Stephen Lin

2.8k citations
41 papers · 2.1k · 1 hit paper · h-index 20

Impact in

Papers in

Stephen Lin

40 papers receiving 2.0k citations

Stephen Lin's Hit Papers

Techniques for physicochemical characterization of nanomaterials 2013 · 565 citations
5650+4+8Years since publication100200300400500

Peers

Stephen Lin
Comparison fields: 5 of 132
  • Aging 141
  • Geriatrics and Gerontology 196
  • Physiology 75
  • Molecular Medicine 72
  • Molecular Biology 921
Replace Guorong Li with:
Guorong Li China
Stefano Leone Italy
Sachin Sunil Thakur New Zealand
Jialiu Zeng United States
Xin Zhe Liu China
Hai‐Ning Du China
Maja Misirkic-Marjanovic Serbia
Robert Gilkerson United States
Gennaro Agrimi Italy
Yanhong Wang China
Stephen Lin relative to Guorong Li China Guorong Li's profile →
Citations per field
00.5×2×3×4.2×
Guorong Li · 1×
Citations per year

Countries citing papers authored by Stephen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Techniques for physicochemical characterization of nanomaterials
Hit paper breakdown →
2013565
2 2002249
3 2018191
4 2001156
5 199898
6 200691
7 200686
8 201385
9 200377
10 199158
11 200955
12 198742
13 200430
14 201427
15 201326
16 200424
17 201523
18 201523
19 201222
20 201820

About Stephen Lin

Stephen Lin is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Aging, Molecular Medicine and Cell Biology, having authored 41 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Ion channel regulation and function (4 papers), Fungal and yeast genetics research (4 papers), Cellular transport and secretion (4 papers), Lipid Membrane Structure and Behavior (3 papers), Antibiotic Resistance in Bacteria (3 papers), Craniofacial Disorders and Treatments (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Aging (141 citations), Geriatrics and Gerontology (196 citations), Physiology (75 citations), Molecular Medicine (72 citations) and Molecular Biology (921 citations). Stephen Lin has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Paul C. Wang, Rajagopalan Sridhar, Ping‐Chang Lin, Jeffrey I. Gordon, Jill K. Manchester, Irwin B. Levitan, Michael Cory Bassik, Scott A. Oakes, Oliver Medvedik and Haim Yosef Cohen. Their work appears in journals such as Journal of Biological Chemistry, Journal of Anatomy, Assay and Drug Development Technologies, Journal of the American Heart Association and Neuron.

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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