Kunmin Xiao

431 total citations · 1 hit paper
10 papers, 273 citations indexed

About

Kunmin Xiao is a scholar working on Oncology, Molecular Biology and Pharmacology. According to data from OpenAlex, Kunmin Xiao has authored 10 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Kunmin Xiao's work include Pharmacological Effects of Natural Compounds (3 papers), Medicinal Plant Pharmacodynamics Research (2 papers) and Traditional Chinese Medicine Analysis (2 papers). Kunmin Xiao is often cited by papers focused on Pharmacological Effects of Natural Compounds (3 papers), Medicinal Plant Pharmacodynamics Research (2 papers) and Traditional Chinese Medicine Analysis (2 papers). Kunmin Xiao collaborates with scholars based in China and Singapore. Kunmin Xiao's co-authors include Mengqi Zhang, Fangyuan Zhou, Shuhan Wang, Shenglan Yang, Jinxiao Li, Luorui Shang, Yuhan Liu, Shijie Zhu, Wei Wang and Yong Wang and has published in prestigious journals such as Journal of Ethnopharmacology, Frontiers in Pharmacology and Frontiers in Genetics.

In The Last Decade

Kunmin Xiao

10 papers receiving 269 citations

Hit Papers

Mechanism of Sijunzi Decoction in the treatment of colore... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kunmin Xiao China 7 144 65 50 46 38 10 273
Chaoyan Wu China 10 162 1.1× 41 0.6× 40 0.8× 59 1.3× 52 1.4× 27 379
P.Y. Yu China 11 209 1.5× 51 0.8× 57 1.1× 55 1.2× 42 1.1× 18 415
Kyoung Jin Nho South Korea 13 187 1.3× 51 0.8× 44 0.9× 32 0.7× 52 1.4× 21 353
Jiazhong Cai China 12 178 1.2× 49 0.8× 44 0.9× 28 0.6× 36 0.9× 23 323
Lifeng Yue China 12 192 1.3× 70 1.1× 47 0.9× 25 0.5× 53 1.4× 21 353
Jianming Zhou China 10 146 1.0× 65 1.0× 37 0.7× 55 1.2× 42 1.1× 29 346
Rongling Zhong China 11 208 1.4× 104 1.6× 47 0.9× 62 1.3× 40 1.1× 21 411
Ashraf Ul Kabir United States 8 111 0.8× 64 1.0× 29 0.6× 41 0.9× 63 1.7× 13 305
Yongchao Gao China 11 205 1.4× 50 0.8× 31 0.6× 38 0.8× 20 0.5× 30 417
Yuchen Wang China 11 209 1.5× 52 0.8× 76 1.5× 35 0.8× 18 0.5× 33 304

Countries citing papers authored by Kunmin Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Kunmin Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunmin Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Kunmin Xiao. A scholar is included among the top collaborators of Kunmin Xiao 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 Kunmin Xiao. Kunmin Xiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Xiao, Kunmin, et al.. (2025). Gut Microbiota and Hepatocellular Carcinoma: Metabolic Products and Immunotherapy Modulation. Cancer Medicine. 14(9). e70914–e70914. 4 indexed citations
2.
Shang, Luorui, Jinxiao Li, Fangyuan Zhou, et al.. (2022). Mechanism of Sijunzi Decoction in the treatment of colorectal cancer based on network pharmacology and experimental validation. Journal of Ethnopharmacology. 302(Pt A). 115876–115876. 161 indexed citations breakdown →
3.
Xiao, Kunmin, et al.. (2022). Chinese Herbal Medicine for Primary Liver Cancer Therapy: Perspectives and Challenges. Frontiers in Pharmacology. 13. 889799–889799. 38 indexed citations
4.
Wang, Mina, et al.. (2022). Unveiling Potential Mechanisms of Spatholobi Caulis against Lung Metastasis of Malignant Tumor by Network Pharmacology and Molecular Docking. Evidence-based Complementary and Alternative Medicine. 2022. 1–11. 6 indexed citations
5.
Ji, Shuangshuang, et al.. (2021). Prognostic and immunological value of LTB4R in pan-cancer. Mathematical Biosciences & Engineering. 18(6). 9336–9356. 3 indexed citations
6.
Xue, Peng, et al.. (2021). Research progress on the treatment of advanced prostate cancer with Olaparib. Neoplasma. 68(6). 1132–1138. 2 indexed citations
7.
Xiao, Kunmin, et al.. (2021). Prognostic Role of TIGIT Expression in Patients with Solid Tumors: A Meta-Analysis. Journal of Immunology Research. 2021. 1–8. 24 indexed citations
8.
Xiao, Kunmin, et al.. (2020). Potential Molecular Mechanisms of Chaihu‐Shugan‐San in Treatment of Breast Cancer Based on Network Pharmacology. Evidence-based Complementary and Alternative Medicine. 2020(1). 3670309–3670309. 18 indexed citations
9.
Xiao, Kunmin, et al.. (2020). Integrated Analysis of lncRNA-Mediated ceRNA Network Reveals a Prognostic Signature for Hepatocellular Carcinoma. Frontiers in Genetics. 11. 602542–602542. 10 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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