C. Chougnet

2.6k citations
36 papers · 1.6k · h-index 17

Impact in

Papers in

C. Chougnet

35 papers receiving 1.6k citations

Peers

C. Chougnet
Comparison fields: 5 of 60
  • Endocrinology, Diabetes and Metabolism 689
  • Neurology 574
  • Oncology 794
  • Epidemiology 813
  • Cancer Research 247
Replace 김나래 with:
김나래
Maria A. Kouvaraki United States
A. Berdelou France
Joakim Crona Sweden
Jaydira Del Rivero United States
Cathérine De Micco France
J A van Heerden United States
Edina Paál United States
Nitya Raj United States
P. J. Loehrer United States
C. Chougnet relative to 김나래 김나래's profile →
Citations per field
00.5×6.4×
김나래 · 1×
Citations per year

Countries citing papers authored by C. Chougnet

Since Specialization
Citations

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

Fields of papers citing papers by C. Chougnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015277
2 2013244
3 2012144
4 2014137
5 2015106
6 2017102
7 201381
8 201481
9 201070
10 201262
11 201349
12 201545
13 201129
14 201318
15 201818
16 201217
17 201016
18 201215
19 201612
20 201212

About C. Chougnet

C. Chougnet is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Oncology and Neurology, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (20 papers), Neuroendocrine Tumor Research Advances (14 papers), Thyroid and Parathyroid Surgery (9 papers), Lung Cancer Research Studies (7 papers), Neuroblastoma Research and Treatments (7 papers), Pituitary Gland Disorders and Treatments (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (689 citations), Neurology (574 citations), Oncology (794 citations), Epidemiology (813 citations) and Cancer Research (247 citations). C. Chougnet has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Sophie Leboulleux, Éric Baudin, Martin Schlumberger, Isabelle Borget, Caroline Caramella, Désirèe Deandreis, Abir Al Ghuzlan, Jean‐Yves Scoazec, Julien Hadoux and Anja Rinke. Their work appears in journals such as Endocrine Related Cancer, Thyroid, European Journal of Endocrinology, The Journal of Clinical Endocrinology & Metabolism and European Thyroid Journal.

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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