Shufen Cai

55 total papers · 1.0k total citations
11 papers, 751 citations indexed

About

Shufen Cai is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shufen Cai has authored 11 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shufen Cai's work include Ion channel regulation and function (6 papers), Nitric Oxide and Endothelin Effects (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Shufen Cai is often cited by papers focused on Ion channel regulation and function (6 papers), Nitric Oxide and Endothelin Effects (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Shufen Cai collaborates with scholars based in Canada, United States and United Kingdom. Shufen Cai's co-authors include Rémy Sauvé, Alfonso de Dios, Graham N. Wishart, Lawrence M. Gelbert, Edward M. Chan, Rose T. Ajamie, Damien M. Cronier, Concepción Sánchez‐Martínez, Marı́a José Lallena and Miriam Del Prado and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and Anesthesiology.

In The Last Decade

Shufen Cai

11 papers receiving 743 citations

Hit Papers

Preclinical characterizat... 2014 2026 2018 2022 2014 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shufen Cai 460 457 232 129 76 11 751
Byeong-Chel Lee 401 0.9× 171 0.4× 355 1.5× 105 0.8× 107 1.4× 15 875
Andrea H. Epperly 248 0.5× 239 0.5× 371 1.6× 21 0.2× 115 1.5× 11 727
Gaël Genet 146 0.3× 91 0.2× 440 1.9× 135 1.0× 77 1.0× 19 878
Lee Anne McLean 175 0.4× 107 0.2× 421 1.8× 86 0.7× 83 1.1× 12 739
Fabin Dang 241 0.5× 113 0.2× 442 1.9× 25 0.2× 115 1.5× 12 879
Junjeong Choi 254 0.6× 110 0.2× 447 1.9× 79 0.6× 225 3.0× 16 909
B A Usmani 239 0.5× 183 0.4× 317 1.4× 21 0.2× 130 1.7× 18 625
Kiwon Jo 191 0.4× 124 0.3× 418 1.8× 31 0.2× 90 1.2× 10 769
Alicia Zukas 151 0.3× 76 0.2× 168 0.7× 41 0.3× 100 1.3× 21 679
Sabine Paternot 408 0.9× 249 0.5× 386 1.7× 83 0.6× 90 1.2× 19 731

Countries citing papers authored by Shufen Cai

Since Specialization
Citations

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

Fields of papers citing papers by Shufen Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shufen Cai

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

All Works

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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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