C P Python

11 papers and 1.0k indexed citations i.

About

C P Python is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, C P Python has authored 11 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in C P Python’s work include Hormonal Regulation and Hypertension (6 papers), Receptor Mechanisms and Signaling (4 papers) and Ion channel regulation and function (4 papers). C P Python is often cited by papers focused on Hormonal Regulation and Hypertension (6 papers), Receptor Mechanisms and Signaling (4 papers) and Ion channel regulation and function (4 papers). C P Python collaborates with scholars based in Switzerland, United States and Japan. C P Python's co-authors include David E. Levin, Yoshikazu Ohya, Yasuhiro Anraku, Hiroshi Qadota, Michel B. Vallotton, Michel F. Rossier, A M Capponi, Yoshiaki Kamada, Mikio Arisawa and Yi Zheng and has published in prestigious journals such as Science, Journal of Biological Chemistry and Biochemical Journal.

In The Last Decade

Co-authorship network of co-authors of C P Python i

Fields of papers citing papers by C P Python

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C P Python. 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 C P Python. The network helps show where C P Python may publish in the future.

Countries citing papers authored by C P Python

Since Specialization
Citations

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

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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2025