Feng Lin

75 papers receiving 2.1k citations

Peers

Feng Lin
Comparison fields: 5 of 130
  • Public Health, Environmental and Occupational Health 654
  • Microbiology 143
  • Biotechnology 194
  • Immunology 309
  • Occupational Therapy 40
Replace G. Frank Gerberick with:
G. Frank Gerberick United States
Peter M. Elias United States
Sanja Kežić Netherlands
H.C. Korting Germany
Michael K. Robinson United States
Birgit Hofmann Germany
Yuko Naito Japan
Gi‐eun Rhie South Korea
Nicole K. Brogden United States
Meiling Chen China
Feng Lin relative to G. Frank Gerberick United States G. Frank Gerberick's profile →
Citations per field
00.5×4.0×
G. Frank Gerberick · 1×
Citations per year

Countries citing papers authored by Feng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Feng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012249
2 2005132
3 2009116
4 200591
5 200286
6 200985
7 200581
8 200676
9 200666
10 200858
11 200857
12 201055
13 200652
14 200750
15 201147
16 200846
17 200646
18 201446
19 201245
20 202242

About Feng Lin

Feng Lin is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Immunology, Biotechnology and Epidemiology, having authored 78 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pregnancy-related medical research (20 papers), Toxin Mechanisms and Immunotoxins (7 papers), Transgenic Plants and Applications (7 papers), Microbial Inactivation Methods (7 papers), Glycosylation and Glycoproteins Research (6 papers), Carbohydrate Chemistry and Synthesis (4 papers), Corneal surgery and disorders (4 papers) and Natural product bioactivities and synthesis (4 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (654 citations), Microbiology (143 citations), Biotechnology (194 citations), Immunology (309 citations) and Occupational Therapy (40 citations). Feng Lin has collaborated with scholars based in Australia, China and United States. Frequent co-authors include John D. Wade, Mohammed Akhter Hossain, Ross A. D. Bathgate, Geoffrey W. Tregear, Suode Zhang, Niranjan Y. Sardesai, Kate E. Broderick, Fazel Shabanpoor, Amir Sada Khan and Jian Yan. Their work appears in journals such as Bioconjugate Chemistry, Annals of the New York Academy of Sciences, Journal of Medicinal Chemistry, Carbohydrate Research 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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