Kai‐Fu Chang

52 total papers · 517 total citations
38 papers, 362 citations indexed

About

Kai‐Fu Chang is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Kai‐Fu Chang has authored 38 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Immunology. Recurrent topics in Kai‐Fu Chang's work include Cancer-related Molecular Pathways (8 papers), Biological Activity of Diterpenoids and Biflavonoids (7 papers) and Cancer, Lipids, and Metabolism (7 papers). Kai‐Fu Chang is often cited by papers focused on Cancer-related Molecular Pathways (8 papers), Biological Activity of Diterpenoids and Biflavonoids (7 papers) and Cancer, Lipids, and Metabolism (7 papers). Kai‐Fu Chang collaborates with scholars based in Taiwan, United States and India. Kai‐Fu Chang's co-authors include Nu‐Man Tsai, Shan‐Chih Lee, Chih‐Yen Hsiao, Kuang‐Wen Liao, Jun‐Cheng Weng, Jinghua Tsai Chang, Yu‐Ling Lin, Ming‐Chang Hsieh, Gwo‐Tarng Sheu and Ju‐Huei Chien and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Tetrahedron.

In The Last Decade

Kai‐Fu Chang

35 papers receiving 357 citations

Author Peers

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

Author						Papers	Cites
Kai‐Fu Chang	191	51	46	42	40	38	362
Leila Mohammadnejad	151 0.8×	64 1.3×	34 0.7×	28 0.7×	34 0.8×	30	325
Chao Li	196 1.0×	64 1.3×	29 0.6×	24 0.6×	27 0.7×	36	387
Kyoung Jin Nho	187 1.0×	58 1.1×	25 0.5×	32 0.8×	44 1.1×	21	352
Zhouwei Wu	123 0.6×	59 1.2×	46 1.0×	27 0.6×	19 0.5×	27	315
Jitender Monga	151 0.8×	55 1.1×	49 1.1×	59 1.4×	28 0.7×	28	402
Nagaraj M. Kulkarni	149 0.8×	41 0.8×	57 1.2×	36 0.9×	26 0.7×	19	403
Yiyi Ye	205 1.1×	71 1.4×	44 1.0×	86 2.0×	46 1.1×	17	393
Biswajit Das	174 0.9×	48 0.9×	25 0.5×	97 2.3×	43 1.1×	30	358
Wan Gong	232 1.2×	34 0.7×	39 0.8×	45 1.1×	42 1.1×	22	402
Yi Wang	168 0.9×	76 1.5×	27 0.6×	68 1.6×	17 0.4×	28	368

Countries citing papers authored by Kai‐Fu Chang

Since Specialization

Citations

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

Fields of papers citing papers by Kai‐Fu Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai‐Fu Chang

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