Sen Lin

48 papers receiving 1.2k citations

Peers

Sen Lin
Comparison fields: 5 of 111
  • Biochemistry 220
  • Pharmaceutical Science 102
  • Plant Science 479
  • Food Science 212
  • Biomaterials 115
Replace Nisakorn Saewan with:
Nisakorn Saewan Thailand
Mohib Ullah Kakar China
Pimporn Leelapornpisid Thailand
Giorgia Sarais Italy
Nooshin Nikmaram Iran
Carlos Martins‐Gomes Portugal
Lianliang Liu China
Shanshan Tie China
Fernando Pereira Beserra Brazil
Sen Lin relative to Nisakorn Saewan Thailand Nisakorn Saewan's profile →
Citations per field
00.5×1.5×2.1×
Nisakorn Saewan · 1×
Citations per year

Countries citing papers authored by Sen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Sen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201394
2 201283
3 201380
4 201374
5 201966
6 201953
7 201749
8 201149
9
The ground-cover rice production system (GCRPS): a successful new approach to save water and increase nitrogen fertilizer efficiency?
200249
10 201245
11 202043
12 202039
13 202337
14 201035
15 202033
16 201532
17 201730
18 201629
19 202328
20 201126

About Sen Lin

Sen Lin is a scholar working on Molecular Biology, Plant Science, Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health and Biochemistry, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ocular Surface and Contact Lens (9 papers), Corneal Surgery and Treatments (9 papers), Phytochemicals and Antioxidant Activities (8 papers), Advanced Drug Delivery Systems (7 papers), Microbial Metabolites in Food Biotechnology (5 papers), Nanoparticle-Based Drug Delivery (4 papers), Polysaccharides and Plant Cell Walls (4 papers) and Natural product bioactivities and synthesis (3 papers). The work is most often cited by research in Biochemistry (220 citations), Pharmaceutical Science (102 citations), Plant Science (479 citations), Food Science (212 citations) and Biomaterials (115 citations). Sen Lin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yueming Jiang, Bao Yang, Lingrong Wen, Guoxiang Jiang, Kaihui Nan, Feng Chen, Mouming Zhao, K. Nagendra Prasad, Dan Wu and Xuewu Duan. Their work appears in journals such as Food Chemistry, Journal of Functional Foods, Advanced Healthcare Materials, Carbohydrate Polymers and Journal of Controlled Release.

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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