Mario Ascoli

8.6k total citations · 2 hit papers
145 papers, 7.1k citations indexed

About

Mario Ascoli is a scholar working on Molecular Biology, Reproductive Medicine and Genetics. According to data from OpenAlex, Mario Ascoli has authored 145 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 49 papers in Reproductive Medicine and 38 papers in Genetics. Recurrent topics in Mario Ascoli's work include Receptor Mechanisms and Signaling (45 papers), Hypothalamic control of reproductive hormones (39 papers) and Estrogen and related hormone effects (35 papers). Mario Ascoli is often cited by papers focused on Receptor Mechanisms and Signaling (45 papers), Hypothalamic control of reproductive hormones (39 papers) and Estrogen and related hormone effects (35 papers). Mario Ascoli collaborates with scholars based in United States, Italy and Germany. Mario Ascoli's co-authors include Deborah L. Segaloff, David Puett, Francesca Fanelli, Colette Galet, R. William Hipkin, Xuebo Liu, Takashi Hirakawa, Koji Shiraishi, Kazuto Nakamura and Jesús Sánchez‐Yagüe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Mario Ascoli

144 papers receiving 6.8k citations

Hit Papers

The Lutropin/Choriogonadotropin Receptor, A 20... 1981 2026 1996 2011 2002 1981 200 400 600

Peers

Mario Ascoli
Comparison fields: 5 of 103
  • Molecular Biology 3.7k
  • Reproductive Medicine 2.9k
  • Genetics 1.7k
  • Cellular and Molecular Neuroscience 1.3k
  • Public Health, Environmental and Occupational Health 1.2k
Replace Deborah L. Segaloff with:
Deborah L. Segaloff United States
Micheline Misrahi France
Mary Hunzicker-Dunn United States
John S. Davis United States
John J. Peluso United States
Chon‐Hwa Tsai‐Morris United States
Martti Parvinen Finland
Sietse Mosselman Netherlands
M. Atger France
Eugenia H. Goulding United States
Deborah L. Segaloff United States View profile →
Citations per field, relative to Mario Ascoli
Mario Ascoli · 1×
Citations per year, relative to Mario Ascoli
Mario Ascoli · 1×

Countries citing papers authored by Mario Ascoli

Since Specialization
Citations

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

Fields of papers citing papers by Mario Ascoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Ascoli

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Ascoli. A scholar is included among the top collaborators of Mario Ascoli 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 Mario Ascoli. Mario Ascoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 73
3 24
4 11
5 43
6 29
7 28
8 53
9 56
10 44
11 19
12 50
13 45
14 44
15 29
16 50
17 19
18 50
19 18
20 23

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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