Hsia‐Fen Hsu

24 total papers · 559 total citations
21 papers, 467 citations indexed

About

Hsia‐Fen Hsu is a scholar working on Molecular Biology, Plant Science and Immunology. According to data from OpenAlex, Hsia‐Fen Hsu has authored 21 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Plant Science and 4 papers in Immunology. Recurrent topics in Hsia‐Fen Hsu's work include Natural product bioactivities and synthesis (7 papers), Bone Metabolism and Diseases (3 papers) and Plant Toxicity and Pharmacological Properties (3 papers). Hsia‐Fen Hsu is often cited by papers focused on Natural product bioactivities and synthesis (7 papers), Bone Metabolism and Diseases (3 papers) and Plant Toxicity and Pharmacological Properties (3 papers). Hsia‐Fen Hsu collaborates with scholars based in Taiwan, United States and Macao. Hsia‐Fen Hsu's co-authors include Jer‐Yiing Houng, Yan‐Hwa Chu, Chi‐Chang Chang, Shu‐Jiau Chiou, Chao-Ping Wang, Yu‐Duan Tsai, Kuo‐Hung Huang, Chao‐Ping Wang, Ming‐Tsai Liang and Chih‐Yu Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Molecules.

In The Last Decade

Hsia‐Fen Hsu

21 papers receiving 453 citations

Author Peers

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

Author						Papers	Cites
Hsia‐Fen Hsu	158	101	98	83	65	21	467
P. Vidjaya Letchoumy	210 1.3×	51 0.5×	89 0.9×	39 0.5×	40 0.6×	12	421
Xiaotao Huang	205 1.3×	24 0.2×	81 0.8×	121 1.5×	41 0.6×	26	489
Chinmay K. Panda	218 1.4×	85 0.8×	32 0.3×	120 1.4×	42 0.6×	18	459
Arkadiusz Czerwonka	191 1.2×	43 0.4×	53 0.5×	137 1.7×	34 0.5×	30	510
Yaoxian Wang	238 1.5×	58 0.6×	105 1.1×	55 0.7×	34 0.5×	18	508
Mitsuko Nonaka	180 1.1×	75 0.7×	65 0.7×	28 0.3×	26 0.4×	15	470
Qiuxia Lu	170 1.1×	33 0.3×	113 1.2×	39 0.5×	36 0.6×	28	442
D Prathiba	173 1.1×	61 0.6×	43 0.4×	68 0.8×	39 0.6×	29	429
Weilong Lin	142 0.9×	76 0.8×	100 1.0×	31 0.4×	32 0.5×	29	417
Hsin-Yi Lo	196 1.2×	17 0.2×	37 0.4×	78 0.9×	27 0.4×	13	528

Countries citing papers authored by Hsia‐Fen Hsu

Since Specialization

Citations

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

Fields of papers citing papers by Hsia‐Fen Hsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsia‐Fen Hsu. 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 Hsia‐Fen Hsu. The network helps show where Hsia‐Fen Hsu may publish in the future.

Co-authorship network of co-authors of Hsia‐Fen Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Hsia‐Fen Hsu. A scholar is included among the top collaborators of Hsia‐Fen Hsu 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 Hsia‐Fen Hsu. Hsia‐Fen Hsu 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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