Andrew J. Tsung

2.2k total citations
54 papers, 1.5k citations indexed

About

Andrew J. Tsung is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Andrew J. Tsung has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 21 papers in Cancer Research and 16 papers in Genetics. Recurrent topics in Andrew J. Tsung's work include Glioma Diagnosis and Treatment (12 papers), Cancer, Hypoxia, and Metabolism (12 papers) and MicroRNA in disease regulation (6 papers). Andrew J. Tsung is often cited by papers focused on Glioma Diagnosis and Treatment (12 papers), Cancer, Hypoxia, and Metabolism (12 papers) and MicroRNA in disease regulation (6 papers). Andrew J. Tsung collaborates with scholars based in United States, India and Canada. Andrew J. Tsung's co-authors include Kiran Kumar Velpula, Swapna Asuthkar, Maheedhara R. Guda, Collin M. Labak, Jasti S. Rao, Venkata Ramesh Dasari, Ian J. Purvis, Dzung H. Dinh, Meena Gujrati and Krishna Kumar Veeravalli and has published in prestigious journals such as PLoS ONE, Cancer Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Andrew J. Tsung

54 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew J. Tsung United States 25 706 495 366 352 284 54 1.5k
Yolanda Campos‐Martín Spain 16 568 0.8× 350 0.7× 166 0.5× 311 0.9× 297 1.0× 25 1.2k
Elisabetta Rovida Italy 28 1.1k 1.5× 365 0.7× 209 0.6× 395 1.1× 419 1.5× 78 2.0k
Christopher L. Tinkle United States 17 702 1.0× 496 1.0× 299 0.8× 654 1.9× 425 1.5× 58 1.9k
David Tran United States 20 528 0.7× 255 0.5× 568 1.6× 485 1.4× 167 0.6× 39 1.4k
Sina Koch Germany 15 1.3k 1.8× 288 0.6× 298 0.8× 417 1.2× 193 0.7× 22 2.0k
Nathalie A. Lokker United States 20 1.1k 1.5× 247 0.5× 328 0.9× 468 1.3× 293 1.0× 29 2.1k
Mark Winderlich Germany 12 896 1.3× 185 0.4× 110 0.3× 354 1.0× 352 1.2× 25 1.6k
Zhong-Ping Chen China 24 855 1.2× 530 1.1× 485 1.3× 316 0.9× 106 0.4× 44 1.5k
Caroline Delmas France 22 794 1.1× 433 0.9× 343 0.9× 408 1.2× 139 0.5× 37 1.4k
Michael H. Handler United States 29 1.1k 1.6× 435 0.9× 1.0k 2.8× 407 1.2× 263 0.9× 58 2.4k

Countries citing papers authored by Andrew J. Tsung

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Tsung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Tsung. 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 Andrew J. Tsung. The network helps show where Andrew J. Tsung may publish in the future.

