Jianning Ge

2.0k total citations · 1 hit paper
16 papers, 1.5k citations indexed

About

Jianning Ge is a scholar working on Molecular Biology, Endocrinology and Oncology. According to data from OpenAlex, Jianning Ge has authored 16 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Endocrinology and 5 papers in Oncology. Recurrent topics in Jianning Ge's work include Legionella and Acanthamoeba research (6 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and CAR-T cell therapy research (3 papers). Jianning Ge is often cited by papers focused on Legionella and Acanthamoeba research (6 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and CAR-T cell therapy research (3 papers). Jianning Ge collaborates with scholars based in United States, China and South Korea. Jianning Ge's co-authors include Feng Shao, Jae U. Jung, Qiming Liang, Suan‐Sin Foo, Weiqiang Chen, Yi‐Nan Gong, Hao Xu, Zhen Zhao, Mude Shi and Shin-Ae Lee and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Jianning Ge

16 papers receiving 1.5k citations

Hit Papers

Zika Virus NS4A and NS4B Proteins Deregulate Akt-mTOR Sig... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianning Ge United States 13 597 519 489 467 415 16 1.5k
Alyssa Ingmundson Germany 12 518 0.9× 344 0.7× 314 0.6× 257 0.6× 80 0.2× 20 1.3k
Benjamin R. Morehouse United States 13 996 1.7× 887 1.7× 166 0.3× 179 0.4× 352 0.8× 21 1.7k
Jacqueline M. Kimmey United States 16 606 1.0× 637 1.2× 114 0.2× 618 1.3× 597 1.4× 23 1.6k
B. Lowey United States 14 917 1.5× 562 1.1× 130 0.3× 211 0.5× 242 0.6× 19 1.5k
Miguel Vargas Mexico 20 538 0.9× 222 0.4× 258 0.5× 158 0.3× 402 1.0× 65 1.5k
Joanna L. Miller United Kingdom 17 367 0.6× 859 1.7× 469 1.0× 346 0.7× 467 1.1× 32 1.7k
Stéphanie Seveau United States 26 872 1.5× 491 0.9× 186 0.4× 194 0.4× 153 0.4× 47 2.0k
Dagmar Heuer Germany 17 674 1.1× 416 0.8× 124 0.3× 663 1.4× 188 0.5× 35 1.6k
Cheryl L. Birmingham Canada 11 589 1.0× 326 0.6× 200 0.4× 914 2.0× 126 0.3× 14 1.7k
Sheila Sturgill-Koszycki United States 12 806 1.4× 755 1.5× 125 0.3× 1.2k 2.5× 1.2k 2.8× 12 2.6k

Countries citing papers authored by Jianning Ge

Since Specialization
Citations

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

Fields of papers citing papers by Jianning Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianning Ge

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

All Works

16 of 16 papers shown
1.
Kim, Stephanie, Jianning Ge, Do-Kyun Kim, et al.. (2024). TXNIP-mediated crosstalk between oxidative stress and glucose metabolism. PLoS ONE. 19(2). e0292655–e0292655. 13 indexed citations
2.
Li, Shiqi, Xinxin Wang, Lin Liu, et al.. (2022). Abstract CT196: Early results of a safety and efficacy study of allogeneic TruUCAR™ GC502 in patients with relapsed/refractory B-cell acute lymphoblastic leukemia (r/r B-ALL). Cancer Research. 82(12_Supplement). CT196–CT196. 4 indexed citations
3.
Ge, Jianning, Jiao Chen, Wenjie Yin, et al.. (2021). Preclinical Results of an Allogeneic, Universal CD19/CD7-Targeting CAR-T Cell Therapy (GC502) for B Cell Malignancies. Blood. 138(Supplement 1). 1722–1722. 4 indexed citations
4.
Wang, Xinxin, Shiqi Li, Lei Gao, et al.. (2020). Safety and efficacy results of GC027: The first-in-human, universal CAR-T cell therapy for adult relapsed/refractory T-cell acute lymphoblastic leukemia (r/r T-ALL).. Journal of Clinical Oncology. 38(15_suppl). 3013–3013. 9 indexed citations
5.
Foo, Suan‐Sin, Weiqiang Chen, Yen Chan, et al.. (2017). Asian Zika virus strains target CD14+ blood monocytes and induce M2-skewed immunosuppression during pregnancy. Nature Microbiology. 2(11). 1558–1570. 114 indexed citations
6.
Liang, Qiming, Zhifei Luo, Jianxiong Zeng, et al.. (2016). Zika Virus NS4A and NS4B Proteins Deregulate Akt-mTOR Signaling in Human Fetal Neural Stem Cells to Inhibit Neurogenesis and Induce Autophagy. Cell stem cell. 19(5). 663–671. 394 indexed citations breakdown →
7.
Sohn, Y. S., Wei Sun Park, Jianning Ge, et al.. (2015). Lpg0393 of Legionella pneumophila Is a Guanine-Nucleotide Exchange Factor for Rab5, Rab21 and Rab22. PLoS ONE. 10(3). e0118683–e0118683. 14 indexed citations
8.
Liang, Qiming, Patrick Lee, Kevin Brulois, et al.. (2015). Identification of the Essential Role of Viral Bcl-2 for Kaposi's Sarcoma-Associated Herpesvirus Lytic Replication. Journal of Virology. 89(10). 5308–5317. 25 indexed citations
9.
Liang, Qiming, Gil Ju Seo, Youn Jung Choi, et al.. (2014). Crosstalk between the cGAS DNA Sensor and Beclin-1 Autophagy Protein Shapes Innate Antimicrobial Immune Responses. Cell Host & Microbe. 15(2). 228–238. 290 indexed citations
10.
Li, Ting, Qiuhe Lu, Guolun Wang, et al.. (2013). SET‐domain bacterial effectors target heterochromatin protein 1 to activate host rDNA transcription. EMBO Reports. 14(8). 733–740. 61 indexed citations
11.
Liang, Qiming, Kevin Brulois, Kamilah Castro, et al.. (2013). Kaposi's Sarcoma-Associated Herpesvirus K7 Modulates Rubicon-Mediated Inhibition of Autophagosome Maturation. Journal of Virology. 87(22). 12499–12503. 69 indexed citations
12.
Ku, Bonsu, Wei Sun Park, Chul‐Su Yang, et al.. (2012). VipD of Legionella pneumophila Targets Activated Rab5 and Rab22 to Interfere with Endosomal Trafficking in Macrophages. PLoS Pathogens. 8(12). e1003082–e1003082. 80 indexed citations
13.
Ge, Jianning, Yi‐Nan Gong, Ying Xu, & Feng Shao. (2012). Preventing bacterial DNA release and absent in melanoma 2 inflammasome activation by a Legionella effector functioning in membrane trafficking. Proceedings of the National Academy of Sciences. 109(16). 6193–6198. 99 indexed citations
14.
Ge, Jianning & Feng Shao. (2011). Manipulation of host vesicular trafficking and innate immune defence by Legionella Dot/Icm effectors. Cellular Microbiology. 13(12). 1870–1880. 60 indexed citations
15.
Zhang, Li, Xiaojun Ding, Jixin Cui, et al.. (2011). Cysteine methylation disrupts ubiquitin-chain sensing in NF-κB activation. Nature. 481(7380). 204–208. 160 indexed citations
16.
Ge, Jianning, Hao Xu, Ting Li, et al.. (2009). A Legionella type IV effector activates the NF-κB pathway by phosphorylating the IκB family of inhibitors. Proceedings of the National Academy of Sciences. 106(33). 13725–13730. 140 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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