Jun Mo

2.9k total citations · 1 hit paper
52 papers, 2.3k citations indexed

About

Jun Mo is a scholar working on Organic Chemistry, Neurology and Surgery. According to data from OpenAlex, Jun Mo has authored 52 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Organic Chemistry, 12 papers in Neurology and 5 papers in Surgery. Recurrent topics in Jun Mo's work include Catalytic Cross-Coupling Reactions (13 papers), Catalytic C–H Functionalization Methods (12 papers) and Intracranial Aneurysms: Treatment and Complications (6 papers). Jun Mo is often cited by papers focused on Catalytic Cross-Coupling Reactions (13 papers), Catalytic C–H Functionalization Methods (12 papers) and Intracranial Aneurysms: Treatment and Complications (6 papers). Jun Mo collaborates with scholars based in China, United Kingdom and United States. Jun Mo's co-authors include Jianliang Xiao, Lijin Xu, Haopeng Sun, Hongzhi Lin, John H. Zhang, Jiping Tang, Chen Yao, Jie Zhu, Tongyu Zhang and Pei Wu and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and The Journal of Immunology.

In The Last Decade

Jun Mo

49 papers receiving 2.2k citations

Hit Papers

The recent progress of isoxazole in medicinal chemistry 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The recent progress of isoxazole in medicinal chemistry
    2018 306 citations Jie Zhu, Jun Mo et al. Bioorganic & Medicinal Chemistry profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Mo China 26 971 547 343 288 192 52 2.3k
F. Carey United Kingdom 23 431 0.4× 653 1.2× 114 0.3× 106 0.4× 169 0.9× 43 2.2k
Werner J. Geldenhuys United States 30 489 0.5× 1.2k 2.1× 301 0.9× 218 0.8× 307 1.6× 124 2.7k
Satoshi Yuki Japan 15 372 0.4× 482 0.9× 401 1.2× 398 1.4× 160 0.8× 24 1.9k
Wenhu Duan China 33 1.9k 1.9× 1.5k 2.7× 43 0.1× 117 0.4× 224 1.2× 109 3.4k
Boris Schmidt Germany 35 843 0.9× 1.6k 2.9× 160 0.5× 255 0.9× 532 2.8× 136 3.9k
Péter Mátyus Hungary 28 1.4k 1.4× 1.3k 2.3× 103 0.3× 107 0.4× 213 1.1× 184 2.9k
Andrew D. White United States 18 666 0.7× 1.1k 2.1× 99 0.3× 65 0.2× 166 0.9× 37 2.0k
Mojgan Aghazadeh Tabrizi Italy 37 1.9k 2.0× 1.8k 3.3× 122 0.4× 137 0.5× 430 2.2× 104 4.0k
E. Jon Jacobsen United States 23 779 0.8× 644 1.2× 215 0.6× 117 0.4× 114 0.6× 44 2.1k
Ivars Kalvinsh Latvia 27 407 0.4× 827 1.5× 120 0.3× 111 0.4× 110 0.6× 118 2.0k

