Moises Di Sante

2.0k total citations
19 papers, 1.3k citations indexed

About

Moises Di Sante is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Moises Di Sante has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Surgery. Recurrent topics in Moises Di Sante's work include Mitochondrial Function and Pathology (4 papers), Reproductive Biology and Fertility (2 papers) and ATP Synthase and ATPases Research (2 papers). Moises Di Sante is often cited by papers focused on Mitochondrial Function and Pathology (4 papers), Reproductive Biology and Fertility (2 papers) and ATP Synthase and ATPases Research (2 papers). Moises Di Sante collaborates with scholars based in Italy, United States and United Kingdom. Moises Di Sante's co-authors include Stefano Fiorucci, Barbara Renga, Giovanni Rizzo, Andrea Mencarelli, Nina Kaludercic, Fabio Di Lisa, Soni Deshwal, Stefano Bruscoli, Carlo Riccardi and John L. Wallace and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Gastroenterology.

In The Last Decade

Moises Di Sante

18 papers receiving 1.2k citations

Peers

Moises Di Sante
Comparison fields: 5 of 109
  • Molecular Biology 442
  • Biochemistry 321
  • Physiology 268
  • Immunology 196
  • Oncology 141
Replace Hong Xin with:
Hong Xin China
Teresa Iantomasi Italy
Xu Cao China
Sonia R. Salvatore United States
Margherita Gallicchio Italy
Limei Liu China
Chie Morimoto Japan
Reiko Matsui United States
Gustavo Bonacci United States
Hong Xin China View profile →
Citations per field, relative to Moises Di Sante
Moises Di Sante · 1×
Citations per year, relative to Moises Di Sante
Moises Di Sante · 1×

Countries citing papers authored by Moises Di Sante

Since Specialization
Citations

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

Fields of papers citing papers by Moises Di Sante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moises Di Sante. 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 Moises Di Sante. The network helps show where Moises Di Sante may publish in the future.

Co-authorship network of co-authors of Moises Di Sante

This figure shows the co-authorship network connecting the top 25 collaborators of Moises Di Sante. A scholar is included among the top collaborators of Moises Di Sante based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Moises Di Sante. Moises Di Sante is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 17
3 17
4 90
5 43
6 31
7 37
8 23
9 21
10 58
11 88
12 27
13 102
14 13
15 68
16 59
17 82
18 135
19 360

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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