Taher Abbasi

1.9k total citations
52 papers, 1.6k citations indexed

About

Taher Abbasi is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Taher Abbasi has authored 52 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 19 papers in Hematology and 17 papers in Cancer Research. Recurrent topics in Taher Abbasi's work include Cancer Genomics and Diagnostics (11 papers), Acute Myeloid Leukemia Research (11 papers) and Protein Degradation and Inhibitors (10 papers). Taher Abbasi is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Acute Myeloid Leukemia Research (11 papers) and Protein Degradation and Inhibitors (10 papers). Taher Abbasi collaborates with scholars based in United States, Singapore and Australia. Taher Abbasi's co-authors include Shireen Vali, Shweta Kapoor, Gautam Sethi, Muthu K. Shanmugam, Alan Prem Kumar, Kwang Seok Ahn, Peramaiyan Rajendran, Ashish K. Sharma, Kam M. Hui and Ansu Kumar and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Taher Abbasi

49 papers receiving 1.5k citations

Peers

Taher Abbasi
Ze Tian China
Dexin Kong China
Xing‐Xing Fan Macao
Cristina P. R. Xavier Portugal
Jun Hee Lim South Korea
Kunnathur Murugesan Sakthivel India
Xiaoying Huang China
Yuanyuan Wu China
Ze Tian China
Taher Abbasi
Citations per year, relative to Taher Abbasi Taher Abbasi (= 1×) peers Ze Tian

Countries citing papers authored by Taher Abbasi

Since Specialization
Citations

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

Fields of papers citing papers by Taher Abbasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taher Abbasi