Countries citing papers authored by Jun Mo

Since Specialization
Citations

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

Fields of papers citing papers by Jun Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Mo. A scholar is included among the top collaborators of Jun Mo 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 Jun Mo. Jun Mo 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.
2.
Shi, Bo, Xiaobo Du, Binwei Lin, et al.. (2025). Ultra‑high dose rate (FLASH) treatment: A novel radiotherapy modality (Review). Molecular and Clinical Oncology. 22(3). 23–23. 1 indexed citations
3.
4.
Qia, Zhang, Jianmin Zhang, & Jun Mo. (2023). Pharmacological Modulations of Nrf2 and Therapeutic Implications in Aneurysmal Subarachnoid Hemorrhage. Molecules. 28(4). 1747–1747. 2 indexed citations
5.
Mo, Jun, et al.. (2020). Trigeminal neuralgia associated with cerebellar pial arteriovenous fistula. Medicine. 99(3). e18873–e18873.
6.
Ocak, Umut, Pınar Eser Ocak, Lei Huang, et al.. (2020). Inhibition of mast cell tryptase attenuates neuroinflammation via PAR-2/p38/NFκB pathway following asphyxial cardiac arrest in rats. Journal of Neuroinflammation. 17(1). 144–144. 18 indexed citations
7.
8.
Peng, Jianhua, Jinwei Pang, Lei Huang, et al.. (2019). LRP1 activation attenuates white matter injury by modulating microglial polarization through Shc1/PI3K/Akt pathway after subarachnoid hemorrhage in rats. Redox Biology. 21. 101121–101121. 120 indexed citations
9.
Li, Peng, Gang Zhao, Yan Ding, et al.. (2019). Rh-IFN-α attenuates neuroinflammation and improves neurological function by inhibiting NF-κB through JAK1-STAT1/TRAF3 pathway in an experimental GMH rat model. Brain Behavior and Immunity. 79. 174–185. 42 indexed citations
10.
Mo, Jun, Hongyu Yang, Tingkai Chen, et al.. (2019). Design, synthesis, biological evaluation, and molecular modeling studies of quinoline-ferulic acid hybrids as cholinesterase inhibitors. Bioorganic Chemistry. 93. 103310–103310. 46 indexed citations
11.
Mo, Jun, Budbazar Enkhjargal, Zachary D. Travis, et al.. (2018). AVE 0991 attenuates oxidative stress and neuronal apoptosis via Mas/PKA/CREB/UCP-2 pathway after subarachnoid hemorrhage in rats. Redox Biology. 20. 75–86. 132 indexed citations
12.
Zhu, Jie, Jun Mo, Hongzhi Lin, Chen Yao, & Haopeng Sun. (2018). The recent progress of isoxazole in medicinal chemistry. Bioorganic & Medicinal Chemistry. 26(12). 3065–3075. 306 indexed citations breakdown →
13.
Mo, Jun, Lei Huang, Jianhua Peng, et al.. (2018). Autonomic Disturbances in Acute Cerebrovascular Disease. Neuroscience Bulletin. 35(1). 133–144. 41 indexed citations
14.
Li, Qi, Jun Mo, Yao Chen, et al.. (2018). Identification by shape-based virtual screening and evaluation of new tyrosinase inhibitors. PeerJ. 6. e4206–e4206. 25 indexed citations
15.
Zhu, Qiquan, Budbazar Enkhjargal, Lei Huang, et al.. (2018). Aggf1 attenuates neuroinflammation and BBB disruption via PI3K/Akt/NF-κB pathway after subarachnoid hemorrhage in rats. Journal of Neuroinflammation. 15(1). 178–178. 128 indexed citations
16.
Gu, Kai, Qi Li, Hongzhi Lin, et al.. (2017). Gamma secretase inhibitors: a patent review (2013 - 2015). Expert Opinion on Therapeutic Patents. 27(7). 851–866. 16 indexed citations
17.
Mo, Jun & Jianliang Xiao. (2006). The Heck Reaction of Electron‐Rich Olefins with Regiocontrol by Hydrogen‐Bond Donors. Angewandte Chemie International Edition. 45(25). 4152–4157. 95 indexed citations
18.
Streilein, J. Wayne, Kouichi Ohta, Jun Mo, & Andrew W. Taylor. (2002). Ocular Immune Privilege and the Impact of Intraocular Inflammation. DNA and Cell Biology. 21(5-6). 453–459. 57 indexed citations
19.
Katagiri, Kazumoto, Jie Zhang-Hoover, Jun Mo, Joan Stein‐Streilein, & J. Wayne Streilein. (2002). Using Tolerance Induced Via the Anterior Chamber of the Eye to Inhibit Th2-Dependent Pulmonary Pathology. The Journal of Immunology. 169(1). 84–89. 50 indexed citations
20.
Mo, Jun & Michael J. Fisher. (2002). Uridine nucleotide-induced stimulation of gluconeogenesis in isolated rat proximal tubules. Naunyn-Schmiedeberg s Archives of Pharmacology. 366(2). 151–157. 7 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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