Chang Su

1.3k total citations
26 papers, 1.0k citations indexed

About

Chang Su is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Chang Su has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 5 papers in Behavioral Neuroscience. Recurrent topics in Chang Su's work include Stress Responses and Cortisol (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Nerve injury and regeneration (4 papers). Chang Su is often cited by papers focused on Stress Responses and Cortisol (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Nerve injury and regeneration (4 papers). Chang Su collaborates with scholars based in United States, China and Taiwan. Chang Su's co-authors include Meharvan Singh, Rebecca L. Cunningham, Nataliya Rybalchenko, Rebecca A. Deaton, Stephen R. Grant, William H. Cline, Hajime Kawasaki, San‐Pin Wu, Jenna N. Regan and Mark W. Majesky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Brain Research.

In The Last Decade

Chang Su

26 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang Su United States 17 437 236 181 149 119 26 1.0k
Stephanie J. Fischer United States 10 370 0.8× 294 1.2× 82 0.5× 93 0.6× 141 1.2× 10 1.0k
Lynnette M. Gerhold United States 11 178 0.4× 273 1.2× 237 1.3× 177 1.2× 78 0.7× 12 955
Sabina Luchetti Netherlands 17 301 0.7× 278 1.2× 125 0.7× 102 0.7× 86 0.7× 24 1.2k
Amutha Selvamani United States 15 328 0.8× 113 0.5× 131 0.7× 160 1.1× 69 0.6× 18 957
Wei‐Jye Lin China 21 748 1.7× 315 1.3× 64 0.4× 64 0.4× 221 1.9× 49 1.5k
Isabel Gonçalves Portugal 24 290 0.7× 256 1.1× 124 0.7× 121 0.8× 228 1.9× 57 1.2k
Elena Milanesi Romania 18 430 1.0× 144 0.6× 186 1.0× 45 0.3× 173 1.5× 60 1.1k
Monica M. Oblinger United States 20 391 0.9× 548 2.3× 143 0.8× 118 0.8× 109 0.9× 31 1.1k
Heiner Westphal United States 10 556 1.3× 564 2.4× 157 0.9× 92 0.6× 138 1.2× 22 1.2k
Hitoe Nishino Japan 22 404 0.9× 582 2.5× 125 0.7× 41 0.3× 159 1.3× 67 2.1k

Countries citing papers authored by Chang Su

Since Specialization
Citations

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

Fields of papers citing papers by Chang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Su. A scholar is included among the top collaborators of Chang Su 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 Chang Su. Chang Su 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.
Ho, Ka Yan, Yen‐Ni Hung, Chang Su, et al.. (2019). Pre-treatment quality of life as a predictor of distant metastasis-free survival and overall survival in patients with head and neck cancer who underwent free flap reconstruction. European Journal of Oncology Nursing. 41. 1–6. 7 indexed citations
3.
Zhao, Mei, Yuan Li, Lili Huang, et al.. (2018). Maternal lipopolysaccharide exposure results in glucose metabolism disorders and sex hormone imbalance in male offspring. Molecular and Cellular Endocrinology. 474. 272–283. 6 indexed citations
4.
Nguyen, Trinh, Chang Su, & Meharvan Singh. (2018). Let-7i inhibition enhances progesterone-induced functional recovery in a mouse model of ischemia. Proceedings of the National Academy of Sciences. 115(41). E9668–E9677. 23 indexed citations
5.
Singh, Meharvan, et al.. (2016). Effects of Oxidative Stress and Testosterone on Pro-Inflammatory Signaling in a Female Rat Dopaminergic Neuronal Cell Line. Endocrinology. 157(7). 2824–2835. 55 indexed citations
6.
Sun, Fen, Trinh Nguyen, Xin Jin, et al.. (2016). Pgrmc1/BDNF Signaling Plays a Critical Role in Mediating Glia-Neuron Cross Talk. Endocrinology. 157(5). 2067–2079. 29 indexed citations
7.
Su, Chang, Fen Sun, Rebecca L. Cunningham, Nataliya Rybalchenko, & Meharvan Singh. (2014). ERK5/KLF4 signaling as a common mediator of the neuroprotective effects of both nerve growth factor and hydrogen peroxide preconditioning. AGE. 36(4). 9685–9685. 36 indexed citations
8.
Wu, San‐Pin, et al.. (2013). Tbx18 regulates development of the epicardium and coronary vessels. Developmental Biology. 383(2). 307–320. 76 indexed citations
9.
Singh, Meharvan & Chang Su. (2013). Progesterone-induced neuroprotection: Factors that may predict therapeutic efficacy. Brain Research. 1514. 98–106. 36 indexed citations
10.
Singh, Meharvan, et al.. (2013). Non-genomic mechanisms of progesterone action in the brain. Frontiers in Neuroscience. 7. 159–159. 95 indexed citations
11.
Kuang, Meng, et al.. (2013). Construction of a primary DNA fingerprint database for cotton cultivars. Genetics and Molecular Research. 12(2). 1897–1906. 8 indexed citations
12.
Singh, Meharvan & Chang Su. (2012). Progesterone, brain-derived neurotrophic factor and neuroprotection. Neuroscience. 239. 84–91. 49 indexed citations
13.
Su, Chang, Nataliya Rybalchenko, & Derek A. Schreihofer. (2012). Cell Models for the Study of Sex Steroid Hormone Neurobiology. PubMed. 1(S2). 17 indexed citations
14.
Su, Chang, Rebecca L. Cunningham, Nataliya Rybalchenko, & Meharvan Singh. (2012). Progesterone Increases the Release of Brain-Derived Neurotrophic Factor from Glia via Progesterone Receptor Membrane Component 1 (Pgrmc1)-Dependent ERK5 Signaling. Endocrinology. 153(9). 4389–4400. 82 indexed citations
15.
Singh, Meharvan & Chang Su. (2012). Progesterone and neuroprotection. Hormones and Behavior. 63(2). 284–290. 139 indexed citations
16.
Su, Chang, et al.. (2011). ERK1/2 and ERK5 have distinct roles in the regulation of brain‐derived neurotrophic factor expression. Journal of Neuroscience Research. 89(10). 1542–1550. 26 indexed citations
17.
18.
Deaton, Rebecca A., et al.. (2005). Transforming Growth Factor-β1-induced Expression of Smooth Muscle Marker Genes Involves Activation of PKN and p38 MAPK. Journal of Biological Chemistry. 280(35). 31172–31181. 108 indexed citations
19.
Hsiao, Kuang‐Ming, Hongliang Pan, Chin‐Chang Huang, et al.. (2003). Epidemiological and Genetic Studies of Myotonic Dystrophy Type 1 in Taiwan. Neuroepidemiology. 22(5). 283–289. 21 indexed citations
20.
Kawasaki, Hajime, William H. Cline, & Chang Su. (1984). Involvement of the vascular renin-angiotensin system in beta adrenergic receptor-mediated facilitation of vascular neurotransmission in spontaneously hypertensive rats.. Journal of Pharmacology and Experimental Therapeutics. 231(1). 23–32. 69 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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