De-hong Cai

67 total papers · 446 total citations
29 papers, 353 citations indexed

About

De-hong Cai is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, De-hong Cai has authored 29 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Surgery. Recurrent topics in De-hong Cai's work include Pancreatic function and diabetes (8 papers), Metabolism, Diabetes, and Cancer (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). De-hong Cai is often cited by papers focused on Pancreatic function and diabetes (8 papers), Metabolism, Diabetes, and Cancer (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). De-hong Cai collaborates with scholars based in China and United States. De-hong Cai's co-authors include Rongping Chen, Jia Sun, Jiao Wang, Jiali Chen, Li Li, Hong Chen, Rui Yang, Hong Chen, Hua Zhang and Hua Zhang and has published in prestigious journals such as PLoS ONE, Gene and BMC Public Health.

In The Last Decade

De-hong Cai

27 papers receiving 345 citations

Author Peers

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

Author						Papers	Cites
De-hong Cai	157	83	70	69	47	29	353
Akizuki Morikawa	211 1.3×	67 0.8×	36 0.5×	150 2.2×	53 1.1×	31	385
Mingxia Yuan	112 0.7×	66 0.8×	47 0.7×	59 0.9×	24 0.5×	27	353
Marc Gregory Yu	138 0.9×	86 1.0×	61 0.9×	91 1.3×	25 0.5×	32	360
Akio Ohta	185 1.2×	65 0.8×	52 0.7×	90 1.3×	24 0.5×	20	362
Amita Dasmahapatra	182 1.2×	71 0.9×	60 0.9×	76 1.1×	41 0.9×	19	400
Giuseppe Bellini	117 0.7×	52 0.6×	71 1.0×	21 0.3×	31 0.7×	22	337
Juming Lu	211 1.3×	70 0.8×	83 1.2×	73 1.1×	16 0.3×	45	364
Jun Lu	55 0.4×	83 1.0×	63 0.9×	47 0.7×	20 0.4×	19	326
A.W. Patrick	185 1.2×	22 0.3×	38 0.5×	60 0.9×	62 1.3×	18	349
Tetsutaro Matayoshi	104 0.7×	83 1.0×	49 0.7×	49 0.7×	41 0.9×	25	402

Countries citing papers authored by De-hong Cai

Since Specialization

Citations

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

Fields of papers citing papers by De-hong Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of De-hong Cai

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