G. Chamba

661 citations
33 papers · 544 · h-index 12

Impact in

Papers in

G. Chamba

31 papers receiving 527 citations

Peers

G. Chamba
Comparison fields: 5 of 83
  • Endocrine and Autonomic Systems 78
  • Physiology 281
  • Cellular and Molecular Neuroscience 152
  • Biological Psychiatry 18
  • Behavioral Neuroscience 24
Replace S Trojan with:
S Trojan Czechia
Dorit Ravid Israel
Carl J. Getto United States
Dennis Sweitzer United States
Song Chi China
Paola Merlo Italy
Tadashi Nishikawa Japan
Hisayoshi Niigawa Japan
Logos Curtis Switzerland
Michelle You United States
G. Chamba relative to S Trojan Czechia S Trojan's profile →
Citations per field
00.5×3.6×
S Trojan · 1×
Citations per year

Countries citing papers authored by G. Chamba

Since Specialization
Citations

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

Fields of papers citing papers by G. Chamba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200684
2 199746
3 199146
4 200740
5 200540
6 198337
7 199132
8 199030
9 200525
10 200622
11 199819
12 200311
13 199810
14 198210
15 19849
16 20148
17 19997
18 20097
19 20037
20 20076

About G. Chamba

G. Chamba is a scholar working on Physiology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Molecular Biology and Pharmacology, having authored 33 papers that have together received 544 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (10 papers), Respiratory and Cough-Related Research (10 papers), Neuropeptides and Animal Physiology (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (4 papers), Allergic Rhinitis and Sensitization (3 papers) and Inhalation and Respiratory Drug Delivery (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (78 citations), Physiology (281 citations), Cellular and Molecular Neuroscience (152 citations), Biological Psychiatry (18 citations) and Behavioral Neuroscience (24 citations). G. Chamba has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Bernard Renaud, Laurent Laforest, Éric Van Ganse, Gilles Devouassoux, Y. Pachéco, Catherine I. Rousset, Dinah Weissmann, Liesl M. Osman, Philippe‐Jean Bousquet and Roger Besançon. Their work appears in journals such as Brain Research, Human Mutation, Biological Psychiatry, Annals of Allergy Asthma & Immunology and Biochemical Pharmacology.

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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