Tiesong Shang

684 total citations
8 papers, 590 citations indexed

About

Tiesong Shang is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Tiesong Shang has authored 8 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Neurology. Recurrent topics in Tiesong Shang's work include Mitochondrial Function and Pathology (4 papers), Neurological diseases and metabolism (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Tiesong Shang is often cited by papers focused on Mitochondrial Function and Pathology (4 papers), Neurological diseases and metabolism (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Tiesong Shang collaborates with scholars based in United States. Tiesong Shang's co-authors include Srigiridhar Kotamraju, Shasi V. Kalivendi, Balaraman Kalyanaraman, Cecilia J. Hillard, B. Kalyanaraman, Toshiyuki Matsunaga, Joy Joseph, Anuradha Dhanasekaran, Ágnes Keszler and Judy M. Hickman‐Davis and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and Free Radical Biology and Medicine.

In The Last Decade

Tiesong Shang

8 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tiesong Shang United States 8 329 132 99 81 60 8 590
Zhentai Huang United States 15 495 1.5× 113 0.9× 100 1.0× 64 0.8× 72 1.2× 21 760
B.G. Miguel Spain 15 288 0.9× 104 0.8× 93 0.9× 91 1.1× 23 0.4× 40 525
Steven R. Danielson United States 11 538 1.6× 196 1.5× 139 1.4× 96 1.2× 43 0.7× 11 822
Maria João Nunes Portugal 15 367 1.1× 112 0.8× 105 1.1× 103 1.3× 49 0.8× 25 653
Daniela P. Converso Argentina 12 475 1.4× 221 1.7× 56 0.6× 52 0.6× 51 0.8× 15 716
Teruyoshi Inoue Japan 18 442 1.3× 191 1.4× 100 1.0× 231 2.9× 65 1.1× 40 1.0k
Richard McNally United States 4 454 1.4× 105 0.8× 199 2.0× 135 1.7× 44 0.7× 5 751
En Huang Canada 10 337 1.0× 65 0.5× 87 0.9× 73 0.9× 83 1.4× 14 504
A. Biondi Italy 10 693 2.1× 182 1.4× 46 0.5× 57 0.7× 49 0.8× 13 1000
Christoph Ufer Germany 16 418 1.3× 78 0.6× 73 0.7× 90 1.1× 33 0.6× 26 792

Countries citing papers authored by Tiesong Shang

Since Specialization
Citations

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

Fields of papers citing papers by Tiesong Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiesong Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Tiesong Shang. A scholar is included among the top collaborators of Tiesong Shang 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 Tiesong Shang. Tiesong Shang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Kotamraju, Srigiridhar, Shasi V. Kalivendi, Tiesong Shang, & Balaraman Kalyanaraman. (2005). Nitric Oxide, Proteasomal Function, and Iron Homeostasis—Implications in Aging and Neurodegenerative Diseases. Methods in enzymology on CD-ROM/Methods in enzymology. 396. 526–534. 8 indexed citations
2.
Shang, Tiesong, Srigiridhar Kotamraju, Hongtao Zhao, et al.. (2005). Sepiapterin attenuates 1-methyl-4-phenylpyridinium-induced apoptosis in neuroblastoma cells transfected with neuronal NOS: Role of tetrahydrobiopterin, nitric oxide, and proteasome activation. Free Radical Biology and Medicine. 39(8). 1059–1074. 30 indexed citations
3.
Kotamraju, Srigiridhar, Sadis Matalon, Toshiyuki Matsunaga, et al.. (2005). Upregulation of immunoproteasomes by nitric oxide: Potential antioxidative mechanism in endothelial cells. Free Radical Biology and Medicine. 40(6). 1034–1044. 88 indexed citations
4.
Shang, Tiesong, Joy Joseph, Cecilia J. Hillard, & Balaraman Kalyanaraman. (2005). Death-associated Protein Kinase as a Sensor of Mitochondrial Membrane Potential. Journal of Biological Chemistry. 280(41). 34644–34653. 35 indexed citations
5.
Shang, Tiesong, Srigiridhar Kotamraju, Shasi V. Kalivendi, Cecilia J. Hillard, & B. Kalyanaraman. (2004). 1-Methyl-4-phenylpyridinium-induced Apoptosis in Cerebellar Granule Neurons Is Mediated by Transferrin Receptor Iron-dependent Depletion of Tetrahydrobiopterin and Neuronal Nitric-oxide Synthase-derived Superoxide. Journal of Biological Chemistry. 279(18). 19099–19112. 56 indexed citations
6.
Dhanasekaran, Anuradha, Srigiridhar Kotamraju, Shasi V. Kalivendi, et al.. (2004). Supplementation of Endothelial Cells with Mitochondria-targeted Antioxidants Inhibit Peroxide-induced Mitochondrial Iron Uptake, Oxidative Damage, and Apoptosis. Journal of Biological Chemistry. 279(36). 37575–37587. 203 indexed citations
7.
Shang, Tiesong, et al.. (2003). 1‐Methyl‐4‐phenylpyridinium accumulates in cerebellar granule neurons via organic cation transporter 3. Journal of Neurochemistry. 85(2). 358–367. 56 indexed citations
8.

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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2026