M D’Armiento

2.8k citations
69 papers · 2.2k · h-index 27

Impact in

Papers in

M D’Armiento

68 papers receiving 2.1k citations

Peers

M D’Armiento
Comparison fields: 5 of 106
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Reproductive Medicine 392
  • Cancer Research 312
  • Oncology 349
  • Cell Biology 208
Replace Carolyn D. Scott with:
Carolyn D. Scott Australia
Frédérique Savagner France
Rachel A. Davey Australia
Karin Williams United Kingdom
Hiroshi Kogo Japan
Kin‐Chuen Leung Australia
Huai‐Dong Song China
Cuong Hoang‐Vu Germany
Kay W. Colston United Kingdom
Klaus Brusgaard Denmark
M D’Armiento relative to Carolyn D. Scott Australia Carolyn D. Scott's profile →
Citations per field
00.5×4.1×
Carolyn D. Scott · 1×
Citations per year

Countries citing papers authored by M D’Armiento

Since Specialization
Citations

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

Fields of papers citing papers by M D’Armiento

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009246
2 1995228
3 1991100
4 199097
5 199193
6 200990
7 200682
8 200070
9 199967
10 199456
11 199254
12 199452
13 199347
14 200447
15 200945
16 200744
17 200839
18 198336
19 201036
20 201435

About M D’Armiento

M D’Armiento is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Cell Biology and Cancer Research, having authored 69 papers that have together received 2.2k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (19 papers), Thyroid Cancer Diagnosis and Treatment (14 papers), Microtubule and mitosis dynamics (11 papers), Thyroid and Parathyroid Surgery (8 papers), Protease and Inhibitor Mechanisms (8 papers), Growth Hormone and Insulin-like Growth Factors (8 papers), Sexual Differentiation and Disorders (7 papers) and Sperm and Testicular Function (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Reproductive Medicine (392 citations), Cancer Research (312 citations), Oncology (349 citations) and Cell Biology (208 citations). M D’Armiento has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Salvatore Ulisse, Emmanuele A. Jannini, Enke Baldini, Salvatore Sorrenti, Eleonora Carosa, Nadia Rucci, Mario Pepe, Enrico De Antoni, Michele Olivieri and Pierpaolo Trimboli. Their work appears in journals such as Endocrinology, Thyroid, The Journal of Clinical Endocrinology & Metabolism, Journal of Endocrinology and Endocrine Related Cancer.

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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