Xiaobing Fang

15 total papers · 463 total citations
11 papers, 352 citations indexed

About

Xiaobing Fang is a scholar working on Dermatology, Physiology and Molecular Biology. According to data from OpenAlex, Xiaobing Fang has authored 11 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Dermatology, 4 papers in Physiology and 3 papers in Molecular Biology. Recurrent topics in Xiaobing Fang's work include Dermatologic Treatments and Research (4 papers), Connective Tissue Growth Factor Research (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Xiaobing Fang is often cited by papers focused on Dermatologic Treatments and Research (4 papers), Connective Tissue Growth Factor Research (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Xiaobing Fang collaborates with scholars based in United States and China. Xiaobing Fang's co-authors include Éric Ravussin, Steven R. Smith, Xiaolong Hu, Hongtao Wang, Weixia Cai, Xiongxiang Zhu, Dahai Hu, Jihong Shi, Xiaozhi Bai and Yaojun Wang and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Biochemical and Biophysical Research Communications.

In The Last Decade

Xiaobing Fang

10 papers receiving 344 citations

Author Peers

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

Author						Papers	Cites
Xiaobing Fang	141	103	80	78	74	11	352
A. Avram	184 1.3×	14 0.1×	55 0.7×	124 1.6×	80 1.1×	9	380
Elisa Grella	140 1.0×	15 0.1×	34 0.4×	147 1.9×	95 1.3×	10	401
Silvia Kurtovic	96 0.7×	36 0.3×	6 0.1×	77 1.0×	58 0.8×	10	328
Jiayi Qiu	119 0.8×	73 0.7×	9 0.1×	34 0.4×	207 2.8×	9	386
Verne C. Lanier	63 0.4×	22 0.2×	48 0.6×	49 0.6×	15 0.2×	11	333
Mollie Donohoe	45 0.3×	124 1.2×	44 0.6×	22 0.3×	70 0.9×	10	386
Margaret L. Shumate	71 0.5×	68 0.7×	5 0.1×	67 0.9×	103 1.4×	18	397
Tomohito Yoshihara	130 0.9×	22 0.2×	106 1.3×	9 0.1×	47 0.6×	13	392
D. Vannereau	31 0.2×	198 1.9×	12 0.1×	14 0.2×	40 0.5×	7	332
Jonas Sokolof	37 0.3×	8 0.1×	56 0.7×	62 0.8×	89 1.2×	10	338

Countries citing papers authored by Xiaobing Fang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaobing Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobing Fang

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