N. Barbot

13 papers receiving 332 citations

Peers

N. Barbot
Comparison fields: 5 of 72
  • Endocrinology, Diabetes and Metabolism 148
  • Behavioral Neuroscience 24
  • Pathology and Forensic Medicine 71
  • Genetics 26
  • Cellular and Molecular Neuroscience 43
Replace Min Shi with:
Min Shi China
A. Fusco Italy
Anna‐Lena Eriksson Sweden
Roberto Romoli Italy
Kazumi Higuchi Japan
Tadashi Morimura Japan
J Földes Hungary
K.S. Lau Hong Kong
Malgorzata Labuda Canada
L. Mao United States
N. Barbot relative to Min Shi China Min Shi's profile →
Citations per field
00.5×3.3×
Min Shi · 1×
Citations per year

Countries citing papers authored by N. Barbot

Since Specialization
Citations

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

Fields of papers citing papers by N. Barbot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 199493
2 199473
3
[Chronic autoimmune thyroiditis and C-cell hyperplasia. Study of calcitonin secretion in 24 patients].
199131
4 198729
5 199721
6 199621
7 199119
8 199817
9 199316
10 199112
11 19938
12 19905
13
[Isolated thyroid nodule. Comparative value of cyto-puncture and scintigraphy].
19973

About N. Barbot

N. Barbot is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Physiology, Cellular and Molecular Neuroscience and Orthopedics and Sports Medicine, having authored 13 papers that have together received 348 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (4 papers), Thyroid Disorders and Treatments (2 papers), Nerve injury and regeneration (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Retinoids in leukemia and cellular processes (2 papers), Nuclear Receptors and Signaling (2 papers), Peptidase Inhibition and Analysis (2 papers) and Bone health and treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (148 citations), Behavioral Neuroscience (24 citations), Pathology and Forensic Medicine (71 citations), Genetics (26 citations) and Cellular and Molecular Neuroscience (43 citations). N. Barbot has collaborated with scholars based in France and Denmark. Frequent co-authors include Didier Wion, V. Rohmer, J Bigorgne, P. Brachet, Isabelle Schuffenecker, Brigitte Franc, C Calmettes, Jean‐Paul Saint‐André, P Jallet and François Berger. Their work appears in journals such as Journal of Clinical Pathology, The Journal of Clinical Endocrinology & Metabolism, Molecular and Cellular Endocrinology, Biochemical and Biophysical Research Communications and Thyroid.

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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