Xiaofeng Lin

643 citations
34 papers · 494 · h-index 14

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 10
    • Melanoma and MAPK Pathways 7
    • RNA modifications and cancer 3
    • Cytokine Signaling Pathways and Interactions 3
    • HER2/EGFR in Cancer Research 2

Xiaofeng Lin

33 papers receiving 486 citations

Peers

Xiaofeng Lin
Comparison fields: 5 of 98
  • Molecular Biology 307
  • Endocrine and Autonomic Systems 23
  • Oncology 85
  • Toxicology 9
  • Cellular and Molecular Neuroscience 45
Replace Aleksander Baldys with:
Aleksander Baldys United States
Branka Stancevic United States
Yun Gyu Park South Korea
Éric Jeandidier France
Andrea Šoltýsová Slovakia
Atul Sethi Switzerland
Terry Newcomb United States
Yuntao Wan United States
Wade H. Aaron United States
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Xiaofeng Lin relative to Aleksander Baldys United States Aleksander Baldys's profile →
Citations per field
00.5×3.1×
Aleksander Baldys · 1×
Citations per year

Countries citing papers authored by Xiaofeng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200370
2 200452
3 202134
4 200732
5 200624
6 200324
7 200323
8 200623
9 200723
10 200523
11 202121
12 200618
13 200617
14 202114
15 202212
16 200210
17 20218
18 20228
19 20227
20 20056

About Xiaofeng Lin

Xiaofeng Lin is a scholar working on Molecular Biology, Oncology, Surgery, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 494 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (10 papers), Melanoma and MAPK Pathways (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), RNA modifications and cancer (3 papers), Orthopedic Infections and Treatments (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Molecular Biology (307 citations), Endocrine and Autonomic Systems (23 citations), Oncology (85 citations), Toxicology (9 citations) and Cellular and Molecular Neuroscience (45 citations). Xiaofeng Lin has collaborated with scholars based in China, United States and India. Frequent co-authors include Gongqin Sun, Keykavous Parang, Sungsoo Lee, Nguyen‐Hai Nam, Marina K. Ayrapetov, Anil Kumar, Peisheng Chen, Guofeng Ye, Qiao Wu and Fabin Lin. Their work appears in journals such as Biochemistry, BMJ Open, Annals of Palliative Medicine, Journal of Medicinal Chemistry and Journal of Biological Chemistry.

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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