Ran Tian

403 total citations
8 papers, 166 citations indexed

About

Ran Tian is a scholar working on Complementary and alternative medicine, Public Health, Environmental and Occupational Health and Statistics, Probability and Uncertainty. According to data from OpenAlex, Ran Tian has authored 8 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Complementary and alternative medicine, 2 papers in Public Health, Environmental and Occupational Health and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Ran Tian's work include Complementary and Alternative Medicine Studies (5 papers), Traditional Chinese Medicine Studies (5 papers) and Acupuncture Treatment Research Studies (3 papers). Ran Tian is often cited by papers focused on Complementary and Alternative Medicine Studies (5 papers), Traditional Chinese Medicine Studies (5 papers) and Acupuncture Treatment Research Studies (3 papers). Ran Tian collaborates with scholars based in Hong Kong, China and Canada. Ran Tian's co-authors include Zhaoxiang Bian, Aiping Lyu, Xuan Zhang, Chen Zhao, Linda L. D. Zhong, Chung Wah Cheng, Liang Dai, An‐Wen Chan, Xudong Tang and Hongcai Shang and has published in prestigious journals such as Journal of Clinical Epidemiology, BMC Medical Research Methodology and BMJ Open.

In The Last Decade

Ran Tian

8 papers receiving 160 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ran Tian Hong Kong	6	97	31	29	22	18	8	166
Ilse Muchitsch Austria	5	159 1.6×	12 0.4×	17 0.6×	9 0.4×	13 0.7×	6	185
Tamás Lantos Hungary	6	35 0.4×	18 0.6×	2 0.1×	17 0.8×	31 1.7×	17	182
Liyun He China	11	104 1.1×	19 0.6×	1 0.0×	23 1.0×	41 2.3×	34	240
Pierre Bunouf France	9	7 0.1×	11 0.4×	8 0.3×	16 0.7×	21 1.2×	22	183
Jijia Wang United States	8	8 0.1×	5 0.2×	5 0.2×	13 0.6×	26 1.4×	43	177
Hongxing Zhang China	8	55 0.6×	5 0.2×		8 0.4×	35 1.9×	18	183
Lilik Herawati Indonesia	7	20 0.2×	18 0.6×		15 0.7×	14 0.8×	89	221
Justin CY Wu Hong Kong	4	59 0.6×	6 0.2×	1 0.0×	92 4.2×	21 1.2×	5	339
Elaine Weatherley-Jones United Kingdom	5	110 1.1×	5 0.2×	15 0.5×	10 0.5×	2 0.1×	6	203
René Sosata Bun France	5	6 0.1×	7 0.2×	14 0.5×	8 0.4×	16 0.9×	11	130

Countries citing papers authored by Ran Tian

Since Specialization

Citations

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

Fields of papers citing papers by Ran Tian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ran Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Ran Tian. A scholar is included among the top collaborators of Ran Tian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ran Tian. Ran Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Zhang, Xuan, Wai Ching Lam, Fan Liu, et al.. (2021). A Cross-sectional literature survey showed the reporting quality of multicenter randomized controlled trials should be improved. Journal of Clinical Epidemiology. 137. 250–261. 4 indexed citations

2.

Tian, Ran, et al.. (2020). Reporting quality of systematic reviews with moxibustion. Chinese Medicine. 15(1). 104–104. 4 indexed citations

3.

Zhang, Xuan, Liang Lan, Jacky C. P. Chan, et al.. (2020). WHO Trial Registration Data Set (TRDS) extension for traditional Chinese medicine 2020: recommendations, explanation, and elaboration. BMC Medical Research Methodology. 20(1). 192–192. 13 indexed citations

4.

Zhang, Xuan, Ran Tian, Wai Ching Lam, et al.. (2020). Standards for reporting interventions in clinical trials of cupping (STRICTOC): extending the CONSORT statement. Chinese Medicine. 15(1). 10–10. 25 indexed citations

5.

Zhang, Xuan, Ran Tian, Zhen Yang, et al.. (2019). Quality assessment of clinical trial registration with traditional Chinese medicine in WHO registries. BMJ Open. 9(2). e025218–e025218. 17 indexed citations

6.

Zhang, Xuan, Ran Tian, Chen Zhao, et al.. (2019). Placebo design in WHO-registered trials of Chinese herbal medicine need improvements. BMC Complementary and Alternative Medicine. 19(1). 299–299. 21 indexed citations

7.

Zhang, Xuan, Ran Tian, Chen Zhao, et al.. (2019). The use of pattern differentiation in WHO-registered traditional Chinese medicine trials – A systematic review. European Journal of Integrative Medicine. 30. 100945–100945. 17 indexed citations

8.

Dai, Liang, Chung Wah Cheng, Ran Tian, et al.. (2018). Standard Protocol Items for Clinical Trials with Traditional Chinese Medicine 2018: Recommendations, Explanation and Elaboration (SPIRIT-TCM Extension 2018). Chinese Journal of Integrative Medicine. 25(1). 71–79. 65 indexed citations

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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