This figure shows the co-authorship network connecting the top 25 collaborators of Taher Abbasi. A scholar is included among the top collaborators of Taher Abbasi 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 Taher Abbasi. Taher Abbasi 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.
Rahman, Rifaquat, Lorenzo Trippa, Stephanie Alden, et al.. (2020). Prediction of Outcomes with a Computational Biology Model in Newly Diagnosed Glioblastoma Patients Treated with Radiation Therapy and Temozolomide. International Journal of Radiation Oncology*Biology*Physics. 108(3). 716–724. 6 indexed citations
2.
Stevens, Brett M., Amanda Winters, Jonathan A. Gutman, et al.. (2019). Sequential azacitidine and lenalidomide for patients with relapsed and refractory acute myeloid leukemia: Clinical results and predictive modeling using computational analysis. Leukemia Research. 81. 43–49. 4 indexed citations
3.
Chong, Stephen Jun Fei, Jianhua Qu, Jayshree L. Hirpara, et al.. (2019). A feedforward relationship between active Rac1 and phosphorylated Bcl-2 is critical for sustaining Bcl-2 phosphorylation and promoting cancer progression. Cancer Letters. 457. 151–167. 22 indexed citations
4.
Drusbosky, Leylah, Kimberly E. Hawkins, Glenda G. Anderson, et al.. (2018). iCare 1: A prospective clinical trial to predict treatment response based on genomics-informed computational biology in patients with acute myeloid leukemia (AML) and myelodysplastic syndromes (MDS).. Journal of Clinical Oncology. 36(15_suppl). 7024–7024.
5.
Brogden, Kim A., Deepak Parashar, Terry A. Braun, et al.. (2018). Genomics of NSCLC patients both affirm PD-L1 expression and predict their clinical responses to anti-PD-1 immunotherapy. BMC Cancer. 18(1). 225–225. 21 indexed citations
6.
Bates, Amber M., et al.. (2017). Cell genomics and immunosuppressive biomarker expression influence PD-L1 immunotherapy treatment responses in HNSCC—a computational study. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 124(2). 157–164. 8 indexed citations
7.
Bates, Amber M., Carol L. Fischer, Deepak Parashar, et al.. (2016). Predicting PD-L1 expression on human cancer cells using next-generation sequencing information in computational simulation models. Cancer Immunology Immunotherapy. 65(12). 1511–1522. 17 indexed citations
8.
Brogden, Kim A., Shireen Vali, & Taher Abbasi. (2016). PD-L1 is a diverse molecule regulating both tumor-intrinsic signaling and adaptive immunosuppression. Translational Cancer Research. 5(S7). S1396–S1399. 7 indexed citations
9.
Kobayashi, Susumu, Shireen Vali, Ansu Kumar, et al.. (2016). Identification of myeloproliferative neoplasm drug agents via predictive simulation modeling: assessing responsiveness with micro-environment derived cytokines. Oncotarget. 7(24). 35989–36001. 7 indexed citations
10.
Doudican, Nicole, Ansu Kumar, Neeraj Singh, et al.. (2015). Personalization of cancer treatment using predictive simulation. Journal of Translational Medicine. 13(1). 43–43. 21 indexed citations
11.
Jiang, Pengfei, Ying S. Chao, Ila Sri Bharati, et al.. (2014). Novel anti-glioblastoma agents and therapeutic combinations identified from a collection of FDA approved drugs. Journal of Translational Medicine. 12(1). 13–13. 92 indexed citations
12.
Pingle, Sandeep C., Sandra Pastorino, Pengfei Jiang, et al.. (2014). In silico modeling predicts drug sensitivity of patient-derived cancer cells. Journal of Translational Medicine. 12(1). 128–128. 25 indexed citations
13.
Jiang, Pengfei, Rajesh Mukthavaram, Ying S. Chao, et al.. (2014). In vitro and in vivo anticancer effects of mevalonate pathway modulation on human cancer cells. British Journal of Cancer. 111(8). 1562–1571. 157 indexed citations
14.
Doudican, Nicole, Amitabha Mazumder, Shweta Kapoor, et al.. (2014). Predictive Simulation Approach for Designing Cancer Therapeutic Regimens with Novel Biological Mechanisms. Journal of Cancer. 5(6). 406–416. 9 indexed citations
15.
Brogden, Kim A., Georgia K. Johnson, Steven D. Vincent, Taher Abbasi, & Shireen Vali. (2013). Oral inflammation, a role for antimicrobial peptide modulation of cytokine and chemokine responses. Expert Review of Anti-infective Therapy. 11(10). 1097–1113. 20 indexed citations
16.
Ramachandran, Lalitha, Kanjoormana Aryan Manu, Muthu K. Shanmugam, et al.. (2013). Isorhamnetin inhibits proliferation and invasion and induces apoptosis through the modulation of peroxisome proliferator-activated receptor γ activation pathway in gastric cancer.. Journal of Biological Chemistry. 288(26). 18777–18777. 1 indexed citations
17.
Ramachandran, Lalitha, Kanjoormana Aryan Manu, Muthu K. Shanmugam, et al.. (2012). Isorhamnetin Inhibits Proliferation and Invasion and Induces Apoptosis through the Modulation of Peroxisome Proliferator-activated Receptor γ Activation Pathway in Gastric Cancer. Journal of Biological Chemistry. 287(45). 38028–38040. 126 indexed citations
18.
Rajendran, Peramaiyan, Feng Li, Muthu K. Shanmugam, et al.. (2011). Honokiol inhibits signal transducer and activator of transcription‐3 signaling, proliferation, and survival of hepatocellular carcinoma cells via the protein tyrosine phosphatase SHP‐1. Journal of Cellular Physiology. 227(5). 2184–2195. 136 indexed citations
19.
Shanmugam, Muthu K., Peramaiyan Rajendran, Feng Li, et al.. (2011). Ursolic acid inhibits multiple cell survival pathways leading to suppression of growth of prostate cancer xenograft in nude mice. Journal of Molecular Medicine. 89(7). 713–727. 122 indexed citations
20.
Abbasi, Taher, et al.. (1997). Logic synthesis using Synopsys (2nd ed.). Kluwer Academic Publishers eBooks. 18(2). 36–40. 7 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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