M. Ladsous

529 total citations
23 papers, 282 citations indexed

About

M. Ladsous is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Surgery. According to data from OpenAlex, M. Ladsous has authored 23 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in M. Ladsous's work include Thyroid Disorders and Treatments (8 papers), Thyroid Cancer Diagnosis and Treatment (6 papers) and Neuroendocrine Tumor Research Advances (5 papers). M. Ladsous is often cited by papers focused on Thyroid Disorders and Treatments (8 papers), Thyroid Cancer Diagnosis and Treatment (6 papers) and Neuroendocrine Tumor Research Advances (5 papers). M. Ladsous collaborates with scholars based in France, United States and Canada. M. Ladsous's co-authors include Jean-Louis Wémeau, Christine Do Cao, Marie‐Christine Vantyghem, M. D’Herbomez, Arnaud Jannin, Nicolas Penel, Emmanuelle Proust-Lemoine, T. J. Visser, Frédèric Gottrand and J. R. C. Jansen and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology and Thyroid.

In The Last Decade

M. Ladsous

19 papers receiving 275 citations

Peers

M. Ladsous
Comparison fields: 5 of 51
  • Endocrinology, Diabetes and Metabolism 134
  • Genetics 80
  • Molecular Biology 78
  • Oncology 48
  • Epidemiology 33
Replace G A Ledger with:
G A Ledger United States
JM Burrin United Kingdom
Raitis Pečulis Latvia
Greta Lyons United Kingdom
Asako Miyazaki Japan
Luciana Audi Castroneves Brazil
Stefano Lavaroni Italy
Yoshihiko Ueta Japan
Anna Bossowska Poland
R Paschke Germany
G A Ledger United States View profile →
Citations per field, relative to M. Ladsous
M. Ladsous · 1×
Citations per year, relative to M. Ladsous
M. Ladsous · 1×

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-authorship network of co-authors of M. Ladsous

This figure shows the co-authorship network connecting the top 25 collaborators of M. Ladsous. A scholar is included among the top collaborators of M. Ladsous based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Ladsous. M. Ladsous is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 4
4 6
5 1
6 5
7 26
8 28
9 48
10 6
11 0
12 2
13 22
14 7
15 9
16 1
17 1
18 23
19 70
20 19

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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