Hong Kan

41 total papers · 461 total citations
30 papers, 344 citations indexed

About

Hong Kan is a scholar working on Molecular Biology, Pharmacology and Complementary and alternative medicine. According to data from OpenAlex, Hong Kan has authored 30 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Pharmacology and 4 papers in Complementary and alternative medicine. Recurrent topics in Hong Kan's work include Traditional Chinese Medicine Analysis (4 papers), Wound Healing and Treatments (3 papers) and Nanoplatforms for cancer theranostics (3 papers). Hong Kan is often cited by papers focused on Traditional Chinese Medicine Analysis (4 papers), Wound Healing and Treatments (3 papers) and Nanoplatforms for cancer theranostics (3 papers). Hong Kan collaborates with scholars based in China, United States and Taiwan. Hong Kan's co-authors include Grace Y. Sun, James C. S. Ho, Shuqi Mao, Zhongying Liu, Wenyue Jiang, Pengdong Li, Toshio Kajiuchi, S. Yamada, T. Yoshizawa and Shihan Wang and has published in prestigious journals such as The FASEB Journal, International Journal of Molecular Sciences and Carbohydrate Polymers.

In The Last Decade

Hong Kan

28 papers receiving 335 citations

Author Peers

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

Author						Papers	Cites
Hong Kan	102	44	44	41	34	30	344
Jingna Zhou	121 1.2×	13 0.3×	77 1.8×	48 1.2×	32 0.9×	20	372
G. Jayakumar	136 1.3×	24 0.5×	47 1.1×	94 2.3×	30 0.9×	30	369
Nabeela Ameer	90 0.9×	50 1.1×	51 1.2×	61 1.5×	36 1.1×	23	392
Guiquan Jiang	92 0.9×	30 0.7×	43 1.0×	59 1.4×	77 2.3×	33	390
Lihang Chen	101 1.0×	20 0.5×	66 1.5×	46 1.1×	26 0.8×	27	376
Endurance Fegor Isoje	84 0.8×	18 0.4×	111 2.5×	86 2.1×	40 1.2×	38	397
Galila A. Yacout	61 0.6×	81 1.8×	30 0.7×	57 1.4×	18 0.5×	25	383
Virender Kumar	104 1.0×	66 1.5×	40 0.9×	54 1.3×	38 1.1×	54	396
Run-Ze Hu	65 0.6×	23 0.5×	58 1.3×	96 2.3×	42 1.2×	18	321
Abu Asad Chowdhury	118 1.2×	17 0.4×	36 0.8×	63 1.5×	34 1.0×	54	381

Countries citing papers authored by Hong Kan

Since Specialization

Citations

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

Fields of papers citing papers by Hong Kan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Kan

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