Shyam Nyati

1.0k total citations
39 papers, 663 citations indexed

About

Shyam Nyati is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Shyam Nyati has authored 39 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 20 papers in Oncology and 9 papers in Genetics. Recurrent topics in Shyam Nyati's work include DNA Repair Mechanisms (8 papers), Cancer-related Molecular Pathways (7 papers) and CAR-T cell therapy research (5 papers). Shyam Nyati is often cited by papers focused on DNA Repair Mechanisms (8 papers), Cancer-related Molecular Pathways (7 papers) and CAR-T cell therapy research (5 papers). Shyam Nyati collaborates with scholars based in United States, Switzerland and Iceland. Shyam Nyati's co-authors include Alnawaz Rehemtulla, Rosmarie Honegger, Brian D. Ross, Mukesh K. Nyati, Rahul Iyengar, Gary D. Luker, Kathryn E. Luker, Silke Werth, Dipankar Ray and Corey Speers and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shyam Nyati

36 papers receiving 660 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shyam Nyati United States 14 374 218 135 105 83 39 663
Philip M. Santiago United States 7 390 1.0× 254 1.2× 155 1.1× 164 1.6× 76 0.9× 10 813
Atsushi Kaida Japan 15 284 0.8× 135 0.6× 102 0.8× 55 0.5× 27 0.3× 34 525
Vasileia Sapountzi United Kingdom 9 786 2.1× 273 1.3× 86 0.6× 45 0.4× 72 0.9× 11 1.1k
Matthew A. Coelho United Kingdom 9 708 1.9× 403 1.8× 101 0.7× 129 1.2× 112 1.3× 12 1.1k
Balint Otvos United States 13 284 0.8× 201 0.9× 73 0.5× 99 0.9× 21 0.3× 27 647
Nayantara Kothari United States 8 476 1.3× 203 0.9× 107 0.8× 46 0.4× 48 0.6× 10 648
Giuseppina Giglia‐Mari France 10 940 2.5× 264 1.2× 157 1.2× 41 0.4× 90 1.1× 21 1.1k
Émilie Louvet France 16 551 1.5× 199 0.9× 56 0.4× 43 0.4× 41 0.5× 23 805
Erin A. White United States 11 639 1.7× 188 0.9× 81 0.6× 31 0.3× 55 0.7× 11 1.0k
Charles A.S. Banks United States 20 1.2k 3.3× 145 0.7× 107 0.8× 41 0.4× 122 1.5× 36 1.4k

Countries citing papers authored by Shyam Nyati

Since Specialization
Citations

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

Fields of papers citing papers by Shyam Nyati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shyam Nyati

