Chandra Rao

1.2k total citations
24 papers, 842 citations indexed

About

Chandra Rao is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chandra Rao has authored 24 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 6 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chandra Rao's work include Cancer Cells and Metastasis (10 papers), Cancer Research and Treatments (3 papers) and Multiple Myeloma Research and Treatments (3 papers). Chandra Rao is often cited by papers focused on Cancer Cells and Metastasis (10 papers), Cancer Research and Treatments (3 papers) and Multiple Myeloma Research and Treatments (3 papers). Chandra Rao collaborates with scholars based in United States, Netherlands and Austria. Chandra Rao's co-authors include Leon W.M.M. Terstappen, Paul A. Liberti, Mark C. Connelly, Tanja Fehm, Larry E. Morrison, Jonathan W. Uhr, Thomas F. Tucker, Thomas Ried, David Euhus and Edward Clifford and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Chandra Rao

24 papers receiving 817 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chandra Rao United States 14 502 335 259 217 180 24 842
N. Gabrail United States 14 569 1.1× 309 0.9× 288 1.1× 221 1.0× 112 0.6× 32 924
Silvia Vosseler Germany 15 350 0.7× 333 1.0× 588 2.3× 122 0.6× 235 1.3× 17 1.2k
Juan Tornín Spain 18 257 0.5× 244 0.7× 436 1.7× 283 1.3× 134 0.7× 26 1.0k
Natalia Bednarz‐Knoll Poland 16 481 1.0× 344 1.0× 280 1.1× 209 1.0× 117 0.7× 28 800
Chiara Spadazzi Italy 22 612 1.2× 224 0.7× 424 1.6× 363 1.7× 177 1.0× 53 1.2k
Monika L. Burness United States 15 907 1.8× 408 1.2× 644 2.5× 141 0.6× 333 1.9× 31 1.5k
Lanlan Hui China 8 306 0.6× 215 0.6× 411 1.6× 127 0.6× 177 1.0× 9 848
Massimiliano Cariati United Kingdom 10 453 0.9× 194 0.6× 313 1.2× 90 0.4× 106 0.6× 21 784
Diego de Miguel‐Pérez Spain 19 457 0.9× 574 1.7× 589 2.3× 271 1.2× 125 0.7× 59 1.1k
Melanie Janning Germany 14 320 0.6× 208 0.6× 266 1.0× 122 0.6× 104 0.6× 33 746

Countries citing papers authored by Chandra Rao

Since Specialization
Citations

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

Fields of papers citing papers by Chandra Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandra Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Chandra Rao. A scholar is included among the top collaborators of Chandra Rao 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 Chandra Rao. Chandra Rao 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.
Zhang, Tian, Anika Agarwal, Rengasamy Boominathan, et al.. (2021). Expression of immune checkpoints on circulating tumor cells in men with metastatic prostate cancer. Biomarker Research. 9(1). 14–14. 31 indexed citations
2.
Beck, Tim N., Yanis Boumber, Charu Aggarwal, et al.. (2019). Circulating tumor cell and cell-free RNA capture and expression analysis identify platelet-associated genes in metastatic lung cancer. BMC Cancer. 19(1). 603–603. 32 indexed citations
3.
Zhang, Tian, Rengasamy Boominathan, Chandra Rao, et al.. (2018). Expression of immune checkpoints (ICs) on circulating tumor cells (CTCs) in men with metastatic prostate cancer (mPC).. Journal of Clinical Oncology. 36(15_suppl). 5059–5059. 1 indexed citations
4.
Muse, Evan D., Haiying Wang, Paddy Barrett, et al.. (2017). A Whole Blood Molecular Signature for Acute Myocardial Infarction. Scientific Reports. 7(1). 59 indexed citations
5.
Aggarwal, Charu, Xingmei Wang, Anjana Ranganathan, et al.. (2017). Circulating tumor cells as a predictive biomarker in patients with small cell lung cancer undergoing chemotherapy. Lung Cancer. 112. 118–125. 44 indexed citations
6.
Thompson, Jeffrey C., Samantha L. Savitch, Ryan Fan, et al.. (2017). Abstract 3736: Characterization of tumor cells and assessment of PD-L1 expression in pleural effusions of metastatic non-small cell lung cancer patients. Cancer Research. 77(13_Supplement). 3736–3736. 1 indexed citations
7.
Zhang, Tian, Rengasamy Boominathan, Brad Foulk, et al.. (2016). Development of a Novel c-MET–Based CTC Detection Platform. Molecular Cancer Research. 14(6). 539–547. 36 indexed citations
8.
9.
Zhang, Tian, Rengasamy Boominathan, Brad Foulk, et al.. (2015). Evaluation of a novel c-MET based circulating tumor cell (CTC) biomarker in patients with gastrointestinal malignancies.. Journal of Clinical Oncology. 33(3_suppl). 84–84. 1 indexed citations
10.
11.
Thompson, Jeffrey C., Gordon H. Yu, Anil Vachani, et al.. (2013). Use of Circulating Tumor Cell Technology (CELLSEARCH) for the Diagnosis of Malignant Pleural Effusions. Annals of the American Thoracic Society. 10(6). 582–589. 19 indexed citations
12.
Bitting, Rhonda L., Rengasamy Boominathan, Chandra Rao, et al.. (2013). Development of a method to isolate circulating tumor cells using mesenchymal-based capture. Methods. 64(2). 129–136. 35 indexed citations
13.
Rao, Chandra, Paul Schmitz, Jaco Kraan, et al.. (2008). Correlation between circulating endothelial cell counts and plasma thrombomodulin levels as markers for endothelial damage. Thrombosis and Haemostasis. 100(10). 642–647. 28 indexed citations
14.
Rowand, Jason L., Grace Martin, Gerald V. Doyle, et al.. (2007). Endothelial cells in peripheral blood of healthy subjects and patients with metastatic carcinomas. Cytometry Part A. 71A(2). 105–113. 102 indexed citations
15.
Fehm, Tanja, Arthur I. Sagalowsky, Edward Clifford, et al.. (2002). Cytogenetic evidence that circulating epithelial cells in patients with carcinoma are malignant.. PubMed. 8(7). 2073–84. 241 indexed citations
16.
Tibbe, Arjan G.J., B.G. de Grooth, Jan Greve, et al.. (2002). Cell analysis system based on compact disk technology. Cytometry. 47(3). 173–182. 14 indexed citations
17.
Tibbe, Arjan G.J., B.G. de Grooth, Jan Greve, et al.. (2002). Magnetic field design for selecting and aligning immunomagnetic labeled cells. Cytometry. 47(3). 163–172. 40 indexed citations
18.
Rao, Chandra, et al.. (2002). <title>CellTracks: Cell analysis system for rare cell detection</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4625. 20–28. 3 indexed citations
19.
Liberti, Paul A., Chandra Rao, & Leon W.M.M. Terstappen. (2001). Optimization of ferrofluids and protocols for the enrichment of breast tumor cells in blood. Journal of Magnetism and Magnetic Materials. 225(1-2). 301–307. 101 indexed citations
20.
Gomella, Leonard G., José Moreno, Paul A. Liberti, et al.. (1999). QUANTITATION OF THE CIRCULATING HEMATOGENOUS TUMOR CELL LOAD IN PROSTATE CANCER. The Journal of Urology. 98–98. 1 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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