Longbo Zhang

1.7k total citations · 1 hit paper
80 papers, 1.2k citations indexed

About

Longbo Zhang is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Longbo Zhang has authored 80 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 10 papers in Neurology and 8 papers in Genetics. Recurrent topics in Longbo Zhang's work include Glioma Diagnosis and Treatment (7 papers), Carbon dioxide utilization in catalysis (6 papers) and Tuberous Sclerosis Complex Research (6 papers). Longbo Zhang is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Carbon dioxide utilization in catalysis (6 papers) and Tuberous Sclerosis Complex Research (6 papers). Longbo Zhang collaborates with scholars based in China, United States and France. Longbo Zhang's co-authors include Angélique Bordey, Tiffany V. Lin, David M. Feliciano, Quan Cheng, Lawrence S. Hsieh, Tianxiang Huang, Xuan Gong, Zhixiong Liu, Zeyu Wang and Hao Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Neuron and Journal of Clinical Oncology.

In The Last Decade

Longbo Zhang

71 papers receiving 1.1k citations

Hit Papers

Immune checkpoint modulators in cancer immunotherapy: rec... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Longbo Zhang China 18 523 200 176 165 145 80 1.2k
Jung Yeon Lim South Korea 20 660 1.3× 253 1.3× 106 0.6× 152 0.9× 66 0.5× 38 1.5k
Andrea Taddei United Kingdom 8 858 1.6× 314 1.6× 108 0.6× 125 0.8× 89 0.6× 10 1.6k
Leonor Gouveia Sweden 10 682 1.3× 125 0.6× 162 0.9× 112 0.7× 160 1.1× 16 1.4k
José Javier Otero United States 19 653 1.2× 178 0.9× 98 0.6× 316 1.9× 234 1.6× 82 1.6k
Hanna M. Eilken Germany 11 1.2k 2.3× 159 0.8× 216 1.2× 218 1.3× 130 0.9× 13 1.9k
Tara A. Barone United States 15 471 0.9× 139 0.7× 146 0.8× 150 0.9× 98 0.7× 22 1.0k
Soon Won Choi South Korea 26 751 1.4× 182 0.9× 323 1.8× 213 1.3× 89 0.6× 53 1.9k
Seong Muk Kim South Korea 23 805 1.5× 321 1.6× 141 0.8× 206 1.2× 78 0.5× 27 1.7k
Ibrahim Kassis Israel 18 694 1.3× 149 0.7× 161 0.9× 172 1.0× 97 0.7× 33 2.3k
Ola Awad United States 18 580 1.1× 173 0.9× 110 0.6× 106 0.6× 96 0.7× 22 1.2k

Countries citing papers authored by Longbo Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Longbo Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longbo Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Longbo Zhang. A scholar is included among the top collaborators of Longbo Zhang 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 Longbo Zhang. Longbo Zhang 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.
Chen, Zhong, Kang Yang, Yu Li, et al.. (2025). Advancements in Surgical Therapies for Drug-Resistant Epilepsy: A Paradigm Shift towards Precision Care. Neurology and Therapy. 14(2). 467–490.
2.
He, Yanqing, Tao Lu, Ying Wang, et al.. (2025). Beyond mTOR: Unraveling the Complex Pathophysiology and Signaling Pathways in Focal Cortical Dysplasia. Molecular Neurobiology. 63(1). 171–171.
3.
Wang, Ying, Yanru Zhang, Jia Guo, et al.. (2025). Tandem Catalysis Enables the Hydrocarboxylation of γ-Valerolactone with CO2 and H2 to Produce Adipic Acid. Journal of the American Chemical Society. 147(38). 34589–34600.
4.
Xie, Kang, et al.. (2024). Mendelian randomization demonstrates a causal link between peripheral circulating acylcarnitines and intracranial aneurysms. Neurotherapeutics. 21(5). e00428–e00428. 2 indexed citations
5.
Wang, Yanyan, Yanru Zhang, Ying Wang, et al.. (2024). Catalyst‐Green Solvent System for Highly Efficient Production of Carboxylic Acids from Light Oxygenates, CO2 and H2. ChemCatChem. 16(15). 2 indexed citations
6.
Zhang, Longbo, et al.. (2024). A Multi-Feature and Dual-Attribute Interaction Aggregation Model for Predicting Drug-Target Interactions. IEEE Access. 12. 113463–113473. 1 indexed citations
7.
Huang, Tianxiang, et al.. (2024). Radiotherapy plus temozolomide with or without anlotinib in H3K27M‐mutant diffuse midline glioma: A retrospective cohort study. CNS Neuroscience & Therapeutics. 30(4). e14730–e14730. 1 indexed citations
8.
Zhang, Yanru, Jingjing Zhang, Ying Wang, et al.. (2023). Synthesis of Carboxylic Acids via Reaction of Ketones/Aldehydes with CO2 and H2. Organometallics. 42(16). 2312–2318. 3 indexed citations
9.
Yang, Li, Ying Wang, Yanru Zhang, et al.. (2023). Synthesis of Carboxylic Acids from Saccharides, CO2, and H2. ACS Catalysis. 13(12). 8025–8030. 8 indexed citations
11.
Zhang, Longbo, et al.. (2023). Gemological and Luminescence Characteristics of Taaffeites from Mogok, Myanmar. Minerals. 13(3). 346–346. 1 indexed citations
12.
Gong, Xuan, et al.. (2023). Differences in survival prognosticators between children and adults with H3K27M‐mutant diffuse midline glioma. CNS Neuroscience & Therapeutics. 29(12). 3863–3875. 6 indexed citations
13.
Nguyen, Lena H., Longbo Zhang, Tiffany V. Lin, et al.. (2021). Expression of 4E-BP1 in juvenile mice alleviates mTOR-induced neuronal dysfunction and epilepsy. Brain. 145(4). 1310–1325. 22 indexed citations
14.
Zhang, Longbo, Xiaobing Zhang, Lawrence S. Hsieh, Tiffany V. Lin, & Angélique Bordey. (2021). Rab27a-Dependent Paracrine Communication Controls Dendritic Spine Formation and Sensory Responses in the Barrel Cortex. Cells. 10(3). 622–622. 5 indexed citations
15.
Hsieh, Lawrence S., et al.. (2020). Ectopic HCN4 expression drives mTOR-dependent epilepsy in mice. Science Translational Medicine. 12(570). 39 indexed citations
16.
Wang, Lei, et al.. (2020). An Image Denoising Method Based on BM4D and GAN in 3D Shearlet Domain. Mathematical Problems in Engineering. 2020. 1–11. 6 indexed citations
17.
Huang, Zheng, et al.. (2020). A Hemodynamic Mechanism Correlating with the Initiation of MCA Bifurcation Aneurysms. American Journal of Neuroradiology. 41(7). 1217–1224. 10 indexed citations
18.
Zhang, Longbo, Feiyue Zeng, Junyu Wang, & Fenghua Chen. (2019). Finding the Inferior Petrosal Sinus for Embolizing Cavernous Dural Arteriovenous Fistula Using Preoperative Computed Tomography Angiography. World Neurosurgery. 126. e1069–e1074. 5 indexed citations
19.
Huang, Tianxiang, Lena H. Nguyen, Tiffany V. Lin, et al.. (2018). In utero electroporation-based translating ribosome affinity purification identifies age-dependent mRNA expression in cortical pyramidal neurons. Neuroscience Research. 143. 44–52. 3 indexed citations
20.

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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