Michael T. Sapko

588 total citations
9 papers, 491 citations indexed

About

Michael T. Sapko is a scholar working on Biological Psychiatry, Pharmacology and Social Psychology. According to data from OpenAlex, Michael T. Sapko has authored 9 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biological Psychiatry, 3 papers in Pharmacology and 3 papers in Social Psychology. Recurrent topics in Michael T. Sapko's work include Tryptophan and brain disorders (7 papers), Neuroendocrine regulation and behavior (3 papers) and Treatment of Major Depression (3 papers). Michael T. Sapko is often cited by papers focused on Tryptophan and brain disorders (7 papers), Neuroendocrine regulation and behavior (3 papers) and Treatment of Major Depression (3 papers). Michael T. Sapko collaborates with scholars based in United States, Brazil and Italy. Michael T. Sapko's co-authors include Robert Schwarcz, Paolo Guidetti, Ping Yü, Danilo A. Tagle, Laura Amori, Etsuo Okuno, Roberto Pellicciari, Luis E.F. Almeida, Edna F. R. Pereira and Edson X. Albuquerque and has published in prestigious journals such as Journal of Neuroscience, Molecular and Cellular Biology and Journal of Medicinal Chemistry.

In The Last Decade

Michael T. Sapko

9 papers receiving 483 citations

Peers

Michael T. Sapko
Comparison fields: 5 of 62
  • Biological Psychiatry 355
  • Behavioral Neuroscience 187
  • Psychiatry and Mental health 158
  • Molecular Biology 120
  • Social Psychology 113
Replace Éva Rózsa with:
Éva Rózsa Hungary
Josh Allen Canada
P. Russi Italy
Kyle J. Brymer Canada
Jeffrey K Yao United States
Yuta Ohgi Japan
René Fuertig Germany
Annarita Barone Italy
Aurélie A. Boucher Australia
A. T. Proshin Russia
Éva Rózsa Hungary View profile →
Citations per field, relative to Michael T. Sapko
Michael T. Sapko · 1×
Citations per year, relative to Michael T. Sapko
Michael T. Sapko · 1×

Countries citing papers authored by Michael T. Sapko

Since Specialization
Citations

This map shows the geographic impact of Michael T. Sapko'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 T. Sapko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Sapko more than expected).

Fields of papers citing papers by Michael T. Sapko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael T. Sapko

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 5
2 13
3 3
4
Economic Evaluation in Acupuncture: Past and Future
6
5 132
6 107
7 114
8 69
9 42

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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