Anthony S. Liotta

4.1k total citations
48 papers, 3.3k citations indexed

About

Anthony S. Liotta is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, Anthony S. Liotta has authored 48 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cellular and Molecular Neuroscience, 22 papers in Molecular Biology and 15 papers in Behavioral Neuroscience. Recurrent topics in Anthony S. Liotta's work include Neuropeptides and Animal Physiology (27 papers), Receptor Mechanisms and Signaling (17 papers) and Stress Responses and Cortisol (15 papers). Anthony S. Liotta is often cited by papers focused on Neuropeptides and Animal Physiology (27 papers), Receptor Mechanisms and Signaling (17 papers) and Stress Responses and Cortisol (15 papers). Anthony S. Liotta collaborates with scholars based in United States, Canada and Hungary. Anthony S. Liotta's co-authors include Dorothy T. Krieger, Andrew N. Margioris, Michael Brownstein, M J Brownstein, C. Wayne Bardin, Earl A. Zimmerman, Atsushi Sasaki, Toshihiro Suda, Jesse Roth and John S. Kizer and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Anthony S. Liotta

48 papers receiving 3.1k citations

Peers

Anthony S. Liotta
Comparison fields: 5 of 105
  • Cellular and Molecular Neuroscience 1.5k
  • Molecular Biology 1.1k
  • Behavioral Neuroscience 859
  • Endocrinology, Diabetes and Metabolism 841
  • Reproductive Medicine 736
Replace L. Krulich with:
L. Krulich United States
Luciano Martini Italy
S. M. McCann United States
P. J. Lowry United Kingdom
Paul C. Goldsmith United States
Sylvie Jégou France
Carl Denef Belgium
B. Kanyicska Hungary
Catherine Delarue France
Wylie Vale United States
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Citations per field, relative to Anthony S. Liotta
Anthony S. Liotta · 1×
Citations per year, relative to Anthony S. Liotta
Anthony S. Liotta · 1×

Countries citing papers authored by Anthony S. Liotta

Since Specialization
Citations

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

Fields of papers citing papers by Anthony S. Liotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony S. Liotta. 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 Anthony S. Liotta. The network helps show where Anthony S. Liotta may publish in the future.

Co-authorship network of co-authors of Anthony S. Liotta

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony S. Liotta. A scholar is included among the top collaborators of Anthony S. Liotta 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 Anthony S. Liotta. Anthony S. Liotta 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 17
2 29
3 78
4 59
5 64
6 101
7 77
8
The hormonal and cellular control of Sertoli cell secretion.
116
9 161
10 131
11 112
12 95
13 9
14 80
15 60
16 59
17 74
18 82
19 8
20 66

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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