Ling Xin

767 citations
59 papers · 571 · h-index 13

Impact in

Papers in

    • Rheumatoid Arthritis Research and Therapies 18
    • Spondyloarthritis Studies and Treatments 5
    • Osteoarthritis Treatment and Mechanisms 4
    • Cancer-related molecular mechanisms research 10

Ling Xin

53 papers receiving 563 citations

Peers

Ling Xin
Comparison fields: 5 of 104
  • Cancer Research 177
  • Biological Psychiatry 26
  • Rheumatology 143
  • Complementary and alternative medicine 67
  • Pharmacology 60
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Pei Zhao China
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Fariborz Bahrehmand Iran
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Citations per field
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Citations per year

Countries citing papers authored by Ling Xin

Since Specialization
Citations

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

Fields of papers citing papers by Ling Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201363
2 202048
3 202232
4 201228
5 201724
6 202024
7 202024
8 202022
9 201922
10 201320
11 201917
12 201916
13 202015
14 202012
15 202311
16
Data mining in Xu Runsan's Traditional Chinese Medicine practice: treatment of chronic pelvic pain caused by pelvic inflammatory disease.
201911
17 202010
18 202010
19 202310
20 202110

About Ling Xin

Ling Xin is a scholar working on Rheumatology, Cancer Research, Complementary and alternative medicine, Molecular Biology and Pharmacology, having authored 59 papers that have together received 571 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (18 papers), Cancer-related molecular mechanisms research (10 papers), Traditional Chinese Medicine Studies (10 papers), Pharmacological Effects of Natural Compounds (7 papers), Autoimmune and Inflammatory Disorders Research (5 papers), Spondyloarthritis Studies and Treatments (5 papers), Circular RNAs in diseases (4 papers) and Osteoarthritis Treatment and Mechanisms (4 papers). The work is most often cited by research in Cancer Research (177 citations), Biological Psychiatry (26 citations), Rheumatology (143 citations), Complementary and alternative medicine (67 citations) and Pharmacology (60 citations). Ling Xin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jian Liu, Jianting Wen, Lei Wan, Xiaoxing Yin, Yanyan Fang, Yi Liu, Yanqiu Sun, Tian Xia, Lingshan Gou and Lingyan Sun. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, BioMed Research International, Heliyon, BMC Musculoskeletal Disorders and Behavioural Brain Research.

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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