C Valat

736 citations
32 papers · 580 · h-index 12

Impact in

Papers in

C Valat

30 papers receiving 560 citations

Peers

C Valat
Comparison fields: 5 of 86
  • Pulmonary and Respiratory Medicine 247
  • Pathology and Forensic Medicine 118
  • Critical Care and Intensive Care Medicine 29
  • Endocrinology, Diabetes and Metabolism 60
  • Surgery 106
Replace Constantina Aggeli with:
Constantina Aggeli Greece
Antonio Fortunato Italy
Dejan Simeunović Serbia
Kevin E. McCarthy United States
I Shapira Israel
Michael B. Kodroff United States
Jeremy A. Mazurek United States
Richard M. Strong United States
Henry Goodgold United States
Rabia Ergelen Türkiye
C Valat relative to Constantina Aggeli Greece Constantina Aggeli's profile →
Citations per field
00.5×4.2×
Constantina Aggeli · 1×
Citations per year

Countries citing papers authored by C Valat

Since Specialization
Citations

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

Fields of papers citing papers by C Valat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199894
2 200588
3 201277
4 201168
5 200132
6 200031
7 200622
8 200322
9 199821
10 198417
11 199514
12
[Serum procalcitonin and respiratory tract infections].
199912
13 201010
14 19979
15 19949
16 19847
17 19956
18 20096
19 20116
20 19935

About C Valat

C Valat is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Physiology and Surgery, having authored 32 papers that have together received 580 indexed citations. Recurring topics across this work include Inhalation and Respiratory Drug Delivery (5 papers), Systemic Sclerosis and Related Diseases (5 papers), Hormonal and reproductive studies (3 papers), Thyroid Disorders and Treatments (3 papers), Cystic Fibrosis Research Advances (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Adrenal Hormones and Disorders (2 papers) and Thyroid and Parathyroid Surgery (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (247 citations), Pathology and Forensic Medicine (118 citations), Critical Care and Intensive Care Medicine (29 citations), Endocrinology, Diabetes and Metabolism (60 citations) and Surgery (106 citations). C Valat has collaborated with scholars based in France, Switzerland and Russia. Frequent co-authors include P. Diot, E Boissinot, Daniel Grimbert, Laurent Vecellio, Élisabeth Diot, J.‐L. Guilmot, M. De Monte, É. Lemarié, J.‐C. Dubus and James B. Fink. Their work appears in journals such as European Respiratory Journal, European Journal of Nuclear Medicine and Molecular Imaging, Nuclear Medicine Communications, Pediatric Research and Journal of Aerosol Medicine and Pulmonary Drug Delivery.

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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