies (15 papers), Mycobacterium research and diagnosis (13 papers), Autopsy Techniques and Outcomes (5 papers), Forensic and Genetic Research (5 papers), Biochemical and Molecular Research (4 papers), dental development and anomalies (3 papers) and Hip disorders and treatments (2 papers). The work is most often cited by research in Infectious Diseases (482 citations), Archeology (206 citations), Epidemiology (470 citations), Molecular Medicine (72 citations) and Genetics (147 citations). Philippe Lefèvre has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Kris Huygen, Jean Content, Martine Braibant, Priska Peirs, Olivier Denis, Xiaoming Wang, Josette Ooms, Véronique Fontaine, Lucas De Wit and Serge Van Sint Jan. Their work appears in journals such as Journal of Forensic Sciences, Tuberculosis, Antimicrobial Agents and Chemotherapy, Forensic Science International and Clinical Biomechanics.

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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