C A Hébert

6.7k citations
34 papers · 5.6k indexed · 1 hit paper · h-index 28

C A Hébert

34 papers receiving 5.4k citations

Hit Papers

International Union of Pharmacology. XXII. Nomenclature f...1.5k20002026200820174008001.2k

Peers

C A Hébert
Comparison fields: 5 of 120
  • Immunology and Allergy 855
  • Immunology 2.8k
  • Oncology 2.3k
  • Virology 198
  • Hematology 375
Replace S L Kunkel with:
S L Kunkel United States
Walter Luini Italy
Daniele D’Ambrosio Italy
Hartmut Engelmann Israel
L Aarden Netherlands
M A Vadas Australia
A E Koch United States
Stephan Segerer Germany
Guttorm Haraldsen Norway
Mike Salmon United Kingdom
C A Hébert relative to S L Kunkel United States S L Kunkel's profile →
Citations per field
00.5×1.5×1.9×
S L Kunkel · 1×
Citations per year

Countries citing papers authored by C A Hébert

Since Specialization
Citations

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

Fields of papers citing papers by C A Hébert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C A Hébert. 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 C A Hébert. The network helps show where C A Hébert may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200736
2 200065
3 20001
4 199910
5 199893
6 199743
7 19972
8 199799
9 199769
10 1997128
11 199654
12 199653
13 1995168
14 1995328
15 199266
16 1992245
17 199292
18 1992117
19 1992118
20 1991372

About C A Hébert

C A Hébert is a scholar working on Immunology and Allergy, Immunology, Microbiology, Physical Therapy, Sports Therapy and Rehabilitation and Oncology, having authored 34 papers that have together received 5.6k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (13 papers), Immune Response and Inflammation (11 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), S100 Proteins and Annexins (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Chemokine receptors and signaling (4 papers), Asthma and respiratory diseases (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Immunology and Allergy (855 citations), Immunology (2.8k citations), Oncology (2.3k citations), Virology (198 citations) and Hematology (375 citations). C A Hébert has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Joffre Baker, Richard Horuk, Louis H. Miller, Israel Charo, Joost J. Oppenheim, Christopher Power, Kouji Matsushima, Marco Baggiolini, J B Baker and V. Courtney Broaddus. Their work appears in journals such as The Journal of Immunology, Journal of Clinical Investigation, Journal of Biological Chemistry, American Journal of Physiology-Lung Cellular and Molecular Physiology and Protein Science.

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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