Justin Fang

3.0k total citations
33 papers, 971 citations indexed

About

Justin Fang is a scholar working on Cognitive Neuroscience, Endocrine and Autonomic Systems and Biomedical Engineering. According to data from OpenAlex, Justin Fang has authored 33 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 8 papers in Endocrine and Autonomic Systems and 7 papers in Biomedical Engineering. Recurrent topics in Justin Fang's work include Sleep and Wakefulness Research (11 papers), Sleep and related disorders (5 papers) and Circadian rhythm and melatonin (5 papers). Justin Fang is often cited by papers focused on Sleep and Wakefulness Research (11 papers), Sleep and related disorders (5 papers) and Circadian rhythm and melatonin (5 papers). Justin Fang collaborates with scholars based in United States, Hungary and Japan. Justin Fang's co-authors include James M. Krueger, F. Obál, Hiroshi Matsui, Yasuhiro Ikezoe, Takashi Uemura, Susumu Kitagawa, Tetsuya Kushikata, János Gardi, E. Zoumakis and Edward O. Bixler and has published in prestigious journals such as Advanced Materials, The Journal of Chemical Physics and Nano Letters.

In The Last Decade

Justin Fang

33 papers receiving 957 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Justin Fang United States 18 363 338 282 128 122 33 971
Yuko Morita Japan 18 172 0.5× 77 0.2× 287 1.0× 247 1.9× 82 0.7× 53 1.1k
Sabine Frank Germany 27 380 1.0× 341 1.0× 127 0.5× 704 5.5× 77 0.6× 43 2.1k
Xiaoyang Zhang China 21 225 0.6× 229 0.7× 90 0.3× 417 3.3× 63 0.5× 81 1.4k
Lindsay M. Parker Australia 19 95 0.3× 113 0.3× 98 0.3× 263 2.1× 153 1.3× 41 1.0k
Eun Jeong Lee South Korea 15 125 0.3× 271 0.8× 51 0.2× 200 1.6× 92 0.8× 39 772
Sushil K. Jha India 21 743 2.0× 287 0.8× 235 0.8× 76 0.6× 88 0.7× 33 1.1k
Gurprit S. Lall United Kingdom 19 358 1.0× 1.2k 3.4× 89 0.3× 513 4.0× 198 1.6× 24 2.0k
José L. Valdés Chile 24 217 0.6× 190 0.6× 26 0.1× 216 1.7× 292 2.4× 50 1.3k
Ehsan M. Izadmehr United States 5 520 1.4× 189 0.6× 51 0.2× 216 1.7× 38 0.3× 5 1.1k
David R. Bonsall United Kingdom 9 130 0.4× 70 0.2× 37 0.1× 181 1.4× 52 0.4× 15 1.0k

