T. Musella

498 citations
14 papers · 388 · h-index 10

Impact in

Papers in

T. Musella

14 papers receiving 381 citations

Peers

T. Musella
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 169
  • Orthopedics and Sports Medicine 77
  • Oncology 87
  • Nephrology 22
  • Rehabilitation 19
Replace Sasigarn A. Bowden with:
Sasigarn A. Bowden United States
M. Ventura Italy
Zhengju Fu China
P Oriente Italy
P. Bernecker Austria
Reiko Nakashima Japan
Gitanjali Paul United States
Steve Orme United Kingdom
C. Vandepol United States
Zhongchao Wang China
T. Musella relative to Sasigarn A. Bowden United States Sasigarn A. Bowden's profile →
Citations per field
00.5×3.8×
Sasigarn A. Bowden · 1×
Citations per year

Countries citing papers authored by T. Musella

Since Specialization
Citations

This map shows the geographic impact of T. Musella'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 T. Musella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Musella more than expected).

Fields of papers citing papers by T. Musella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Pre-clinical and clinical experiences with novel somatostatin ligands: advantages, disadvantages and new prospects.
200562
2 200956
3 200555
4 200551
5 200743
6 200626
7 200823
8 201123
9 200515
10 200611
11 20148
12 20107
13 20084
14 20114

About T. Musella

T. Musella is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Molecular Biology, Oncology and Surgery, having authored 14 papers that have together received 388 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (2 papers), Bone health and osteoporosis research (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers), Cardiovascular Function and Risk Factors (2 papers), Bone health and treatments (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Heart Rate Variability and Autonomic Control (2 papers) and Neuroblastoma Research and Treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (169 citations), Orthopedics and Sports Medicine (77 citations), Oncology (87 citations), Nephrology (22 citations) and Rehabilitation (19 citations). T. Musella has collaborated with scholars based in Italy and United States. Frequent co-authors include Gaetano Lombardi, Libuse Tauchmanovà, Giovanni Ghirlanda, Dario Pitocco, Francesca Silvia Rota, Carolina Di Somma, Annamaria Colao, Francesco Zaccardi, Salvatore Caputo and Carmine Nappi. Their work appears in journals such as Menopause The Journal of The North American Menopause Society, Bone Marrow Transplantation, European Heart Journal, Diabetic Medicine and Diabetes/Metabolism Research and Reviews.

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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