Feng Lin

45 papers receiving 1.1k citations

Feng Lin's Hit Papers

Covalently Engineered Nanobody Chimeras for Targeted Membrane Protein Degradation 2021 · 206 citations
2060+1+3Years since publication50100150200

Peers

Feng Lin
Comparison fields: 5 of 95
  • Cell Biology 234
  • Organic Chemistry 272
  • Molecular Biology 544
  • Oncology 197
  • Immunology and Allergy 39
Replace Samuel Schmidt with:
Samuel Schmidt Germany
Elliot C. Woods United States
Chengcheng Huang China
Max Nobis United Kingdom
Norihiko Sasaki Japan
Matthew G. Rubashkin United States
Rabi Upadhyay United States
Bing‐Mae Chen Taiwan
Meritxell Balmaña Portugal
Intaek Lee United States
Feng Lin relative to Samuel Schmidt Germany Samuel Schmidt's profile →
Citations per field
00.5×4.1×
Samuel Schmidt · 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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Covalently Engineered Nanobody Chimeras for Targeted Membrane Protein Degradation
Hit paper breakdown →
2021206
2 2016150
3 201867
4 202049
5 202440
6 202240
7 202438
8 202137
9 201636
10 202233
11 201932
12 202031
13 202229
14 201626
15 201226
16 201826
17 201322
18 202218
19 201817
20 201916

About Feng Lin

Feng Lin is a scholar working on Cell Biology, Molecular Biology, Biomedical Engineering, Oncology and Organic Chemistry, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (18 papers), Click Chemistry and Applications (7 papers), 3D Printing in Biomedical Research (7 papers), Cell Adhesion Molecules Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Cancer Cells and Metastasis (3 papers), HER2/EGFR in Cancer Research (3 papers) and Microfluidic and Bio-sensing Technologies (3 papers). The work is most often cited by research in Cell Biology (234 citations), Organic Chemistry (272 citations), Molecular Biology (544 citations), Oncology (197 citations) and Immunology and Allergy (39 citations). Feng Lin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Peng R. Chen, Jianyong Huang, Chunyang Xiong, Xinyuan Fan, Jian Lin, Heng Zhang, William Shu Ching Ngai, Yuanfan Yang, Yongjun Dang and Linghao Kong. Their work appears in journals such as Acta Biomaterialia, ACS Biomaterials Science & Engineering, Science Advances, Phytomedicine and Science China Life Sciences.

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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