Yijun Pan

1.9k total citations · 1 hit paper
86 papers, 1.4k citations indexed

About

Yijun Pan is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Yijun Pan has authored 86 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 22 papers in Physiology and 21 papers in Oncology. Recurrent topics in Yijun Pan's work include Alzheimer's disease research and treatments (20 papers), Drug Transport and Resistance Mechanisms (15 papers) and Peroxisome Proliferator-Activated Receptors (14 papers). Yijun Pan is often cited by papers focused on Alzheimer's disease research and treatments (20 papers), Drug Transport and Resistance Mechanisms (15 papers) and Peroxisome Proliferator-Activated Receptors (14 papers). Yijun Pan collaborates with scholars based in Australia, United States and Japan. Yijun Pan's co-authors include Joseph A. Nicolazzo, Warren T. Ford, Christopher P. Holmes, Bruce R. Schackman, Harold Alan Pincus, Sharmini Radakrishnan, Yuhua Bao, Feijun Luo, M.J. Scanlon and Christopher J. H. Porter and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Neuroscience and Advanced Drug Delivery Reviews.

In The Last Decade

Yijun Pan

76 papers receiving 1.4k citations

Hit Papers

Prescription Drug Monitoring Programs Are Associated With... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yijun Pan Australia 20 477 253 220 186 150 86 1.4k
Hugo P. Monteiro Brazil 20 722 1.5× 85 0.3× 302 1.4× 73 0.4× 233 1.6× 46 1.6k
Aki Hirayama Japan 27 975 2.0× 58 0.2× 367 1.7× 156 0.8× 154 1.0× 100 2.5k
Iman M. Ahmad United States 23 985 2.1× 62 0.2× 266 1.2× 149 0.8× 171 1.1× 55 2.3k
Yōko Kubota Japan 28 557 1.2× 64 0.3× 233 1.1× 130 0.7× 179 1.2× 180 2.5k
Christine L. Hammond United States 16 937 2.0× 94 0.4× 207 0.9× 77 0.4× 237 1.6× 21 2.1k
Stuart A. Ross Canada 33 1.4k 3.0× 123 0.5× 415 1.9× 117 0.6× 122 0.8× 93 3.8k
Agnieszka Śliwińska Poland 27 974 2.0× 125 0.5× 462 2.1× 66 0.4× 184 1.2× 79 2.2k
Mingming Zhu China 29 1.0k 2.1× 59 0.2× 194 0.9× 71 0.4× 91 0.6× 72 2.5k
Yang Luo China 23 277 0.6× 78 0.3× 93 0.4× 173 0.9× 41 0.3× 93 1.7k

