Xiaolin Tong

990 citations
58 papers · 642 · h-index 16

Impact in

Papers in

Xiaolin Tong

55 papers receiving 625 citations

Peers

Xiaolin Tong
Comparison fields: 5 of 123
  • Complementary and alternative medicine 160
  • Pharmacology 117
  • Nephrology 50
  • Endocrinology, Diabetes and Metabolism 115
  • Pharmacology 78
Replace Farin Rashid Farokhi with:
Farin Rashid Farokhi Iran
Hua Shao China
Nut Koonrungsesomboon Thailand
Rajeev Gupta India
Alireza Merrikhi Iran
Charles Leduc Canada
Phillip Bwititi Australia
Zhang La China
Xiaolin Tong relative to Farin Rashid Farokhi Iran Farin Rashid Farokhi's profile →
Citations per field
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Farin Rashid Farokhi · 1×
Citations per year

Countries citing papers authored by Xiaolin Tong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201542
2 201640
3 201734
4
TCM treatment of infectious atypical pneumonia--a report of 16 cases.
200434
5 201632
6 201530
7 201729
8 201827
9 202323
10 201522
11 201821
12 202220
13 202019
14 201318
15 202017
16 201517
17 201814
18 201613
19 201513
20 201712

About Xiaolin Tong

Xiaolin Tong is a scholar working on Complementary and alternative medicine, Pharmacology, Molecular Biology, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 58 papers that have together received 642 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Studies (18 papers), Pharmacological Effects of Natural Compounds (7 papers), Healthcare and Venom Research (6 papers), Lipid metabolism and disorders (6 papers), Chronic Kidney Disease and Diabetes (5 papers), Diabetes Treatment and Management (5 papers), Berberine and alkaloids research (5 papers) and Traditional Chinese Medicine Analysis (4 papers). The work is most often cited by research in Complementary and alternative medicine (160 citations), Pharmacology (117 citations), Nephrology (50 citations), Endocrinology, Diabetes and Metabolism (115 citations) and Pharmacology (78 citations). Xiaolin Tong has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Linhua Zhao, Fengmei Lian, Jiaxing Tian, Bing Pang, Xiyan Zhao, Yiqun Lin, Lisha He, Tianyu Zhao, Min Li and De Jin. Their work appears in journals such as Medicine, Evidence-based Complementary and Alternative Medicine, Chinese Medicine, Frontiers in Pharmacology and Phytotherapy 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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