Salvatore Sciacchitano

4.6k citations
90 papers · 3.0k · h-index 29

Impact in

Papers in

Salvatore Sciacchitano

87 papers receiving 2.9k citations

Peers

Salvatore Sciacchitano
Comparison fields: 5 of 140
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Immunology 434
  • Surgery 697
  • Molecular Biology 956
  • Oncology 323
Replace Toshiji Saibara with:
Toshiji Saibara Japan
Shin‐ichi Harashima Japan
Ivan Gerling United States
Nancy E. Stagliano United States
Lisa R. Tannock United States
Adam E. Mullick United States
Steven J. Adelman United States
Roger Foo Singapore
Ken‐ichi Aihara Japan
Ali J. Marian United States
Salvatore Sciacchitano relative to Toshiji Saibara Japan Toshiji Saibara's profile →
Citations per field
00.5×1.7×
Toshiji Saibara · 1×
Citations per year

Countries citing papers authored by Salvatore Sciacchitano

Since Specialization
Citations

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

Fields of papers citing papers by Salvatore Sciacchitano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000414
2 1998384
3 2018277
4 2005122
5 2011100
6 200687
7 199773
8 201569
9 200062
10 199953
11 202153
12 199752
13 201651
14 201745
15 200644
16 199743
17 200438
18 200037
19 202135
20 200535

About Salvatore Sciacchitano

Salvatore Sciacchitano is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Immunology and Genetics, having authored 90 papers that have together received 3.0k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (22 papers), Galectins and Cancer Biology (11 papers), Thyroid Disorders and Treatments (10 papers), Metabolism, Diabetes, and Cancer (9 papers), Pancreatic function and diabetes (7 papers), Estrogen and related hormone effects (4 papers), COVID-19 Clinical Research Studies (4 papers) and BRCA gene mutations in cancer (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Immunology (434 citations), Surgery (697 citations), Molecular Biology (956 citations) and Oncology (323 citations). Salvatore Sciacchitano has collaborated with scholars based in Italy, Sweden and United States. Frequent co-authors include D Danese, Alfredo Pontecorvi, Antonella Farsetti, Mario Andreoli, Luca Lavra, Alessandra Ulivieri, Simeon I. Taylor, Armando Bartolazzi, Alberto Rícci and Carlo Bellotti. Their work appears in journals such as Molecular Endocrinology, Maturitas, International Journal of Molecular Sciences, British Journal of Cancer and The Journal of Pathology.

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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