Sufan Lin

35 papers receiving 756 citations

Peers

Sufan Lin
Comparison fields: 5 of 82
  • Obstetrics and Gynecology 141
  • Pediatrics, Perinatology and Child Health 297
  • Biological Psychiatry 29
  • Physiology 259
  • Biochemistry 59
Replace M. A. Darenskaya with:
M. A. Darenskaya Russia
Olimpia Carreras Spain
Mehmet Ramazan Şekeroğlu Türkiye
Maryam Chamani Iran
Giacoma Di Vieste Italy
Aníbal Sanchez Moura Brazil
Katherine H. Ingram United States
L IGNARRO United States
Liliane Dubourg France
Blanca Puchau Spain
Sufan Lin relative to M. A. Darenskaya Russia M. A. Darenskaya's profile →
Citations per field
00.5×1.5×2.4×
M. A. Darenskaya · 1×
Citations per year

Countries citing papers authored by Sufan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Sufan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sufan 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 Sufan Lin Line = papers co-authored together Sufan Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201977
2 202155
3 202047
4 202046
5 202245
6 202045
7 202241
8 201839
9 202039
10 202137
11 202228
12 202324
13 202021
14 202219
15 201419
16 202117
17 202317
18 202017
19 202316
20 202116

About Sufan Lin

Sufan Lin is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Public Health, Environmental and Occupational Health, Physiology and Obstetrics and Gynecology, having authored 36 papers that have together received 761 indexed citations. Recurring topics across this work include Birth, Development, and Health (15 papers), Gut microbiota and health (9 papers), Diet and metabolism studies (8 papers), Nutritional Studies and Diet (6 papers), Gestational Diabetes Research and Management (6 papers), Sulfur Compounds in Biology (4 papers), Diet, Metabolism, and Disease (3 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Obstetrics and Gynecology (141 citations), Pediatrics, Perinatology and Child Health (297 citations), Biological Psychiatry (29 citations), Physiology (259 citations) and Biochemistry (59 citations). Sufan Lin has collaborated with scholars based in Taiwan, China and Yemen. Frequent co-authors include Guo‐Ping Chang‐Chien, Chien‐Ning Hsu, You‐Lin Tain, Chih‐Yao Hou, Hung‐Wei Yang, Pei‐Chen Lu, Julie Y.H. Chan, Hong‐Ren Yu, I-Chun Lin and Chien‐Te Lee. Their work appears in journals such as Antioxidants, International Journal of Molecular Sciences, Nutrients, Forensic Science International and Medicine & Science in Sports & Exercise.

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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