Jun-Bao Fan

1.5k total citations
29 papers, 1.2k citations indexed

About

Jun-Bao Fan is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Jun-Bao Fan has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Immunology and 8 papers in Oncology. Recurrent topics in Jun-Bao Fan's work include interferon and immune responses (11 papers), Cytokine Signaling Pathways and Interactions (7 papers) and Photonic and Optical Devices (5 papers). Jun-Bao Fan is often cited by papers focused on interferon and immune responses (11 papers), Cytokine Signaling Pathways and Interactions (7 papers) and Photonic and Optical Devices (5 papers). Jun-Bao Fan collaborates with scholars based in United States, China and Hungary. Jun-Bao Fan's co-authors include Yi Liang, Dong‐Er Zhang, Haili Zhu, Ming Yan, Jie Chen, Kei‐ichiro Arimoto, Sayuri Miyauchi, Samuel A. Stoner, Zhongying Mo and Jie Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jun-Bao Fan

28 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun-Bao Fan United States 17 670 366 281 172 117 29 1.2k
Masataka Horiuchi Japan 19 689 1.0× 550 1.5× 192 0.7× 145 0.8× 35 0.3× 32 1.4k
Cinzia Bizzarri Italy 22 673 1.0× 615 1.7× 110 0.4× 448 2.6× 51 0.4× 34 1.5k
Carmel G. Teahan United Kingdom 11 815 1.2× 802 2.2× 330 1.2× 72 0.4× 55 0.5× 12 1.5k
Igor Bronstein United Kingdom 22 1.6k 2.4× 347 0.9× 207 0.7× 200 1.2× 280 2.4× 46 2.0k
Cecilia Chiu United States 16 1.1k 1.7× 143 0.4× 132 0.5× 315 1.8× 58 0.5× 19 1.7k
H J Showell United States 16 1.1k 1.7× 765 2.1× 341 1.2× 227 1.3× 93 0.8× 19 2.0k
Huawei Qiu United States 17 727 1.1× 202 0.6× 202 0.7× 159 0.9× 23 0.2× 39 1.1k
Annick Verhee Belgium 24 651 1.0× 567 1.5× 269 1.0× 446 2.6× 198 1.7× 41 1.7k
Т. А. Смирнова Russia 17 452 0.7× 254 0.7× 60 0.2× 289 1.7× 76 0.6× 46 943
Ravi Kalathur United States 15 1.2k 1.7× 449 1.2× 76 0.3× 152 0.9× 25 0.2× 26 1.6k

Countries citing papers authored by Jun-Bao Fan

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Bao Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun-Bao Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-Bao Fan. A scholar is included among the top collaborators of Jun-Bao Fan 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-Bao Fan. Jun-Bao Fan 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.
Spatharakis, Dimitrios, Jun-Bao Fan, Hans Vandierendonck, et al.. (2025). SLED: A Speculative LLM Decoding Framework for Efficient Edge Serving. VTechWorks (Virginia Tech). 1–8. 1 indexed citations
2.
Arimoto, Kei‐ichiro, Sayuri Miyauchi, Ty D. Troutman, et al.. (2023). Expansion of interferon inducible gene pool via USP18 inhibition promotes cancer cell pyroptosis. Nature Communications. 14(1). 251–251. 46 indexed citations
3.
Fan, Jun-Bao, Sayuri Miyauchi, Huizhong Xu, et al.. (2020). Type I Interferon Regulates a Coordinated Gene Network to Enhance Cytotoxic T Cell–Mediated Tumor Killing. Cancer Discovery. 10(3). 382–393. 42 indexed citations
4.
Shukla, Nikunj M., Kei‐ichiro Arimoto, Shiyin Yao, et al.. (2018). Identification of Compounds That Prolong Type I Interferon Signaling as Potential Vaccine Adjuvants. SLAS DISCOVERY. 23(9). 960–973. 10 indexed citations
5.
Fan, Jun-Bao, et al.. (2015). Identification and characterization of a novel ISG15-ubiquitin mixed chain and its role in regulating protein homeostasis. Scientific Reports. 5(1). 12704–12704. 87 indexed citations
6.
Arimoto, Kei‐ichiro, Takayuki Hishiki, Hiroshi Kiyonari, et al.. (2014). Murine Herc6 Plays a Critical Role in Protein ISGylation In Vivo and Has an ISGylation-Independent Function in Seminal Vesicles. Journal of Interferon & Cytokine Research. 35(5). 351–358. 13 indexed citations
7.
Fan, Jun-Bao & Dong‐Er Zhang. (2012). ISG15 regulates IFN-γ immunity in human mycobacterial disease. Cell Research. 23(2). 173–175. 19 indexed citations
8.
Fan, Jun-Bao, et al.. (2012). The Contrasting Effect of Macromolecular Crowding on Amyloid Fibril Formation. PLoS ONE. 7(4). e36288–e36288. 86 indexed citations
9.
Lo, Miao-Chia, et al.. (2012). Usp18 Promotes Conventional CD11b+ Dendritic Cell Development. The Journal of Immunology. 188(10). 4776–4781. 24 indexed citations
10.
Zhu, Haili, et al.. (2011). Fibrillization of Human Tau Is Accelerated by Exposure to Lead via Interaction with His-330 and His-362. PLoS ONE. 6(9). e25020–e25020. 33 indexed citations
11.
Burkart, Christoph, Jun-Bao Fan, & D.E. Zhang. (2011). Two Independent Mechanisms Promote Expression of an N-terminal Truncated USP18 Isoform with Higher DeISGylation Activity in the Nucleus. Journal of Biological Chemistry. 287(7). 4883–4893. 34 indexed citations
12.
Zhou, Zheng, Jun‐Ming Liao, Peng Zhang, et al.. (2011). Parkinson disease drug screening based on the interaction between D2 dopamine receptor and beta-arrestin 2 detected by capillary zone electrophoresis. Protein & Cell. 2(11). 899–905. 2 indexed citations
13.
Zhou, Zheng, Jun-Bao Fan, Haili Zhu, et al.. (2009). Crowded Cell-like Environment Accelerates the Nucleation Step of Amyloidogenic Protein Misfolding. Journal of Biological Chemistry. 284(44). 30148–30158. 86 indexed citations
14.
Mo, Zhongying, et al.. (2009). Low Micromolar Zinc Accelerates the Fibrillization of Human Tau via Bridging of Cys-291 and Cys-322. Journal of Biological Chemistry. 284(50). 34648–34657. 156 indexed citations
15.
Zhu, Haili, Cristina Fernández, Jun-Bao Fan, et al.. (2009). Quantitative Characterization of Heparin Binding to Tau Protein. Journal of Biological Chemistry. 285(6). 3592–3599. 85 indexed citations
16.
Fan, Jun-Bao, Jie Chen, & Yi Liang. (2008). Oxidative refolding of reduced, denatured lysozyme in AOT reverse micelles. Journal of Colloid and Interface Science. 322(1). 95–103. 5 indexed citations
17.
Xiang, Jin, Jun-Bao Fan, Nan Chen, Jie Chen, & Yi Liang. (2006). Interaction of cellulase with sodium dodecyl sulfate at critical micelle concentration level. Colloids and Surfaces B Biointerfaces. 49(2). 175–180. 34 indexed citations
18.
Chen, Nan, et al.. (2006). Enzymatic hydrolysis of microcrystalline cellulose in reverse micelles. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1764(6). 1029–1035. 32 indexed citations
19.
Ozguz, V., et al.. (2002). Computer aided design and packaging optoelectronic systems with free space optical interconnects. 29.3.1–29.3.4. 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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