Countries citing papers authored by Yijun Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yijun Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yijun Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Yijun Pan. A scholar is included among the top collaborators of Yijun Pan 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 Yijun Pan. Yijun Pan 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.
Pan, Yijun, et al.. (2025). The NLRP3 signaling pathway is a potential target for clinical translation in glioma treatment. SLAS DISCOVERY. 36. 100279–100279.
2.
Wang, Yihan, Christopher Fowler, Colin L. Masters, et al.. (2025). Development and Validation of a Tool to Predict Onset of Mild Cognitive Impairment and Alzheimer Dementia. JAMA Network Open. 8(1). e2453756–e2453756. 2 indexed citations
3.
Chandrashekaran, Indu R., Luke A. Adams, B.C. Doak, et al.. (2025). Evaluation of the Anti-Inflammatory Effects of Novel Fatty Acid-Binding Protein 4 Inhibitors in Microglia. Journal of Neuroimmune Pharmacology. 20(1). 40–40.
4.
Ma, Liwei, Yihan Wang, Colin L. Masters, et al.. (2025). Predicting severity of cerebral amyloid angiopathy neuropathology: A modeling approach using NACC and ROSMAP data. Alzheimer s & Dementia. 21(10). e70057–e70057.
5.
Wang, Yihan, et al.. (2025). Development and validation of a predictive model to forecast the cerebrovascular risk burden in older people using the NACC and ROSMAP dataset. Alzheimer s & Dementia. 21(8). e70543–e70543. 1 indexed citations
6.
Yin, Pengfei, et al.. (2025). Diagnosis and management of paroxysmal sympathetic hyperactivity: a narrative review of recent literature. European journal of medical research. 30(1). 349–349.
9.
Umaru, Banlanjo Abdulaziz, Yui Yamamoto, Hiroki Shima, et al.. (2024). Polyunsaturated fatty acids-induced ferroptosis suppresses pancreatic cancer growth. Scientific Reports. 14(1). 4409–4409. 20 indexed citations
10.
Pan, Yijun, et al.. (2024). Reporting practices of anesthetic and analgesic use in rodent orthopedic research. Scientific Reports. 14(1). 26225–26225.
11.
Ma, Liwei, Yihan Wang, Timothy Cox, et al.. (2023). How Can We Use Mathematical Modeling of Amyloid-β in Alzheimer’s Disease Research and Clinical Practices?. Journal of Alzheimer s Disease. 97(1). 89–100. 1 indexed citations
12.
Bush, Ashley I., et al.. (2023). Cu(ATSM) Increases P-Glycoprotein Expression and Function at the Blood-Brain Barrier in C57BL6/J Mice. Pharmaceutics. 15(8). 2084–2084. 9 indexed citations
13.
Pan, Yijun, Yoshiteru Kagawa, Jiaqi Sun, et al.. (2023). Peripheral Administration of the Kv1.3-Blocking Peptide HsTX1[R14A] Improves Cognitive Performance in Senescence Accelerated SAMP8 Mice. Neurotherapeutics. 20(4). 1198–1214. 6 indexed citations
14.
Umaru, Banlanjo Abdulaziz, Yoshiteru Kagawa, Yuki Ohsaki, et al.. (2022). Oleic acid‐bound FABP7 drives glioma cell proliferation through regulation of nuclear lipid droplet formation. FEBS Journal. 290(7). 1798–1821. 15 indexed citations
15.
Wang, Yi‐Ting, et al.. (2021). Unraveling synonymous and deep intronic variants causing aberrant splicing in two genetically undiagnosed epilepsy families. BMC Medical Genomics. 14(1). 152–152. 7 indexed citations
16.
Umaru, Banlanjo Abdulaziz, Yoshiteru Kagawa, Subrata Kumar Shil, et al.. (2021). Ligand Bound Fatty Acid Binding Protein 7 (FABP7) Drives Melanoma Cell Proliferation Via Modulation of Wnt/β-Catenin Signaling. Pharmaceutical Research. 38(3). 479–490. 16 indexed citations
17.
Pan, Yijun, Jennifer L. Short, Kwok Ho Christopher Choy, et al.. (2016). Fatty Acid-Binding Protein 5 at the Blood–Brain Barrier Regulates Endogenous Brain Docosahexaenoic Acid Levels and Cognitive Function. Journal of Neuroscience. 36(46). 11755–11767. 61 indexed citations
18.
Pan, Yijun, Hanan Khalil, & Joseph A. Nicolazzo. (2015). The Impact of Docosahexaenoic Acid on Alzheimer’s Disease: Is There a Role of the Blood-Brain Barrier?. Current Clinical Pharmacology. 10(3). 222–241. 41 indexed citations
19.
Pan, Yijun, et al.. (1995). Synthesis of Racemic Sex Pheromone of Japanese Beetle by Alkenyl Cuprate Reagent. Chinese Journal of Applied Chemistry. 12(3). 94–96. 1 indexed citations
20.
Wang, Shiming, et al.. (1990). SYNTHESIS OF THE MAIN COMPONENT OF SAN JOSE SCALE'S SEX PHEROMONE USING POLYMER SUPPORTED REAGENT. Chinese Journal of Applied Chemistry. 7(1). 83–85. 1 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