Feng Lin

73 papers receiving 2.0k citations

Peers

Feng Lin
Comparison fields: 5 of 128
  • Microbiology 149
  • Biotechnology 200
  • Public Health, Environmental and Occupational Health 568
  • Virology 78
  • Immunology 344
Replace Laura de Oliveira Nascimento with:
Laura de Oliveira Nascimento Brazil
José Luiz de Lima Filho Brazil
Teck Kwang Lim Singapore
Gi‐eun Rhie South Korea
Shailja Singh India
Matheus de Freitas Fernandes‐Pedrosa Brazil
Masato Nagaoka Japan
Meixia Chen China
Supachok Sinchaikul Taiwan
Maurizio Mattei Italy
Feng Lin relative to Laura de Oliveira Nascimento Brazil Laura de Oliveira Nascimento's profile →
Citations per field
00.5×2×4×6×7.8×
Laura de Oliveira Nascimento · 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 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012262
2 2005132
3 200588
4 200986
5 200286
6 200581
7 200675
8 200662
9 200859
10 201059
11 201159
12 200858
13 200652
14 200751
15 201150
16 202248
17 200848
18 201447
19 201246
20 200646

About Feng Lin

Feng Lin is a scholar working on Public Health, Environmental and Occupational Health, Biotechnology, Immunology, Molecular Biology and Microbiology, having authored 75 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pregnancy-related medical research (19 papers), Transgenic Plants and Applications (7 papers), Toxin Mechanisms and Immunotoxins (7 papers), Microbial Inactivation Methods (7 papers), Glycosylation and Glycoproteins Research (6 papers), Corneal surgery and disorders (4 papers), Natural product bioactivities and synthesis (4 papers) and Carbohydrate Chemistry and Synthesis (4 papers). The work is most often cited by research in Microbiology (149 citations), Biotechnology (200 citations), Public Health, Environmental and Occupational Health (568 citations), Virology (78 citations) and Immunology (344 citations). Feng Lin has collaborated with scholars based in Australia, China and United States. Frequent co-authors include John D. Wade, Ross A. D. Bathgate, Mohammed Akhter Hossain, Geoffrey W. Tregear, Kate E. Broderick, Niranjan Y. Sardesai, Suode Zhang, Amir Sada Khan, Fazel Shabanpoor and Jian Yan. Their work appears in journals such as Bioconjugate Chemistry, Annals of the New York Academy of Sciences, Journal of Medicinal Chemistry, Journal of Biological Chemistry and Carbohydrate Research.

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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