Bi‐Fong Lin

2.8k citations
71 papers · 2.2k · h-index 26

Impact in

Papers in

Bi‐Fong Lin

67 papers receiving 2.1k citations

Peers

Bi‐Fong Lin
Comparison fields: 5 of 120
  • Complementary and alternative medicine 580
  • Rheumatology 444
  • Pharmacology 232
  • Biochemistry 129
  • Immunology 334
Replace Kathy K. W. Au-Yeung with:
Kathy K. W. Au-Yeung Hong Kong
Mahaboobkhan Rasool India
Tae‐Yong Shin South Korea
Seung‐Hyung Kim South Korea
Tânia Sílvia Fröde Brazil
Chong‐Kuei Lii Taiwan
Susana Sánchez‐Fidalgo Spain
Norio Nakamura Japan
Bi‐Fong Lin relative to Kathy K. W. Au-Yeung Hong Kong Kathy K. W. Au-Yeung's profile →
Citations per field
00.5×
Kathy K. W. Au-Yeung · 1×
Citations per year

Countries citing papers authored by Bi‐Fong Lin

Since Specialization
Citations

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

Fields of papers citing papers by Bi‐Fong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bi‐Fong Lin. 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 Bi‐Fong Lin. The network helps show where Bi‐Fong Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Bi‐Fong Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bi‐Fong Lin Line = papers co-authored together Bi‐Fong Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010297
2 2011128
3 2010126
4 199386
5 200884
6 200880
7 200976
8 200874
9 201073
10 200270
11 200469
12 200068
13 199368
14 201052
15 200349
16 200942
17
Association of B vitamins status and homocysteine levels in elderly Taiwanese.
200542
18 199641
19 200038
20 199438

About Bi‐Fong Lin

Bi‐Fong Lin is a scholar working on Molecular Biology, Rheumatology, Immunology, Complementary and alternative medicine and Surgery, having authored 71 papers that have together received 2.2k indexed citations. Recurring topics across this work include Folate and B Vitamins Research (13 papers), Fungal Biology and Applications (6 papers), Andrographolide Research and Applications (6 papers), Fatty Acid Research and Health (5 papers), Ginseng Biological Effects and Applications (5 papers), GABA and Rice Research (5 papers), Cholesterol and Lipid Metabolism (5 papers) and Allergic Rhinitis and Sensitization (4 papers). The work is most often cited by research in Complementary and alternative medicine (580 citations), Rheumatology (444 citations), Pharmacology (232 citations), Biochemistry (129 citations) and Immunology (334 citations). Bi‐Fong Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Wen‐Wan Chao, Yueh‐Hsiung Kuo, Miaw‐Ling Chen, Bor‐Luen Chiang, Barry Shane, Jin‐Yuarn Lin, Yong‐Han Hong, Chia‐Chien Hsieh, Wen‐Harn Pan and Kuan‐Ju Chen. Their work appears in journals such as Journal of Agricultural and Food Chemistry, British Journal Of Nutrition, Evidence-based Complementary and Alternative Medicine, Journal of Food and Drug Analysis and Journal of Biological Chemistry.

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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