Hu Li

19.2k total citations · 4 hit papers
226 papers, 10.6k citations indexed

About

Hu Li is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Hu Li has authored 226 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Molecular Biology, 41 papers in Cancer Research and 27 papers in Physiology. Recurrent topics in Hu Li's work include CRISPR and Genetic Engineering (24 papers), Epigenetics and DNA Methylation (24 papers) and Pluripotent Stem Cells Research (23 papers). Hu Li is often cited by papers focused on CRISPR and Genetic Engineering (24 papers), Epigenetics and DNA Methylation (24 papers) and Pluripotent Stem Cells Research (23 papers). Hu Li collaborates with scholars based in United States, China and Singapore. Hu Li's co-authors include James J. Collins, George Q. Daley, Donald E. Ingber, Yuin‐Han Loh, Hyun Jung Kim, Patrick Cahan, Cheng Zhang, Tim Ahfeldt, Philip D. Manos and Pankaj Kumar Mandal and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Hu Li

219 papers receiving 10.4k citations

Hit Papers

Highly Efficient Reprogramming to Pluripotency and Direct... 2010 2026 2015 2020 2010 2015 2018 2023 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hu Li United States 46 7.0k 1.8k 1.3k 992 970 226 10.6k
Ernst J. Wolvetang Australia 47 5.4k 0.8× 1.2k 0.7× 727 0.6× 619 0.6× 611 0.6× 162 8.1k
Nguan Soon Tan Singapore 62 5.9k 0.8× 1.7k 1.0× 1.8k 1.4× 598 0.6× 1.1k 1.2× 227 13.4k
Scott T. Magness United States 43 3.6k 0.5× 1.1k 0.6× 701 0.5× 1.3k 1.3× 1.9k 2.0× 104 7.1k
Nader Sheibani United States 51 4.8k 0.7× 905 0.5× 835 0.6× 364 0.4× 660 0.7× 342 10.4k
Hong Ma China 55 7.5k 1.1× 606 0.3× 735 0.6× 1.9k 1.9× 1.1k 1.1× 283 11.8k
Ikuo Morita Japan 51 4.9k 0.7× 742 0.4× 888 0.7× 742 0.7× 1.4k 1.4× 258 10.3k
Takashi Sato Japan 54 3.8k 0.5× 733 0.4× 787 0.6× 703 0.7× 717 0.7× 316 10.2k
Jianhua Zhang China 59 6.7k 0.9× 862 0.5× 1.1k 0.8× 630 0.6× 2.0k 2.0× 396 13.0k
Mark Kester United States 54 6.4k 0.9× 1.4k 0.8× 1.4k 1.1× 227 0.2× 940 1.0× 222 11.2k
Mei Chen China 62 4.9k 0.7× 775 0.4× 711 0.6× 415 0.4× 968 1.0× 310 12.9k

