Kai Cai

74 total papers · 1.6k total citations
40 papers, 1.2k citations indexed

About

Kai Cai is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment and Inorganic Chemistry. According to data from OpenAlex, Kai Cai has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Renewable Energy, Sustainability and the Environment and 8 papers in Inorganic Chemistry. Recurrent topics in Kai Cai's work include Metalloenzymes and iron-sulfur proteins (10 papers), Metal-Organic Frameworks: Synthesis and Applications (6 papers) and Magnetism in coordination complexes (5 papers). Kai Cai is often cited by papers focused on Metalloenzymes and iron-sulfur proteins (10 papers), Metal-Organic Frameworks: Synthesis and Applications (6 papers) and Magnetism in coordination complexes (5 papers). Kai Cai collaborates with scholars based in United States, China and Japan. Kai Cai's co-authors include John L. Markley, Ronnie O. Frederick, Marco Tonelli, Wei‐Yin Sun, Zhi Su, Jin Hae Kim, Man Chen, Guillaume Kugener, Nora Kory and Susan Lindquist and has published in prestigious journals such as Chemical Reviews, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Kai Cai

37 papers receiving 1.2k citations

Hit Papers

Mitochondrial metabolism ... 2019 2026 2021 2023 2019 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
Kai Cai 582 261 248 226 199 40 1.2k
Christopher J. Carrell 606 1.0× 147 0.6× 256 1.0× 51 0.2× 103 0.5× 29 1.1k
Marie‐Pierre Golinelli‐Cohen 707 1.2× 400 1.5× 160 0.6× 105 0.5× 69 0.3× 48 1.2k
Satoshi Sakamoto 642 1.1× 109 0.4× 90 0.4× 40 0.2× 102 0.5× 77 1.4k
Richard K. Watt 465 0.8× 114 0.4× 53 0.2× 320 1.4× 27 0.1× 46 1.2k
Shuhei Yasuda 295 0.5× 157 0.6× 141 0.6× 101 0.4× 66 0.3× 75 1.2k
Devkumar Mustafi 342 0.6× 25 0.1× 193 0.8× 42 0.2× 133 0.7× 74 1.1k
Tai‐Yen Chen 296 0.5× 209 0.8× 33 0.1× 139 0.6× 62 0.3× 35 975
M.A. Pearson 537 0.9× 68 0.3× 223 0.9× 27 0.1× 328 1.6× 17 1.3k
Yoshihisa Namiki 482 0.8× 38 0.1× 69 0.3× 20 0.1× 244 1.2× 43 1.4k
Haochen Yu 467 0.8× 130 0.5× 19 0.1× 26 0.1× 198 1.0× 54 1.2k

Countries citing papers authored by Kai Cai

Since Specialization
Citations

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

Fields of papers citing papers by Kai Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Cai. A scholar is included among the top collaborators of Kai 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 Kai Cai. Kai 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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