Michael R. Tota

38 papers receiving 2.9k citations

Hit Papers

STRUCTURE AND FUNCTION OF G PROTEIN-COUPLED RECEPTORS19942026200420151994250500750

Peers

Michael R. Tota
Comparison fields: 5 of 106
  • Molecular Biology 1.7k
  • Endocrine and Autonomic Systems 916
  • Cellular and Molecular Neuroscience 899
  • Nutrition and Dietetics 825
  • Physiology 335
Replace Yumiko Saito with:
Yumiko Saito Japan
Jean‐Louis Banères France
Mohammed Akli Ayoub United Arab Emirates
Jean‐Luc Fauchère France
Thomas M. Frimurer Denmark
Hisato Jingami Japan
Thomas M. Laz United States
Ulla Ribel Denmark
Brian C. Wilkes Canada
Ralph Laufer Italy
Michael R. Tota relative to Yumiko Saito Japan Yumiko Saito's profile →
Citations per field
00.5×1.5×
Yumiko Saito · 1×
Citations per year

Countries citing papers authored by Michael R. Tota

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Tota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R. Tota. 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 Michael R. Tota. The network helps show where Michael R. Tota may publish in the future.

Co-authorship network of co-authors of Michael R. Tota

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Tota. A scholar is included among the top collaborators of Michael R. Tota 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 Michael R. Tota. Michael R. Tota 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
#WorkIndexed citations
1 23
2 37
3
Kinetic analysis of the fatty acid synthesis pathway in HCT-116 colon cancer cells: role of FAS and ACC1 in maintaining tumor cell viability and proliferation
2
4 42
5 50
6 7
7 2
8 28
9 7
10 46
11 54
12 113
13 181
14 8
15 6
16 9
17 27
18
STRUCTURE AND FUNCTION OF G PROTEIN-COUPLED RECEPTORSbreakdown →
898
19 19
20 47

About Michael R. Tota

Michael R. Tota is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 3.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (14 papers), Biochemical Analysis and Sensing Techniques (13 papers) and Regulation of Appetite and Obesity (12 papers). The work is most often cited by research in Endocrine and Autonomic Systems (916 citations), Nutrition and Dietetics (825 citations) and Cellular and Molecular Neuroscience (899 citations). Michael R. Tota has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Tung M. Fong, Catherine D. Strader, Richard A. F. Dixon, Dennis Underwood, Lex H.T. Van der Ploeg, Tanya MacNeil, Michael I. Schimerlik, David H. Weinberg, Caroline Chung and Rubana N. Kalyani. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Annual Review of Biochemistry.

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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