Countries citing papers authored by Hu Li

Since Specialization
Citations

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

Fields of papers citing papers by Hu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Hu Li. A scholar is included among the top collaborators of Hu 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 Hu Li. Hu 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, Qingsong, Lu Liu, Ling Wang, et al.. (2024). Marine thermal fluctuation induced gluconeogenesis by the transcriptional regulation of CgCREBL2 in Pacific oysters. Marine Pollution Bulletin. 207. 116906–116906. 2 indexed citations
2.
Li, Yutong, He Guo, Qiuling Ma, et al.. (2024). Water temperature disturbance alters the conjugate transfer of antibiotic resistance genes via affecting ROS content and intercellular aggregation. Journal of Hazardous Materials. 479. 135762–135762. 8 indexed citations
3.
Guo, Qianqian, Kunimaro Furuta, Cristina Correia, et al.. (2024). Glycogen synthase kinase 3 activity enhances liver inflammation in MASH. JHEP Reports. 6(6). 101073–101073. 7 indexed citations
4.
Correia, Cristina, Matthew J. Maurer, Samantha J. McDonough, et al.. (2023). Relationship between BCL2 mutations and follicular lymphoma outcome in the chemoimmunotherapy era. Blood Cancer Journal. 13(1). 81–81. 5 indexed citations
5.
Yi, Yao, Yingying Zeng, Kiyofumi Hamashima, et al.. (2023). Ribosomal proteins regulate 2-cell-stage transcriptome in mouse embryonic stem cells. Stem Cell Reports. 18(2). 463–474. 9 indexed citations
7.
Zhang, Cheng, et al.. (2023). SPIN-AI: A Deep Learning Model That Identifies Spatially Predictive Genes. Biomolecules. 13(6). 895–895. 4 indexed citations
8.
Sturmlechner, Ines, Karthik B. Jeganathan, Cheng Zhang, et al.. (2022). Senescent cells limit p53 activity via multiple mechanisms to remain viable. Nature Communications. 13(1). 3722–3722. 24 indexed citations
9.
Ung, Choong Yong, Taylor M. Weiskittel, Alex Chen, et al.. (2021). Machine Learning and Systems Biology Approaches to Characterize Dosage-Based Gene Dependencies in Cancer Cells. PubMed. 4(1). 13–32. 3 indexed citations
10.
Childs, Bennett G., Cheng Zhang, Fahad Shuja, et al.. (2021). Senescent cells suppress innate smooth muscle cell repair functions in atherosclerosis. Nature Aging. 1(8). 698–714. 52 indexed citations
11.
Aggen, David H., Casey R. Ager, Aleksandar Obradović, et al.. (2020). Blocking IL1 Beta Promotes Tumor Regression and Remodeling of the Myeloid Compartment in a Renal Cell Carcinoma Model: Multidimensional Analyses. Clinical Cancer Research. 27(2). 608–621. 92 indexed citations
12.
Jeganathan, Karthik B., Jake A. Kloeber, Brian A. Davies, et al.. (2020). FoxM1 insufficiency hyperactivates Ect2–RhoA–mDia1 signaling to drive cancer. Nature Cancer. 1(10). 1010–1024. 4 indexed citations
13.
Kanakkanthara, Arun, Kiran Kurmi, Xiaonan Hou, et al.. (2019). BRCA1 Deficiency Upregulates NNMT, Which Reprograms Metabolism and Sensitizes Ovarian Cancer Cells to Mitochondrial Metabolic Targeting Agents. Cancer Research. 79(23). 5920–5929. 45 indexed citations
14.
Li, Hu, et al.. (2019). Determination of Electroacupuncture Effects on circRNAs in Plasma Exosomes in Diabetic Mice: An RNA-Sequencing Approach. Evidence-based Complementary and Alternative Medicine. 2019. 1–15. 11 indexed citations
15.
Song, Dandan, Hongsheng Liang, Bo Qu, et al.. (2018). Ivermectin inhibits the growth of glioma cells by inducing cell cycle arrest and apoptosis in vitro and in vivo. Journal of Cellular Biochemistry. 120(1). 622–633. 35 indexed citations
16.
Wang, Wenzhang, Luwen Wang, Junjie Lu, et al.. (2016). The inhibition of TDP-43 mitochondrial localization blocks its neuronal toxicity. Nature Medicine. 22(8). 869–878. 308 indexed citations
17.
Colvin, Teresa A., Vladimir L. Gabai, Jianlin Gong, et al.. (2014). Hsp70–Bag3 Interactions Regulate Cancer-Related Signaling Networks. Cancer Research. 74(17). 4731–4740. 137 indexed citations
18.
Pandey, Shree P., Jonathan Winkler, Hu Li, et al.. (2014). Central role for RNase YbeY in Hfq-dependent and Hfq-independent small-RNA regulation in bacteria. DSpace@MIT (Massachusetts Institute of Technology).
19.
Lang, Alex, Hu Li, James J. Collins, & Pankaj Mehta. (2013). Epigenetic landscapes explain partially reprogrammed cells and identify key reprogramming gene. Bulletin of the American Physical Society. 2013. 1 indexed citations
20.
Xie, Wensheng, Christina Pao, Quinn Lu, et al.. (2012). Development of a Cell-Based High Throughput Luciferase Enzyme Fragment Complementation Assay to Identify Nuclear-Factor-E2-Related Transcription Factor 2 Activators. Assay and Drug Development Technologies. 10(6). 514–524. 14 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026