Hongtan Wu

30 total papers · 1.3k total citations
21 papers, 605 citations indexed

About

Hongtan Wu is a scholar working on Molecular Biology, Cell Biology and Pharmacology. According to data from OpenAlex, Hongtan Wu has authored 21 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cell Biology and 4 papers in Pharmacology. Recurrent topics in Hongtan Wu's work include melanin and skin pigmentation (6 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Skin Protection and Aging (3 papers). Hongtan Wu is often cited by papers focused on melanin and skin pigmentation (6 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Skin Protection and Aging (3 papers). Hongtan Wu collaborates with scholars based in China, Taiwan and United States. Hongtan Wu's co-authors include Dawang Zhou, Yongyou Zhang, Joseph Avruch, Earl Lawrence, Evan Barry, Yi Yin, Joseph Willis, Fernando D. Camargo, Dawn Dawson and Sanford D. Markowitz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Food Chemistry.

In The Last Decade

Hongtan Wu

18 papers receiving 601 citations

Author Peers

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

Author						Papers	Cites
Hongtan Wu	351	333	68	54	40	21	605
Mohamed E. Abdraboh	81 0.2×	279 0.8×	140 2.1×	35 0.6×	36 0.9×	23	565
Yohtaro Katagata	184 0.5×	217 0.7×	57 0.8×	14 0.3×	49 1.2×	40	689
Sun‐Nyoung Yu	58 0.2×	380 1.1×	110 1.6×	45 0.8×	49 1.2×	27	652
Eun‐Chung Jhee	76 0.2×	300 0.9×	38 0.6×	38 0.7×	115 2.9×	20	590
Kazuto Ohashi	108 0.3×	256 0.8×	35 0.5×	13 0.2×	41 1.0×	15	502
Gi‐Ok Kim	57 0.2×	207 0.6×	52 0.8×	46 0.9×	85 2.1×	32	634
Chao‐Neng Tseng	59 0.2×	384 1.2×	53 0.8×	29 0.5×	63 1.6×	29	683
Li Lei	149 0.4×	239 0.7×	28 0.4×	29 0.5×	20 0.5×	22	569
C. Poort	179 0.5×	283 0.8×	26 0.4×	8 0.1×	22 0.6×	33	576
C. A. Landa	94 0.3×	430 1.3×	27 0.4×	24 0.4×	29 0.7×	31	696

Countries citing papers authored by Hongtan Wu

Since Specialization

Citations

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

Fields of papers citing papers by Hongtan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongtan Wu

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