Zaiming Li

460 total citations
10 papers, 151 citations indexed

About

Zaiming Li is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Zaiming Li has authored 10 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Zaiming Li's work include RNA modifications and cancer (4 papers), Genetic Associations and Epidemiology (4 papers) and Epigenetics and DNA Methylation (2 papers). Zaiming Li is often cited by papers focused on RNA modifications and cancer (4 papers), Genetic Associations and Epidemiology (4 papers) and Epigenetics and DNA Methylation (2 papers). Zaiming Li collaborates with scholars based in China, United States and Japan. Zaiming Li's co-authors include Qian Yang, Chengfeng Yang, Zhigang Jie, Jian Wu, Yiguo Jiang, Haruhiko Sugimura, Yoshiyuki Ohno, Chang‐Ming Gao, Toshiro Takezaki and K Tajima and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Oncogene and Poultry Science.

In The Last Decade

Zaiming Li

8 papers receiving 149 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zaiming Li China 4 117 88 26 14 10 10 151
Elise D. Flynn United States 6 114 1.0× 22 0.3× 45 1.7× 9 0.6× 7 0.7× 6 152
Harish Rotti India 5 64 0.5× 33 0.4× 21 0.8× 4 0.3× 5 0.5× 7 96
Rayzel C. Fernandes United Kingdom 6 106 0.9× 52 0.6× 17 0.7× 4 0.3× 6 0.6× 9 159
Fangchao Gong China 9 138 1.2× 109 1.2× 18 0.7× 2 0.1× 15 1.5× 14 192
Christopher Hickey United States 5 84 0.7× 31 0.4× 13 0.5× 2 0.1× 10 1.0× 10 111
Elizabeth M. Munding United States 5 202 1.7× 63 0.7× 13 0.5× 2 0.1× 8 0.8× 5 224
Satyajit Rajapurkar United States 4 149 1.3× 18 0.2× 24 0.9× 2 0.1× 19 1.9× 4 188
Anna Barbara Mancuso Italy 4 80 0.7× 13 0.1× 26 1.0× 3 0.2× 16 1.6× 4 119

Countries citing papers authored by Zaiming Li

Since Specialization
Citations

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

Fields of papers citing papers by Zaiming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaiming Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zaiming Li. A scholar is included among the top collaborators of Zaiming Li 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 Zaiming Li. Zaiming Li 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.
You, Dongfang, Zaiming Li, Ruyang Zhang, et al.. (2025). Boosting the Power of Rare Variant Association Studies by Imputation Using Large-scale Sequencing Population. Genomics Proteomics & Bioinformatics. 23(5).
2.
Zhang, Yu, Yuxiang Jiang, Zihan Xu, et al.. (2025). Weighted single-step genome-wide association study identified genomic regions and candidate genes for growth and reproductive traits in Wenchang chicken. Poultry Science. 104(5). 104733–104733. 2 indexed citations
3.
Zheng, Yunhao, Longyao Zhang, Zaiming Li, et al.. (2025). Increased risk of multisystem comorbidities and disease trajectories following hyperthyroidism: evidence from the 0.5 million UK Biobank population. Endocrine Connections. 14(5). 1 indexed citations
4.
Du, Sha, Zaiming Li, Yixin Zhang, et al.. (2024). Proteome-wide Mendelian randomization identifies causal plasma proteins in lung cancer. iScience. 27(2). 108985–108985. 3 indexed citations
5.
Li, Hongru, Zaiming Li, Sha Du, et al.. (2024). A cross-trait study of lung cancer and its related respiratory diseases based on large-scale exome sequencing population. Translational Lung Cancer Research. 13(3). 512–525. 1 indexed citations
6.
7.
Shen, Sipeng, Zaiming Li, Weiwei Duan, et al.. (2023). A Large-Scale Exome-Wide Association Study Identifies Novel Germline Mutations in Lung Cancer. American Journal of Respiratory and Critical Care Medicine. 208(3). 280–289. 4 indexed citations
8.
Yan, Haichao, et al.. (2015). Lack of association between an insertion/deletion polymorphism in IL1A and risk of colorectal cancer. Genetics and Molecular Research. 14(3). 8490–8495. 9 indexed citations
9.
Yang, Qian, Zhigang Jie, Zaiming Li, et al.. (2012). Genetic variations in miR-27a gene decrease mature miR-27a level and reduce gastric cancer susceptibility. Oncogene. 33(2). 193–202. 81 indexed citations
10.
Sugimura, Haruhiko, Kenji Wakai, Keiichiro Genka, et al.. (1998). Association of Ile462Val (Exon 7) polymorphism of cytochrome P450 IA1 with lung cancer in the Asian population: further evidence from a case-control study in Okinawa.. PubMed. 7(5). 413–7. 50 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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