Jérôme Lambert

131 papers receiving 3.0k citations

Peers

Jérôme Lambert
Comparison fields: 5 of 169
  • Critical Care and Intensive Care Medicine 167
  • Epidemiology 697
  • Hepatology 160
  • Hematology 227
  • Applied Microbiology and Biotechnology 31
Replace Hanns Ackermann with:
Hanns Ackermann Germany
Moo Suk Park South Korea
Peter N. Cox Canada
Pierre Hausfater France
Frédéric Pène France
Kyung Soo Chung South Korea
Joon Chang South Korea
Sang‐Min Lee South Korea
Alain Beauchet France
Alan Kawarai Lefor Japan
Jérôme Lambert relative to Hanns Ackermann Germany Hanns Ackermann's profile →
Citations per field
00.5×1.5×2.4×
Hanns Ackermann · 1×
Citations per year

Countries citing papers authored by Jérôme Lambert

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010191
2 2012120
3 2008105
4 2013101
5 201589
6 201387
7 201780
8 201677
9 201170
10 200869
11 201369
12 202068
13 200767
14 201067
15 200361
16 202160
17 202060
18 201459
19 201459
20 201155

About Jérôme Lambert

Jérôme Lambert is a scholar working on Hematology, Oncology, Epidemiology, Genetics and Materials Chemistry, having authored 139 papers that have together received 3.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Pickering emulsions and particle stabilization (8 papers), Aquaculture Nutrition and Growth (7 papers), Multiple Myeloma Research and Treatments (6 papers), Enhanced Oil Recovery Techniques (6 papers), Respiratory Support and Mechanisms (5 papers), Sepsis Diagnosis and Treatment (5 papers) and Reproductive biology and impacts on aquatic species (5 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (167 citations), Epidemiology (697 citations), Hepatology (160 citations), Hematology (227 citations) and Applied Microbiology and Biotechnology (31 citations). Jérôme Lambert has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Sylvie Chevret, Élie Azoulay, Djamel Mokart, Virginie Lemiale, P. Cacoub, Philippe Halfon, Fabrice Carrat, Antoine Rabbat, Guillaume Pénaranda and Isabelle Cantat. Their work appears in journals such as Blood, Journal of Clinical Oncology, Colloids and Surfaces A Physicochemical and Engineering Aspects, Aquaculture 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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