M. Ladsous

19 papers receiving 275 citations

Peers

M. Ladsous
Comparison fields: 5 of 51
  • Endocrinology, Diabetes and Metabolism 134
  • Endocrine and Autonomic Systems 25
  • Genetics 80
  • Sensory Systems 13
  • Nephrology 15
Replace Asako Miyazaki with:
Asako Miyazaki Japan
K.S. Lau Hong Kong
Jingsi Luo China
JM Bidart France
Susan C. Lindsey Brazil
Martine Sinico France
David T. Asuzu United States
R Paschke Germany
Yoshihiko Ueta Japan
Raitis Pečulis Latvia
M. Ladsous relative to Asako Miyazaki Japan Asako Miyazaki's profile →
Citations per field
00.5×4.3×
Asako Miyazaki · 1×
Citations per year

Countries citing papers authored by M. Ladsous

Since Specialization
Citations

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

Fields of papers citing papers by M. Ladsous

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200870
2 201948
3 202028
4 202026
5 200823
6 201322
7 200619
8 20109
9 20107
10 20226
11 20196
12 20215
13 20234
14 20252
15 20172
16 20002
17 20091
18 20091
19 20221
20 20170

About M. Ladsous

M. Ladsous is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery, Molecular Biology and Oncology, having authored 23 papers that have together received 282 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (8 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Neuroendocrine Tumor Research Advances (5 papers), Head and Neck Anomalies (3 papers), Thyroid and Parathyroid Surgery (2 papers), Genetic Syndromes and Imprinting (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Neuroscience of respiration and sleep (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (134 citations), Endocrine and Autonomic Systems (25 citations), Genetics (80 citations), Sensory Systems (13 citations) and Nephrology (15 citations). M. Ladsous has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Jean-Louis Wémeau, Christine Do Cao, Marie‐Christine Vantyghem, M. D’Herbomez, Arnaud Jannin, Nicolas Penel, T. J. Visser, Emmanuelle Proust-Lemoine, Frédèric Gottrand and J. R. C. Jansen. Their work appears in journals such as European Journal of Endocrinology, Diabetes & Metabolism, Orphanet Journal of Rare Diseases, Graefe s Archive for Clinical and Experimental Ophthalmology and The Journal of Clinical Endocrinology & Metabolism.

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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