M D’Armiento

2.8k citations
71 papers · 2.4k · h-index 29

Impact in

Papers in

M D’Armiento

70 papers receiving 2.2k citations

Peers

M D’Armiento
Comparison fields: 5 of 104
  • Endocrinology, Diabetes and Metabolism 991
  • Reproductive Medicine 411
  • Cancer Research 294
  • Cell Biology 220
  • Oncology 324
Replace Karin Williams with:
Karin Williams United Kingdom
Carolyn D. Scott Australia
Mats Gåfvels Sweden
Hiroshi Kogo Japan
Frédérique Savagner France
Huai‐Dong Song China
Cuong Hoang‐Vu Germany
Linda Tseng United States
G. Fiorelli Italy
Nicholas A. Romas United States
M D’Armiento relative to Karin Williams United Kingdom Karin Williams's profile →
Citations per field
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Karin Williams · 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 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009255
2 1995249
3 1991107
4 1990106
5 1991104
6 200995
7 200685
8 200080
9 199970
10 199458
11 199255
12 199454
13 199349
14 200448
15 200947
16 200746
17 200842
18 198342
19 201040
20 200638

About M D’Armiento

M D’Armiento is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cancer Research, Cell Biology and Surgery, having authored 71 papers that have together received 2.4k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (19 papers), Microtubule and mitosis dynamics (11 papers), Protease and Inhibitor Mechanisms (9 papers), Growth Hormone and Insulin-like Growth Factors (8 papers), Thyroid Cancer Diagnosis and Treatment (8 papers), Sexual Differentiation and Disorders (7 papers), Sperm and Testicular Function (6 papers) and Thyroid and Parathyroid Surgery (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (991 citations), Reproductive Medicine (411 citations), Cancer Research (294 citations), Cell Biology (220 citations) and Oncology (324 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, Michele Olivieri, Enrico De Antoni, Mario Pepe and Pierpaolo Trimboli. Their work appears in journals such as Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Thyroid, Journal of Endocrinology and BMC Surgery.

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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