Éric Kipnis

7.3k citations
87 papers · 3.2k · h-index 32

Impact in

Papers in

    • Bacterial biofilms and quorum sensing 8
    • Sepsis Diagnosis and Treatment 7
    • Pneumonia and Respiratory Infections 4

Éric Kipnis

84 papers receiving 3.1k citations

Peers

Éric Kipnis
Comparison fields: 5 of 138
  • Critical Care and Intensive Care Medicine 415
  • Molecular Medicine 452
  • Applied Microbiology and Biotechnology 133
  • Endocrinology 180
  • Infectious Diseases 493
Replace C. Brun‐Buisson with:
C. Brun‐Buisson France
June Myung Kim South Korea
Hans Jørn Kolmos Denmark
Markos Marangos Greece
Su Jin Jeong South Korea
Andrew Conway Morris United Kingdom
Alain Lepape France
Tetsuya Matsumoto Japan
Alessandro Russo Italy
Éric Batard France
Éric Kipnis relative to C. Brun‐Buisson France C. Brun‐Buisson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Éric Kipnis

Since Specialization
Citations

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

Fields of papers citing papers by Éric Kipnis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006265
2 2015246
3 2014187
4 2019169
5 2018160
6 2012134
7 2006111
8 2016106
9 201094
10 201470
11 200364
12 200863
13 201762
14 201462
15 201159
16 202058
17 200855
18 201654
19 202051
20 201350

About Éric Kipnis

Éric Kipnis is a scholar working on Molecular Biology, Epidemiology, Surgery, Infectious Diseases and Molecular Medicine, having authored 87 papers that have together received 3.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (13 papers), Nosocomial Infections in ICU (9 papers), Bacterial biofilms and quorum sensing (8 papers), Sepsis Diagnosis and Treatment (7 papers), Hemodynamic Monitoring and Therapy (6 papers), Bacterial Identification and Susceptibility Testing (6 papers), Pneumonia and Respiratory Infections (4 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (415 citations), Molecular Medicine (452 citations), Applied Microbiology and Biotechnology (133 citations), Endocrinology (180 citations) and Infectious Diseases (493 citations). Éric Kipnis has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Emmanuel Faure, Jeanine P. Wiener-Kronish, Teiji Sawa, Benoît Guéry, Rodrigue Dessein, Perrine Bortolotti, Karine Faure, Philippe Gosset, Teddy Grandjean and Gilles Lebuffe. Their work appears in journals such as Critical Care, Intensive Care Medicine, British Journal of Anaesthesia, Journal of Hospital Infection and European Journal of Cardio-Thoracic Surgery.

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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