Countries citing papers authored by Justin Fang

Since Specialization
Citations

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

Fields of papers citing papers by Justin Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Fang. A scholar is included among the top collaborators of Justin Fang 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 Justin Fang. Justin Fang 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.
Zhang, Shuqi, et al.. (2024). Universal protection of allogeneic T-cell therapies from natural killer cells via CD300a agonism. Blood Advances. 9(2). 254–264. 5 indexed citations
2.
Fang, Justin, Ming‐Xing Li, Mircea Cotlet, et al.. (2024). Probing the optical properties and toxicological profile of zinc tungstate nanorods. The Journal of Chemical Physics. 160(23). 1 indexed citations
3.
Fang, Justin, Christopher R. Tang, Esther S. Takeuchi, et al.. (2023). Microwave-Assisted Fabrication of High Energy Density Binary Metal Sulfides for Enhanced Performance in Battery Applications. Nanomaterials. 13(10). 1599–1599. 3 indexed citations
4.
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Li, Yuanchang, Alexandros N. Vgontzas, Julio Fernández‐Mendoza, et al.. (2019). Increased high-frequency EEG activity during nerm sleep mediates the association between subjective daytime sleepiness and sustained attention in sleep apnea patients. Sleep Medicine. 64. S226–S226. 1 indexed citations
7.
Fang, Justin, et al.. (2018). Heroin self-administration as a function of time of day in rats. Psychopharmacology. 235(10). 3005–3015. 12 indexed citations
8.
Chen, Huabiao, Pedro A. Lamothe, Jian Zheng, et al.. (2017). T-Cell Receptor (TCR) Clonotype-Specific Differences in Inhibitory Activity of HIV-1 Cytotoxic T-Cell Clones Is Not Mediated by TCR Alone. Journal of Virology. 91(6). 9 indexed citations
9.
Chowdhury, Sayan Mullick, et al.. (2016). Nanoparticle-Facilitated Membrane Depolarization-Induced Receptor Activation: Implications on Cellular Uptake and Drug Delivery. ACS Biomaterials Science & Engineering. 2(12). 2153–2161. 4 indexed citations
10.
Maeda, Yoshiaki, Justin Fang, Yasuhiro Ikezoe, et al.. (2016). Molecular Self-Assembly Strategy for Generating Catalytic Hybrid Polypeptides. PLoS ONE. 11(4). e0153700–e0153700. 7 indexed citations
11.
Xia, Zhen, Huabiao Chen, Seung-Gu Kang, et al.. (2014). The complex and specific pMHC interactions with diverse HIV-1 TCR clonotypes reveal a structural basis for alterations in CTL function. Scientific Reports. 4(1). 4087–4087. 18 indexed citations
12.
Begriche, Karima, Gregory M. Sutton, Justin Fang, & Andrew A. Butler. (2009). The role of melanocortin neuronal pathways in circadian biology: a new homeostatic output involving melanocortin‐3 receptors?. Obesity Reviews. 10(s2). 14–24. 17 indexed citations
13.
Vgontzas, Alexandros N., S. Pejovic, E. Zoumakis, et al.. (2006). Daytime napping after a night of sleep loss decreases sleepiness, improves performance, and causes beneficial changes in cortisol and interleukin-6 secretion. American Journal of Physiology-Endocrinology and Metabolism. 292(1). E253–E261. 144 indexed citations
14.
Churchill, L., Ping Taishi, Zhiwei Guan, et al.. (2001). Sleep Modifies Glutamate Decarboxylase mRNA Within the Barrel Cortex of Rats After a Mystacial Whisker Trim. SLEEP. 24(3). 261–266. 7 indexed citations
15.
Taishi, Ping, Connie Sánchez, Y. Wang, et al.. (2001). Conditions that affect sleep alter the expression of molecules associated with synaptic plasticity. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 281(3). R839–R845. 90 indexed citations
16.
Kushikata, Tetsuya, Justin Fang, & James M. Krueger. (1999). Interleukin-10 Inhibits Spontaneous Sleep in Rabbits. Journal of Interferon & Cytokine Research. 19(9). 1025–1030. 54 indexed citations
17.
Maeda, Naoyoshi, et al.. (1997). Establishment of HTLV-1 carrier mice by injection with HTLV-1-producing T cells.. PubMed. 11 Suppl 3. 260–2. 11 indexed citations
18.
Obál, F., et al.. (1995). Growth-Hormone-Releasing Hormone Mediates the Sleep-Promoting Activity of Interleukin-1 in Rats. Neuroendocrinology. 61(5). 559–565. 45 indexed citations
19.
Fang, Justin, et al.. (1995). Influenza Viral Infections Enhance Sleep in Mice. Experimental Biology and Medicine. 210(3). 242–252. 60 indexed citations
20.
Bredow, Sebastian, Balint Z Kacsoh, F. Obál, Justin Fang, & James M. Krueger. (1994). Increase of prolactin mRNA in the rat hypothalamus after intracerebroventricular injection of VIP or PACAP. Brain Research. 660(2). 301–308. 25 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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