Keyu Lin

418 citations
23 papers · 313 · h-index 12

Impact in

Papers in

    • Circular RNAs in diseases 3
    • RNA modifications and cancer 2
    • Cancer-related gene regulation 2
    • Viral-associated cancers and disorders 3

Keyu Lin

20 papers receiving 307 citations

Peers

Keyu Lin
Comparison fields: 5 of 75
  • Cancer Research 65
  • Radiology, Nuclear Medicine and Imaging 95
  • Otorhinolaryngology 11
  • Oncology 54
  • Rheumatology 26
Replace Gallya Gannot with:
Gallya Gannot United States
Eisuke Matsuda Japan
Arpita Singha Roy Bangladesh
Dikan Wang China
T. France Spain
Arnaud Martel France
Stefania Carrara Germany
Xiaotong He United Kingdom
Y-C Tsai Taiwan
LaDeidra Monét Roberts United States
Keyu Lin relative to Gallya Gannot United States Gallya Gannot's profile →
Citations per field
00.5×2.9×
Gallya Gannot · 1×
Citations per year

Countries citing papers authored by Keyu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Keyu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199664
2 202034
3 199629
4 202428
5 201126
6 199817
7 200114
8 202213
9 202213
10 202212
11 202112
12 202112
13 199710
14 20189
15 20157
16 20204
17 20214
18 20152
19 20242
20 20251

About Keyu Lin

Keyu Lin is a scholar working on Molecular Biology, Oncology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 23 papers that have together received 313 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers), Viral-associated cancers and disorders (3 papers), Circular RNAs in diseases (3 papers), Medical Imaging Techniques and Applications (2 papers), Medical Image Segmentation Techniques (2 papers), RNA modifications and cancer (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cancer Research (65 citations), Radiology, Nuclear Medicine and Imaging (95 citations), Otorhinolaryngology (11 citations), Oncology (54 citations) and Rheumatology (26 citations). Keyu Lin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include S.C. Huang, Ying Su, Gary W. Small, Michael S. Mega, M.E. Phelps, Arthur W. Toga, Jiawei He, Xiang Liu, Xingyue Wang and Hua Cao. Their work appears in journals such as Frontiers in Oncology, Organic Chemistry Frontiers, British Journal of Cancer, IEEE Transactions on Nuclear Science and Frontiers in Cell and Developmental Biology.

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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