T. Musella

499 citations
14 papers · 390 · h-index 10

Impact in

Papers in

T. Musella

14 papers receiving 383 citations

Peers

T. Musella
Comparison fields: 5 of 55
  • Endocrinology, Diabetes and Metabolism 146
  • Orthopedics and Sports Medicine 60
  • Nephrology 21
  • Oncology 64
  • Rehabilitation 13
Replace Maria Caroline Alves Coelho with:
Maria Caroline Alves Coelho Brazil
F Bianchi Canada
Monica Nuzzo Italy
Constantinos Panoulis Greece
YOSHIHARU KANAJI Pakistan
Karina Danilowicz Argentina
R Rapisarda Italy
Akira Sata Japan
Tena K. Li Hong Kong
P. Geusens Belgium
T. Musella relative to Maria Caroline Alves Coelho Brazil Maria Caroline Alves Coelho's profile →
Citations per field
00.5×10×13×
Maria Caroline Alves Coelho · 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 200627
7 200824
8 201123
9 200515
10 200611
11 20148
12 20107
13 20114
14 20084

About T. Musella

T. Musella is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology and Surgery, having authored 14 papers that have together received 390 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (2 papers), Cardiovascular Function and Risk Factors (2 papers), Bone health and treatments (2 papers), Bone health and osteoporosis research (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Thyroid Disorders and Treatments (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers) and Bone and Joint Diseases (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (146 citations), Orthopedics and Sports Medicine (60 citations), Nephrology (21 citations), Oncology (64 citations) and Rehabilitation (13 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, Carolina Di Somma, Francesca Silvia Rota, Annamaria Colao, Francesco Zaccardi, Carmine Nappi and Maria Cristina Savanelli. Their work appears in journals such as Diabetes Care, Bone Marrow Transplantation, Diabetic Medicine, Diabetes/Metabolism Research and Reviews and Clinical Science.

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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