Olivier Join‐Lambert

60 papers receiving 4.1k citations

Olivier Join‐Lambert's Hit Papers

Monitoring of Blood Vessels and Tissues by a Population of Monocytes with Patrolling Behavior 2007 · 1.5k citations
1.5k0+6+12Years since publication4008001.2k

Peers

Olivier Join‐Lambert
Comparison fields: 5 of 119
  • Dermatology 816
  • Endocrinology 372
  • Immunology 1.2k
  • Molecular Medicine 271
  • Microbiology 308
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Tomohiko Ogawa Japan
Stephan R. Krutzik United States
Norihisa Ishii Japan
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Olaf Groß Germany
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Citations per year

Countries citing papers authored by Olivier Join‐Lambert

Since Specialization
Citations

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

Fields of papers citing papers by Olivier Join‐Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olivier Join‐Lambert. 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 Olivier Join‐Lambert. The network helps show where Olivier Join‐Lambert may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Monitoring of Blood Vessels and Tissues by a Population of Monocytes with Patrolling Behavior
Hit paper breakdown →
20071480
2 2002205
3 2009174
4 2014127
5 2020115
6 2011111
7 2010109
8 2014107
9 2006102
10 201796
11 201088
12 201476
13 200470
14 201570
15 200669
16 201561
17 200358
18 200255
19 202053
20 202052

About Olivier Join‐Lambert

Olivier Join‐Lambert is a scholar working on Dermatology, Epidemiology, Microbiology, Surgery and Endocrinology, having authored 61 papers that have together received 4.2k indexed citations. Recurring topics across this work include Hidradenitis Suppurativa and Treatments (16 papers), Bacterial Infections and Vaccines (10 papers), Colorectal and Anal Carcinomas (8 papers), Antibiotic Resistance in Bacteria (7 papers), Bacterial Identification and Susceptibility Testing (7 papers), Listeria monocytogenes in Food Safety (7 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers) and Immune Response and Inflammation (6 papers). The work is most often cited by research in Dermatology (816 citations), Endocrinology (372 citations), Immunology (1.2k citations), Molecular Medicine (271 citations) and Microbiology (308 citations). Olivier Join‐Lambert has collaborated with scholars based in France, Germany and Belgium. Frequent co-authors include Samer Kayal, Ana Cumano, Gaëlle Elain, Grégoire Lauvau, Cédric Auffray, Darin K. Fogg, Frédéric Geissmann, Sabine Sarnacki, Meriem Garfa‐Traoré and Xavier Nassif. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Infection and Immunity, Journal of the American Academy of Dermatology, British Journal of Dermatology and Cellular 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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