This figure shows the co-authorship network connecting the top 25 collaborators of Shyam Nyati. A scholar is included among the top collaborators of Shyam Nyati 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 Shyam Nyati. Shyam Nyati 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.
Chen, Wei‐Min, Oudai Hassan, Farzan Siddiqui, et al.. (2024). BUB1 regulates non-homologous end joining pathway to mediate radioresistance in triple-negative breast cancer. Journal of Experimental & Clinical Cancer Research. 43(1). 163–163. 6 indexed citations
2.
Siddiqui, Farzan, et al.. (2024). Optimizing Pancreatic Cancer Therapy: The Promise of Immune Stimulatory Oncolytic Viruses. International Journal of Molecular Sciences. 25(18). 9912–9912. 3 indexed citations
3.
Hassan, Oudai, Stephen L. Brown, Farzan Siddiqui, et al.. (2024). BUB1 Inhibition Overcomes Radio- and Chemoradiation Resistance in Lung Cancer. Cancers. 16(19). 3291–3291. 1 indexed citations
4.
Speers, Corey, et al.. (2024). Present and Future of Immunotherapy for Triple-Negative Breast Cancer. Cancers. 16(19). 3250–3250. 7 indexed citations
5.
6.
7.
Siddiqui, Farzan, et al.. (2024). BUB1 Inhibition Sensitizes TNBC Cell Lines to Chemotherapy and Radiotherapy. Biomolecules. 14(6). 625–625. 4 indexed citations
8.
Freytag, Svend O., Stephen L. Brown, Jae Ho Kim, et al.. (2023). Oncolytic virus-based suicide gene therapy for cancer treatment: a perspective of the clinical trials conducted at Henry Ford Health. SHILAP Revista de lepidopterología. 8(1). 11–11. 16 indexed citations
9.
Nyati, Shyam, Hans Stricker, Kenneth Barton, et al.. (2023). A phase I clinical trial of oncolytic adenovirus mediated suicide and interleukin-12 gene therapy in patients with recurrent localized prostate adenocarcinoma. PLoS ONE. 18(9). e0291315–e0291315. 13 indexed citations
10.
Brown, Stephen L., et al.. (2022). Molecular targets that sensitize cancer to radiation killing: From the bench to the bedside. Biomedicine & Pharmacotherapy. 158. 114126–114126. 15 indexed citations
11.
Michmerhuizen, Anna R., Rachel Schwartz, Benjamin C. Chandler, et al.. (2020). Abstract 6271: Hormone receptor inhibition as a strategy for radiosensitization of breast cancer. Cancer Research. 80(16_Supplement). 6271–6271.
12.
Michmerhuizen, Anna R., Benjamin C. Chandler, Kari Wilder-Romans, et al.. (2019). PARP1 Inhibition Radiosensitizes Models of Inflammatory Breast Cancer to Ionizing Radiation. Molecular Cancer Therapeutics. 18(11). 2063–2073. 41 indexed citations
13.
Nyati, Shyam, Grant M. Young, Brian D. Ross, & Alnawaz Rehemtulla. (2017). Quantitative and Dynamic Imaging of ATM Kinase Activity by Bioluminescence Imaging. Methods in molecular biology. 1599. 97–111. 5 indexed citations
14.
Nyati, Shyam, et al.. (2013). NanoLuc Reporter for Dual Luciferase Imaging in Living Animals. Molecular Imaging. 12(7). 1–13. 117 indexed citations
15.
Nyati, Shyam, Debashish Bhattacharya, Silke Werth, & Rosmarie Honegger. (2013). Phylogenetic analysis of LSU and SSU rDNA group I introns of lichen photobionts associated with the genera Xanthoria and Xanthomendoza (Teloschistaceae, lichenized Ascomycetes). Journal of Phycology. 49(6). 1154–1166. 13 indexed citations
16.
Williams, Terence M., Shyam Nyati, Brian D. Ross, & Alnawaz Rehemtulla. (2013). Molecular Imaging of the ATM Kinase Activity. International Journal of Radiation Oncology*Biology*Physics. 86(5). 969–977. 10 indexed citations
17.
Nyati, Shyam, et al.. (2011). Molecular Imaging of TGFβ-Induced Smad2/3 Phosphorylation Reveals a Role for Receptor Tyrosine Kinases in Modulating TGFβ Signaling. Clinical Cancer Research. 17(23). 7424–7439. 37 indexed citations
18.
Ahsan, Aarif, Susan M. Hiniker, Susmita G. Ramanand, et al.. (2010). Role of Epidermal Growth Factor Receptor Degradation in Cisplatin-Induced Cytotoxicity in Head and Neck Cancer. Cancer Research. 70(7). 2862–2869. 57 indexed citations
19.
Khan, Amjad, et al.. (2010). High-Throughput Molecular Imaging for the Identification of FADD Kinase Inhibitors. SLAS DISCOVERY. 15(9). 1063–1070. 8 indexed citations
20.
Nyati, Shyam, Andreas Beck, & Rosmarie Honegger. (2007). Fine Structure and Phylogeny of Green Algal Photobionts in the Microfilamentous Genus Psoroglaena (Verrucariaceae, Lichen‐Forming Ascomycetes). Plant Biology. 9(3). 390–399. 23 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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