Jinmei Ding

2.2k total citations · 1 hit paper
38 papers, 1.4k citations indexed

About

Jinmei Ding is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Jinmei Ding has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Infectious Diseases and 8 papers in Genetics. Recurrent topics in Jinmei Ding's work include Gut microbiota and health (17 papers), Clostridium difficile and Clostridium perfringens research (9 papers) and Probiotics and Fermented Foods (6 papers). Jinmei Ding is often cited by papers focused on Gut microbiota and health (17 papers), Clostridium difficile and Clostridium perfringens research (9 papers) and Probiotics and Fermented Foods (6 papers). Jinmei Ding collaborates with scholars based in China, United States and Russia. Jinmei Ding's co-authors include He Meng, Chuan He, Wenjing Zhao, Shuyun Liu, Lingyu Yang, Ke Xu, Ronghua Dai, Zhengxiao Zhai, Jun Wang and Lingxiao Luo and has published in prestigious journals such as Nature Communications, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Jinmei Ding

34 papers receiving 1.4k citations

Hit Papers

Microbiome and metabolome features in inflammatory bowel ... 2023 2026 2024 2025 2023 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Microbiome and metabolome features in inflammatory bowel disease via multi-omics integration analyses across cohorts
    2023 116 citations Lijun Ning, Yilu Zhou et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinmei Ding China 19 805 327 237 226 181 38 1.4k
Zheng Jin Tu United States 23 1.1k 1.4× 340 1.0× 338 1.4× 271 1.2× 562 3.1× 45 2.2k
Chao Fang China 16 735 0.9× 127 0.4× 134 0.6× 131 0.6× 222 1.2× 42 1.4k
Hua Li China 23 663 0.8× 341 1.0× 102 0.4× 191 0.8× 139 0.8× 119 1.6k
Sang In Lee South Korea 22 538 0.7× 450 1.4× 54 0.2× 282 1.2× 186 1.0× 91 1.4k
Congying Chen China 28 1.3k 1.6× 594 1.8× 303 1.3× 300 1.3× 184 1.0× 69 2.3k
Yunlei Li China 22 386 0.5× 384 1.2× 87 0.4× 87 0.4× 174 1.0× 94 1.3k
Vance J. McCracken United States 15 758 0.9× 304 0.9× 211 0.9× 504 2.2× 85 0.5× 23 1.7k
Yuliaxis Ramayo‐Caldas Spain 26 1.0k 1.2× 610 1.9× 261 1.1× 168 0.7× 160 0.9× 82 2.3k

Countries citing papers authored by Jinmei Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jinmei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinmei Ding

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

All Works

20 of 20 papers shown
1.
Shi, Linna, et al.. (2025). How does the digital economy affect the urban–rural income gap? Evidence from Chinese cities. Habitat International. 157. 103327–103327. 14 indexed citations
2.
Wu, Yang, Jing Wei, Xiaoyuan Wang, et al.. (2025). Key factors affecting atmospheric visibility during the 19th Asian Games in Hangzhou. Atmospheric Research. 327. 108378–108378.
3.
Wang, Zhenyu, Tian Li, Yi Jiang, et al.. (2025). Synergistic role of gut-microbial L-ornithine in enhancing ustekinumab efficacy for Crohn’s disease. Cell Metabolism. 37(5). 1089–1102.e7. 4 indexed citations
4.
Wei, Jing, Jinmei Ding, Xiangyu Pei, et al.. (2025). Measurement report: Size-resolved particle effective density measured by an AAC-SMPS and implications for chemical composition. Atmospheric chemistry and physics. 25(9). 4755–4766.
5.
6.
Zhu, Xiaoqiang, Xiaowen Huang, Jiantao Li, et al.. (2024). A specific enterotype derived from gut microbiome of older individuals enables favorable responses to immune checkpoint blockade therapy. Cell Host & Microbe. 32(4). 489–505.e5. 19 indexed citations
7.
8.
Liu, Shuyun, Wenjing Zhao, Jinmei Ding, et al.. (2023). Dynamic distribution of gut microbiota during Alzheimer's disease progression in a mice model. Apmis. 131(9). 480–490. 9 indexed citations
9.
10.
Qin, Chao, Jiajia Liu, Ke Xu, et al.. (2022). One-Pot Visual Detection of African Swine Fever Virus Using CRISPR-Cas12a. Frontiers in Veterinary Science. 9. 962438–962438. 30 indexed citations
11.
Zhou, Hao, Lingyu Yang, Jinmei Ding, et al.. (2022). Dynamics of Small Non-coding RNA Profiles and the Intestinal Microbiome of High and Low Weight Chickens. Frontiers in Microbiology. 13. 916280–916280. 5 indexed citations
12.
Ding, Jinmei, Yuming Zheng, Lingyu Yang, et al.. (2020). The Composition and Function of Pigeon Milk Microbiota Transmitted From Parent Pigeons to Squabs. Frontiers in Microbiology. 11. 1789–1789. 20 indexed citations
13.
Ding, Jinmei, Hao Zhou, Ke Xu, et al.. (2020). Dynamic distribution of gut microbiota during embryonic development in chicken. Poultry Science. 99(10). 5079–5090. 50 indexed citations
14.
Ding, Jinmei, Ting Jiang, Hao Zhou, et al.. (2020). The Gut Microbiota of Pheasant Lineages Reflects Their Host Genetic Variation. Frontiers in Genetics. 11. 859–859. 4 indexed citations
15.
Zhao, Tingting, et al.. (2019). Immunodeficiency Promotes Adaptive Alterations of Host Gut Microbiome: An Observational Metagenomic Study in Mice. Frontiers in Microbiology. 10. 2415–2415. 50 indexed citations
16.
Ding, Jinmei, Ronghua Dai, Lingyu Yang, et al.. (2017). Inheritance and Establishment of Gut Microbiota in Chickens. Frontiers in Microbiology. 8. 1967–1967. 170 indexed citations
17.
He, Chuan, Yongcan Chen, Kaixuan Yang, et al.. (2017). Genetic pattern and gene localization of polydactyly in Beijing fatty chicken. PLoS ONE. 12(5). e0176113–e0176113. 9 indexed citations
18.
Dai, Ronghua, Yu Fang, Wenjing Zhao, et al.. (2016). Identification of alleles and genotypes of beta-casein with DNA sequencing analysis in Chinese Holstein cow. Journal of Dairy Research. 83(3). 312–316. 27 indexed citations
19.
Gao, Guangliang, Xianzhi Zhao, Qin Li, et al.. (2016). Genome and metagenome analyses reveal adaptive evolution of the host and interaction with the gut microbiota in the goose. Scientific Reports. 6(1). 32961–32961. 49 indexed citations
20.
Ding, Jinmei, Lele Zhao, Lifeng Wang, et al.. (2016). Divergent selection-induced obesity alters the composition and functional pathways of chicken gut microbiota. Genetics Selection Evolution. 48(1). 93–93. 39 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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