Co-authorship network of co-authors of Andrew J. Tsung

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Tsung. A scholar is included among the top collaborators of Andrew J. Tsung 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 Andrew J. Tsung. Andrew J. Tsung 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.
Donato, Irene, Kiran Kumar Velpula, Andrew J. Tsung, Jack A. Tuszyński, & Consolato Sergi. (2023). Demystifying neuroblastoma malignancy through fractal dimension, entropy, and lacunarity. Tumori Journal. 109(4). 370–378. 5 indexed citations
2.
Tsung, Andrew J., et al.. (2023). Single-Stage Titanium Mesh Cranioplasty for the Treatment of Depressed Skull Fractures. World Neurosurgery. 173. e62–e65. 2 indexed citations
3.
4.
Guda, Maheedhara R., Swapna Asuthkar, Teluguakula Narasaraju, et al.. (2021). PAD Inhibitors as a Potential Treatment for SARS-CoV-2 Immunothrombosis. Biomedicines. 9(12). 1867–1867. 22 indexed citations
5.
Asuthkar, Swapna, et al.. (2020). Beyond glucose: alternative sources of energy in glioblastoma. Theranostics. 11(5). 2048–2057. 44 indexed citations
6.
Guda, Maheedhara R., Collin M. Labak, Swapna Asuthkar, et al.. (2019). GLUT1 and TUBB4 in Glioblastoma Could be Efficacious Targets. Cancers. 11(9). 1308–1308. 37 indexed citations
7.
Guda, Maheedhara R., et al.. (2018). An overview of MCT1 and MCT4 in GBM: small molecule transporters with large implications.. PubMed. 8(10). 1967–1976. 83 indexed citations
8.
Tsung, Andrew J., Maheedhara R. Guda, Swapna Asuthkar, et al.. (2017). Methylation regulates HEY1 expression in glioblastoma. Oncotarget. 8(27). 44398–44409. 25 indexed citations
9.
Agarwal, Pooja, et al.. (2017). Elucidating immunometabolic targets in glioblastoma.. PubMed. 7(10). 1990–1995. 5 indexed citations
10.
Asuthkar, Swapna, Maheedhara R. Guda, Sarah E. Martin, et al.. (2016). Hand1 overexpression inhibits medulloblastoma metastasis. Biochemical and Biophysical Research Communications. 477(2). 215–221. 6 indexed citations
11.
Yuen, Carlen, Swapna Asuthkar, Maheedhara R. Guda, Andrew J. Tsung, & Kiran Kumar Velpula. (2016). Cancer stem cell molecular reprogramming of the Warburg effect in glioblastomas: a new target gleaned from an old concept. CNS Oncology. 5(2). 101–108. 68 indexed citations
12.
Velpula, Kiran Kumar, et al.. (2013). Combined Targeting of PDK1 and EGFR Triggers Regression of Glioblastoma by Reversing the Warburg Effect. Cancer Research. 73(24). 7277–7289. 96 indexed citations
13.
Velpula, Kiran Kumar, Venkata Ramesh Dasari, Swapna Asuthkar, Bharathi Gorantla, & Andrew J. Tsung. (2012). EGFR and c-Met Cross Talk in Glioblastoma and Its Regulation by Human Cord Blood Stem Cells. Translational Oncology. 5(5). 379–IN18. 32 indexed citations
14.
Velpula, Kiran Kumar, Venkata Ramesh Dasari, Andrew J. Tsung, et al.. (2011). Regulation of Glioblastoma Progression by Cord Blood Stem Cells Is Mediated by Downregulation of Cyclin D1. PLoS ONE. 6(3). e18017–e18017. 22 indexed citations
15.
Chern, Joshua J., Andrew J. Tsung, William Humphries, Raymond Sawaya, & Frederick F. Lang. (2011). Clinical outcome of leukemia patients with intracranial hemorrhage. Journal of neurosurgery. 115(2). 268–272. 19 indexed citations
16.
Tsung, Andrew J., Sujit S. Prabhu, Xiudong Lei, et al.. (2011). Cerebellar glioblastoma: a retrospective review of 21 patients at a single institution. Journal of Neuro-Oncology. 105(3). 555–562. 27 indexed citations
17.
Velpula, Kiran Kumar, Venkata Ramesh Dasari, Andrew J. Tsung, Dzung H. Dinh, & Jasti S. Rao. (2011). Cord blood stem cells revert glioma stem cell EMT by down regulating transcriptional activation of Sox2 and Twist1. Oncotarget. 2(12). 1028–1042. 60 indexed citations
18.
Velpula, Kiran Kumar, Venkata Ramesh Dasari, Andrew J. Tsung, Dzung H. Dinh, & Jasti S. Rao. (2011). Transcriptional Repression of Mad-Max Complex by Human Umbilical Cord Blood Stem Cells Downregulates Extracellular Signal-Regulated Kinase in Glioblastoma. Stem Cells and Development. 21(10). 1779–1793. 11 indexed citations
19.
Dasari, Venkata Ramesh, Kiranpreet Kaur, Kiran Kumar Velpula, et al.. (2010). Downregulation of Focal Adhesion Kinase (FAK) by cord blood stem cells inhibits angiogenesis in glioblastoma. Aging. 2(11). 791–803. 22 indexed citations
20.
Veeravalli, Krishna Kumar, Venkata Ramesh Dasari, Andrew J. Tsung, et al.. (2009). Human umbilical cord blood stem cells upregulate matrix metalloproteinase-2 in rats after spinal cord injury. Neurobiology of Disease. 36(1). 200–212. 57 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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