Angelo Molinaro

695 citations
19 papers · 483 · h-index 13

Impact in

Papers in

Angelo Molinaro

19 papers receiving 464 citations

Peers

Angelo Molinaro
Comparison fields: 5 of 62
  • Endocrinology, Diabetes and Metabolism 172
  • Genetics 152
  • Cell Biology 70
  • Molecular Biology 161
  • Aging 4
Replace Elina Hakonen with:
Elina Hakonen Finland
Louise Gregory United Kingdom
Gerard Ruiz‐Babot United Kingdom
Maria Teresa Pirro Italy
Soo‐Mi Park United Kingdom
Francisco J. López United States
Typhanie Dumontet France
Olivier Camand France
Raquel Rodrigues Portugal
Sahila Balkassmi Netherlands
Angelo Molinaro relative to Elina Hakonen Finland Elina Hakonen's profile →
Citations per field
00.5×1.5×
Elina Hakonen · 1×
Citations per year

Countries citing papers authored by Angelo Molinaro

Since Specialization
Citations

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

Fields of papers citing papers by Angelo Molinaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201263
2 201156
3 202144
4 197640
5 201539
6 201637
7 201527
8 201426
9 201625
10 201624
11 201423
12 201320
13 202117
14 201910
15 20129
16 20199
17 20228
18 20234
19 20192

About Angelo Molinaro

Angelo Molinaro is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Cell Biology and Surgery, having authored 19 papers that have together received 483 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (5 papers), Genomics and Rare Diseases (4 papers), Genetic Syndromes and Imprinting (4 papers), Congenital heart defects research (4 papers), Muscle metabolism and nutrition (3 papers), Muscle Physiology and Disorders (3 papers), Thyroid Disorders and Treatments (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (172 citations), Genetics (152 citations), Cell Biology (70 citations), Molecular Biology (161 citations) and Aging (4 citations). Angelo Molinaro has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Massimo Tonacchera, Patrizia Agretti, Paolo Vitti, Filippo Niccolai, Teresa Rago, Giuseppina De Marco, Aldo Pinchera, Antonio Dimida, G. Di Coscio and Tommaso Pizzorusso. Their work appears in journals such as Journal of Bone and Mineral Research, Human Molecular Genetics, Molecular Psychiatry, The Journal of Experimental Medicine and European Journal of Endocrinology.

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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