Lin Tian

428 citations
16 papers · 330 · h-index 8

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 3
    • Glycosylation and Glycoproteins Research 2
    • Natural product bioactivities and synthesis 1
    • Lung Cancer Research Studies 4

Lin Tian

12 papers receiving 324 citations

Peers

Lin Tian
Comparison fields: 5 of 82
  • Cellular and Molecular Neuroscience 51
  • Molecular Biology 188
  • Neurology 38
  • Biophysics 10
  • Biotechnology 15
Replace С. В. Саранцева with:
С. В. Саранцева Russia
Jennifer S. Waby United Kingdom
Benedikt Frieg Germany
Csaba Váradi Hungary
Sara F. Dunne United States
Henrietta Vadászi Hungary
Julian Thimm Germany
Krzysztof Nieznański Poland
Silvia Torrassa Italy
Olga Boyd Luxembourg
Lin Tian relative to С. В. Саранцева Russia С. В. Саранцева's profile →
Citations per field
00.5×3.1×
С. В. Саранцева · 1×
Citations per year

Countries citing papers authored by Lin Tian

Since Specialization
Citations

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

Fields of papers citing papers by Lin Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2012146
2 201255
3 201930
4 200728
5 202020
6 202014
7 202212
8 20249
9 20236
10 20174
11 20243
12 20252
13 20231
14 20250
15 20250
16 20250

About Lin Tian

Lin Tian is a scholar working on Molecular Biology, Oncology, Epidemiology, Pharmacology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 330 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Glycosylation and Glycoproteins Research (2 papers), Neurological disorders and treatments (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Natural product bioactivities and synthesis (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (51 citations), Molecular Biology (188 citations), Neurology (38 citations), Biophysics (10 citations) and Biotechnology (15 citations). Lin Tian has collaborated with scholars based in China and United States. Frequent co-authors include Yunlei Yang, Scott M. Sternson, Luke D. Lavis, Loren L. Looger, Laura M. Wysocki, Amy Hu, Menghao Cai, Yuanxing Zhang, Stephen M. Moerlein and Susan K. Loftin. Their work appears in journals such as iScience, Scientific Reports, Experimental Neurology, Journal of Cellular Biochemistry and Cell Death and Disease.

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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