J. Gérain

31 papers receiving 1.1k citations

Peers

J. Gérain
Comparison fields: 5 of 100
  • Immunology 379
  • Critical Care and Intensive Care Medicine 55
  • Epidemiology 285
  • Clinical Biochemistry 48
  • Oncology 172
Replace Debra D. Poutsiaka with:
Debra D. Poutsiaka United States
Fabrice Uhel France
Stavros Sougioultzis Greece
R. Urbaschek Germany
Edson Assis Brazil
Dieter Fröhlich Germany
Judith Branger Netherlands
Koenraad F. van der Sluijs Netherlands
Yuko Matsunaga Japan
Sebastiaan Weijer Netherlands
J. Gérain relative to Debra D. Poutsiaka United States Debra D. Poutsiaka's profile →
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Citations per year

Countries citing papers authored by J. Gérain

Since Specialization
Citations

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

Fields of papers citing papers by J. Gérain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991358
2 1992200
3 1990122
4 199570
5 199545
6 199444
7
Clinical experience with high-dose tumor necrosis factor alpha in regional therapy of advanced melanoma.
199437
8 199225
9 199225
10 199024
11 200024
12
Administration of high-dose tumor necrosis factor alpha by isolation perfusion of the limbs. Rationale and results.
199521
13 199717
14 199515
15 199212
16 199310
17 19939
18 19938
19
[Prevention using pefloxacin of infections in cancer patients with granulocytopenia].
19898
20 19968

About J. Gérain

J. Gérain is a scholar working on Immunology, Infectious Diseases, Oncology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (4 papers), Cell Adhesion Molecules Research (4 papers), Bacterial Identification and Susceptibility Testing (3 papers), Immune Response and Inflammation (3 papers), Neonatal Respiratory Health Research (3 papers), Respiratory Support and Mechanisms (2 papers), Cutaneous Melanoma Detection and Management (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Immunology (379 citations), Critical Care and Intensive Care Medicine (55 citations), Epidemiology (285 citations), Clinical Biochemistry (48 citations) and Oncology (172 citations). J. Gérain has collaborated with scholars based in Belgium, Switzerland and Netherlands. Frequent co-authors include Didier Heumann, M. P. Glauser, Thierry Calandra, Jean-Daniel Baumgartner, J. D. Baumgartner, C Barras, Ferdy J. Lejeune, Robyn Lucas, Gláucia Zanetti and M. P. Glauser. Their work appears in journals such as Cytokine, The Journal of Experimental Medicine, Cellular Immunology, Frontiers in Nutrition and Journal of Cellular Biochemistry.

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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