Gen Li

8.4k total citations
38 papers, 783 citations indexed

About

Gen Li is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Gen Li has authored 38 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 5 papers in Biomedical Engineering and 4 papers in Genetics. Recurrent topics in Gen Li's work include CRISPR and Genetic Engineering (8 papers), Protein Structure and Dynamics (7 papers) and RNA and protein synthesis mechanisms (7 papers). Gen Li is often cited by papers focused on CRISPR and Genetic Engineering (8 papers), Protein Structure and Dynamics (7 papers) and RNA and protein synthesis mechanisms (7 papers). Gen Li collaborates with scholars based in China, United States and Nepal. Gen Li's co-authors include Emil Alexov, Yiping Qi, Yanhao Cheng, Simon Sretenovic, Changtian Pan, Gary D. Coleman, Filiz Gürel, Swagata Pahari, Siqi Liang and Haiyuan Yu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Gen Li

30 papers receiving 768 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gen Li China 15 564 179 71 68 60 38 783
Chunying Du China 11 684 1.2× 124 0.7× 16 0.2× 31 0.5× 36 0.6× 21 1.1k
Guoqiang Tan China 15 401 0.7× 96 0.5× 10 0.1× 56 0.8× 242 4.0× 31 784
Dongmei Tian China 16 425 0.8× 179 1.0× 18 0.3× 34 0.5× 84 1.4× 49 844
Shuyan Wang China 13 243 0.4× 36 0.2× 52 0.7× 66 1.0× 9 0.1× 50 582
Hung‐Ta Chen Taiwan 17 781 1.4× 60 0.3× 60 0.8× 13 0.2× 35 0.6× 51 1.1k
Minh Tan Nguyen South Korea 15 259 0.5× 33 0.2× 62 0.9× 40 0.6× 64 1.1× 37 519
Zhikun Wang China 16 335 0.6× 292 1.6× 31 0.4× 97 1.4× 7 0.1× 51 748
Yongqing Wang China 16 521 0.9× 135 0.8× 28 0.4× 31 0.5× 10 0.2× 51 871
Huai Wang China 14 331 0.6× 254 1.4× 11 0.2× 87 1.3× 12 0.2× 60 719
Lixing Liu China 18 407 0.7× 263 1.5× 10 0.1× 62 0.9× 5 0.1× 41 788

Countries citing papers authored by Gen Li

Since Specialization
Citations

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

Fields of papers citing papers by Gen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gen Li

This figure shows the co-authorship network connecting the top 25 collaborators of Gen Li. A scholar is included among the top collaborators of Gen 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 Gen Li. Gen Li 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.
Li, Gen & Eric F. Lock. (2025). Integrative Analysis of Multimodal Omics Data. Annual Review of Statistics and Its Application. 13(1). 347–367.
2.
Li, Gen, et al.. (2025). Comparative safety analysis of Hedgehog inhibitor preparations: insights from the FAERS database. Expert Opinion on Drug Safety. 1–8.
3.
Shoaib, Muhammad, Gen Li, Muhammad Arshad, et al.. (2025). Nanoplastic alters soybean microbiome across rhizocompartments level and symbiosis via flavonoid-mediated pathways. Frontiers in Plant Science. 16. 1676933–1676933.
5.
Zhou, Zhen‐Yi, Buddha Bahadur Basnet, Ziyang Li, et al.. (2025). Amplicon-based prediction of secondary metabolic potential of microbiomes facilitates natural product discovery. Synthetic and Systems Biotechnology. 11. 385–396.
7.
Pan, Changtian, Gen Li, Anindya Bandyopadhyay, & Yiping Qi. (2023). Guide RNA library-based CRISPR screens in plants: opportunities and challenges. Current Opinion in Biotechnology. 79. 102883–102883. 13 indexed citations
8.
Wang, Guangyu, Xiaohong Liu, Kai Wang, et al.. (2023). Deep-learning-enabled protein–protein interaction analysis for prediction of SARS-CoV-2 infectivity and variant evolution. Nature Medicine. 29(8). 2007–2018. 35 indexed citations
9.
Li, Gen, Simon Sretenovic, Gary D. Coleman, & Yiping Qi. (2023). Base Editing in Poplar Through an Agrobacterium-Mediated Transformation Method. Methods in molecular biology. 2653. 53–71. 1 indexed citations
10.
Li, Xin, Jiaqiang Wang, Yuanxu Gao, et al.. (2022). Lipid metabolism dysfunction induced by age-dependent DNA methylation accelerates aging. Signal Transduction and Targeted Therapy. 7(1). 162–162. 76 indexed citations
11.
Pan, Changtian, Gen Li, Aimee A. Malzahn, et al.. (2022). Boosting plant genome editing with a versatile CRISPR-Combo system. Nature Plants. 8(5). 513–525. 111 indexed citations
12.
Gürel, Filiz, Yuechao Wu, Changtian Pan, et al.. (2022). On- and Off-Target Analyses of CRISPR-Cas12b Genome Editing Systems in Rice. The CRISPR Journal. 6(1). 62–74. 10 indexed citations
13.
Shi, Sai, Biao Ma, Fude Sun, et al.. (2022). Zafirlukast inhibits the growth of lung adenocarcinoma via inhibiting TMEM16A channel activity. Journal of Biological Chemistry. 298(3). 101731–101731. 21 indexed citations
14.
Sretenovic, Simon, Shishi Liu, Gen Li, et al.. (2021). Exploring C-To-G Base Editing in Rice, Tomato, and Poplar. SHILAP Revista de lepidopterología. 3. 756766–756766. 42 indexed citations
15.
Huang, Wei, Gen Li, Zihang Wang, et al.. (2021). A Ten-N6-Methyladenosine (m6A)-Modified Gene Signature Based on a Risk Score System Predicts Patient Prognosis in Rectum Adenocarcinoma. Frontiers in Oncology. 10. 567931–567931. 12 indexed citations
16.
Li, Gen, Yupeng Yan, Mingxia Wang, et al.. (2020). The alkaline photo-sulfite system triggers Fe(IV/V) generation at hematite surfaces. Chemical Engineering Journal. 401. 126124–126124. 29 indexed citations
17.
Li, Fengyun, Gen Li, Shijie Cao, et al.. (2020). Target-triggered entropy-driven amplification system-templated silver nanoclusters for multiplexed microRNA analysis. Biosensors and Bioelectronics. 172. 112757–112757. 52 indexed citations
18.
Pahari, Swagata, Gen Li, Siqi Liang, et al.. (2020). SAAMBE-3D: Predicting Effect of Mutations on Protein–Protein Interactions. International Journal of Molecular Sciences. 21(7). 2563–2563. 63 indexed citations
19.
Li, Gen. (2019). Expression Quantitative Trait Loci Analysis in Multiple Tissues. Methods in molecular biology. 2082. 231–237. 2 indexed citations
20.
Li, Gen, Dereje D. Jima, Fred A. Wright, & Andrew B. Nobel. (2017). HT-eQTL: Integrative eQTL Analysis in a Large Number of Human Tissues. arXiv (Cornell University). 1 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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