Zunling Li

838 total citations
11 papers, 311 citations indexed

About

Zunling Li is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Zunling Li has authored 11 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Genetics. Recurrent topics in Zunling Li's work include Immune Cell Function and Interaction (3 papers), RNA modifications and cancer (2 papers) and CRISPR and Genetic Engineering (2 papers). Zunling Li is often cited by papers focused on Immune Cell Function and Interaction (3 papers), RNA modifications and cancer (2 papers) and CRISPR and Genetic Engineering (2 papers). Zunling Li collaborates with scholars based in China and United States. Zunling Li's co-authors include Heyu Chen, Mi Deng, Guojin Wu, Weina Chen, Ningyan Zhang, Cheng Cheng Zhang, Samuel John, Zhiqiang An, Xun Gui and Huiqing Yuan and has published in prestigious journals such as PLoS ONE, Carcinogenesis and Molecular Therapy.

In The Last Decade

Zunling Li

10 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zunling Li China	7	147	136	98	49	40	11	311
Carliann M. Costanzo United States	4	189 1.3×	170 1.3×	113 1.2×	59 1.2×	20 0.5×	5	352
Obi L. Griffith United States	9	144 1.0×	188 1.4×	127 1.3×	77 1.6×	27 0.7×	14	330
Barbara Carlini Italy	13	140 1.0×	132 1.0×	114 1.2×	94 1.9×	24 0.6×	19	353
Hannah J. Whiteman United Kingdom	7	152 1.0×	250 1.8×	89 0.9×	109 2.2×	40 1.0×	7	409
Maria Corallo Italy	8	300 2.0×	182 1.3×	106 1.1×	83 1.7×	26 0.7×	11	455
Andy Hsu Australia	6	113 0.8×	200 1.5×	104 1.1×	39 0.8×	106 2.6×	10	401
Irina Abécassis United States	6	186 1.3×	147 1.1×	154 1.6×	80 1.6×	29 0.7×	7	371
Benjamin E. Paluch United States	8	134 0.9×	272 2.0×	162 1.7×	46 0.9×	91 2.3×	10	432
Benjamin T. Goetz United States	9	73 0.5×	184 1.4×	60 0.6×	33 0.7×	61 1.5×	12	300
Inge S. van Houdt Netherlands	7	183 1.2×	130 1.0×	176 1.8×	43 0.9×	13 0.3×	8	346

Countries citing papers authored by Zunling Li

Since Specialization

Citations

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

Fields of papers citing papers by Zunling Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zunling Li

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

All Works

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11 of 11 papers shown

Xiao, Jing, Shuping Wei, Li Fang, et al.. (2025). IGSF9-targeted therapy inhibits the progression of acute myeloid leukemia. Blood Advances. 9(16). 4217–4231.

Li, Zunling, Mi Deng, Fangfang Huang, et al.. (2020). Correction to: LILRB4 ITIMs mediate the T cell suppression and infiltration of acute myeloid leukemia cells. Cellular and Molecular Immunology. 17(3). 302–304. 2 indexed citations

Li, Zunling, Mi Deng, Fangfang Huang, et al.. (2019). LILRB4 ITIMs mediate the T cell suppression and infiltration of acute myeloid leukemia cells. Cellular and Molecular Immunology. 17(3). 272–282. 58 indexed citations

John, Samuel, Heyu Chen, Mi Deng, et al.. (2018). A Novel Anti-LILRB4 CAR-T Cell for the Treatment of Monocytic AML. Molecular Therapy. 26(10). 2487–2495. 97 indexed citations

Li, Zunling, et al.. (2014). ADAM-12 as a Diagnostic Marker for the Proliferation, Migration and Invasion in Patients with Small Cell Lung Cancer. PLoS ONE. 9(1). e85936–e85936. 56 indexed citations

Li, Zunling, Yanxia Guo, Hanming Jiang, et al.. (2014). Differential regulation of MMPs by E2F1, Sp1 and NF-kappa B controls the small cell lung cancer invasive phenotype. BMC Cancer. 14(1). 276–276. 40 indexed citations

Jiao, Fei, Xin Wang, Zhonghai Yan, et al.. (2013). Effect of Dynamic DNA Methylation and Histone Acetylation on cPouV Expression in Differentiation of Chick Embryonic Germ Cells. Stem Cells and Development. 22(20). 2725–2735. 9 indexed citations

Hu, Zhongyi, Yuanyuan Gu, Bo Han, et al.. (2012). Knockdown of AGR2 induces cellular senescence in prostate cancer cells. Carcinogenesis. 33(6). 1178–1186. 28 indexed citations

Wang, Juan, Xuefeng Wang, Shuyang Xie, et al.. (2010). p53 Status and Its Prognostic Role in Extrahepatic Bile Duct Cancer: A Meta-Analysis of Published Studies. Digestive Diseases and Sciences. 56(3). 655–662. 15 indexed citations

10.

Wang, Pingyu, et al.. (2009). Erythroid differentiation-related factor expression driven by effective promoter to ameliorate the anemia syndrome. Biologia. 64(4). 826–832. 1 indexed citations

11.

Wang, Juan, et al.. (2008). Directed differentiation of chick embryonic germ cells into neural cells using retinoic acid induction in vitro. Journal of Neuroscience Methods. 177(1). 168–176. 5 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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