Dinesh Cyanam

1.0k total citations
9 papers, 240 citations indexed

About

Dinesh Cyanam is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dinesh Cyanam has authored 9 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dinesh Cyanam's work include Cancer Genomics and Diagnostics (5 papers), RNA modifications and cancer (4 papers) and Ferroptosis and cancer prognosis (3 papers). Dinesh Cyanam is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), RNA modifications and cancer (4 papers) and Ferroptosis and cancer prognosis (3 papers). Dinesh Cyanam collaborates with scholars based in United States and Switzerland. Dinesh Cyanam's co-authors include Liliana Florea, Sujit S. Nair, Jeyanthy Eswaran, Suzanne A.W. Fuqua, Sucheta Godbole, Sirigiri Divijendra Natha Reddy, Prakriti Mudvari, Kazufumi Ohshiro, Kornélia Polyák and Rakesh Kumar and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Scientific Reports.

In The Last Decade

Dinesh Cyanam

7 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dinesh Cyanam United States 4 182 98 51 26 17 9 240
Yang Duan China 7 221 1.2× 59 0.6× 54 1.1× 28 1.1× 13 0.8× 16 266
Jingying Cao China 7 237 1.3× 68 0.7× 68 1.3× 29 1.1× 13 0.8× 11 289
Nuno Saraiva-Agostinho Portugal 4 203 1.1× 84 0.9× 37 0.7× 29 1.1× 11 0.6× 8 252
Chun-Ting Cheng United States 7 215 1.2× 106 1.1× 75 1.5× 16 0.6× 13 0.8× 7 263
Huangzhen Wang China 8 225 1.2× 135 1.4× 60 1.2× 26 1.0× 16 0.9× 8 268
James Melott United States 4 257 1.4× 119 1.2× 23 0.5× 38 1.5× 16 0.9× 5 293
Ryan J. Quinton United States 6 167 0.9× 69 0.7× 50 1.0× 19 0.7× 12 0.7× 9 270
Nina D. Rintala‐Maki Canada 8 322 1.8× 121 1.2× 49 1.0× 30 1.2× 12 0.7× 9 360
Danxi Zhu China 7 149 0.8× 77 0.8× 31 0.6× 15 0.6× 17 1.0× 8 200
Roberto Ciaccio Italy 3 184 1.0× 48 0.5× 53 1.0× 22 0.8× 14 0.8× 4 229

Countries citing papers authored by Dinesh Cyanam

Since Specialization
Citations

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

Fields of papers citing papers by Dinesh Cyanam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dinesh Cyanam

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

All Works

9 of 9 papers shown
1.
Tom, Warren, Ruchi Chaudhary, Vinay Kumar Mittal, et al.. (2019). Abstract 1701: Improvement of tumor mutation burden measurement by removal of deaminated bases in FFPE DNA. Cancer Research. 79(13_Supplement). 1701–1701. 2 indexed citations
2.
Tom, Warren, Ruchi Chaudhary, Vinay Kumar Mittal, et al.. (2019). Abstract 1701: Improvement of tumor mutation burden measurement by removal of deaminated bases in FFPE DNA. 1701–1701. 1 indexed citations
3.
Chaudhary, Ruchi, Luca Quagliata, Ilaria Alborelli, et al.. (2018). A scalable solution for tumor mutational burden from formalin-fixed, paraffin-embedded samples using the Oncomine Tumor Mutation Load Assay. Translational Lung Cancer Research. 7(5). 616–630. 30 indexed citations
4.
Cyanam, Dinesh, Adam Broomer, David Mandelman, et al.. (2017). Somatic mutation burden in cancer samples determined by targeted next generation sequencing.. Journal of Clinical Oncology. 35(7_suppl). 15–15. 3 indexed citations
5.
Chaudhary, Ruchi, Adam Broomer, Dinesh Cyanam, et al.. (2017). Estimating tumor mutation burden using next-generation sequencing assay.. Journal of Clinical Oncology. 35(15_suppl). e14529–e14529. 2 indexed citations
6.
Bandla, Santhoshi, Christopher Zurenko, Dinesh Cyanam, et al.. (2016). Oncomine Knowledgebase Reporter: An information management system to link published evidence with cancer gene variants detected by multivariate tests.. Journal of Clinical Oncology. 34(15_suppl). e20667–e20667.
7.
Eddy, Sean, Mary Ellen Urick, Nickolay A. Khazanov, et al.. (2013). Abstract C256: Expanded clinical opportunities for crizotinib from an analysis of over 5,000 cancer patient exomes.. Molecular Cancer Therapeutics. 12(11_Supplement). C256–C256.
8.
Eswaran, Jeyanthy, Anélia Horvath, Sucheta Godbole, et al.. (2013). RNA sequencing of cancer reveals novel splicing alterations. Scientific Reports. 3(1). 1689–1689. 131 indexed citations
9.
Eswaran, Jeyanthy, Dinesh Cyanam, Prakriti Mudvari, et al.. (2012). Transcriptomic landscape of breast cancers through mRNA sequencing. Scientific Reports. 2(1). 264–264. 71 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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