Nagesh Rao

3.1k total citations
74 papers, 2.3k citations indexed

About

Nagesh Rao is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Nagesh Rao has authored 74 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 16 papers in Oncology and 16 papers in Genetics. Recurrent topics in Nagesh Rao's work include Genomic variations and chromosomal abnormalities (12 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Cancer Genomics and Diagnostics (8 papers). Nagesh Rao is often cited by papers focused on Genomic variations and chromosomal abnormalities (12 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Cancer Genomics and Diagnostics (8 papers). Nagesh Rao collaborates with scholars based in United States, Germany and Japan. Nagesh Rao's co-authors include Peter E. Liggett, M S Mitchell, June Kan‐Mitchell, Mark J. Pettenati, David T. Wong, Kathleen M. Sakamoto, Arie S. Belldegrun, Ram P. Singh, Sascha Hasan and Satendra Singh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Nagesh Rao

70 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nagesh Rao United States 26 1.3k 468 400 329 309 74 2.3k
Xiang‐Fu Wu China 17 3.1k 2.4× 658 1.4× 550 1.4× 356 1.1× 283 0.9× 110 4.1k
Ute Felbor Germany 26 1.7k 1.3× 722 1.5× 304 0.8× 405 1.2× 103 0.3× 84 4.2k
Cristiana Lo Nigro Italy 27 1.2k 0.9× 560 1.2× 697 1.7× 389 1.2× 430 1.4× 82 2.6k
Gaetano Romano United States 27 2.1k 1.6× 450 1.0× 723 1.8× 704 2.1× 181 0.6× 80 3.3k
Igor Dolgalev United States 25 1.7k 1.3× 420 0.9× 1.1k 2.7× 137 0.4× 425 1.4× 55 3.2k
Minoru Kimura Japan 32 1.5k 1.1× 297 0.6× 320 0.8× 842 2.6× 100 0.3× 136 3.3k
Christine A. Fargeas Germany 23 1.0k 0.8× 338 0.7× 832 2.1× 151 0.5× 195 0.6× 37 2.2k
Landian Hu China 30 1.9k 1.4× 295 0.6× 274 0.7× 610 1.9× 103 0.3× 79 2.6k
Elisha Roberson United States 17 1.4k 1.0× 282 0.6× 590 1.5× 289 0.9× 198 0.6× 29 2.8k
Jaime Millán Spain 29 1.6k 1.2× 236 0.5× 286 0.7× 137 0.4× 159 0.5× 50 2.8k

Countries citing papers authored by Nagesh Rao

Since Specialization
Citations

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

Fields of papers citing papers by Nagesh Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nagesh Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Nagesh Rao. A scholar is included among the top collaborators of Nagesh 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 Nagesh Rao. Nagesh 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.
Mullegama, Sureni V., Steven D. Klein, T. Niroshini Senaratne, et al.. (2017). De novo loss‐of‐function variants in STAG2 are associated with developmental delay, microcephaly, and congenital anomalies. American Journal of Medical Genetics Part A. 173(5). 1319–1327. 36 indexed citations
2.
Babu, Ramesh, Daniel L. Van Dyke, Prasad Koduru, et al.. (2017). Interphase Chromosome Profiling: A Method for Conventional Banded Chromosome Analysis Using Interphase Nuclei. Archives of Pathology & Laboratory Medicine. 142(2). 213–228. 2 indexed citations
3.
Zainabadi, Kayvan, Anuja Jain, Frank X. Donovan, et al.. (2014). One in four individuals of African-American ancestry harbors a 5.5 kb deletion at chromosome 11q13.1. Genomics. 103(4). 276–287. 5 indexed citations
4.
Basak, Saroj K., Mysore S. Veena, Scott Oh, et al.. (2013). Correction: The CD44highTumorigenic Subsets in Lung Cancer Biospecimens Are Enriched for Low miR-34a Expression. PLoS ONE. 8(9). 3 indexed citations
5.
Singh, Ram P., Satendra Singh, Nagesh Rao, et al.. (2013). The role of miRNA in inflammation and autoimmunity. Autoimmunity Reviews. 12(12). 1160–1165. 261 indexed citations
6.
7.
Kovochich, Anne, Michael D. Arensman, Nagesh Rao, et al.. (2012). HOXB7 promotes invasion and predicts survival in pancreatic adenocarcinoma. Cancer. 119(3). 529–539. 53 indexed citations
8.
Tirado, Carlos A, et al.. (2012). “T-cell prolymphocytic leukemia (T-PLL), a heterogeneous disease exemplified by two cases and the important role of cytogenetics: a multidisciplinary approach”. Experimental Hematology and Oncology. 1(1). 21–21. 8 indexed citations
9.
Szakmary, Akos, Andrew Cuddihy, Nora Rozengurt, et al.. (2011). Combined preconditioning and in vivo chemoselection with 6-thioguanine alone achieves highly efficient reconstitution of normal hematopoiesis with HPRT-deficient bone marrow. Experimental Hematology. 40(1). 3–13.e3. 9 indexed citations
10.
Yoshimoto, Koji, Julie Dang, Shaojun Zhu, et al.. (2008). Development of a Real-time RT-PCR Assay for Detecting EGFRvIII in Glioblastoma Samples. Clinical Cancer Research. 14(2). 488–493. 81 indexed citations
11.
Rao, Nagesh. (2005). New Imperialisms, New Imperatives: Taking Stock of Postcolonial Studies. Postcolonial text. 2(1). 1 indexed citations
12.
Shankar, Deepa, Jerry C. Cheng, Kentaro Kinjo, et al.. (2005). The role of CREB as a proto-oncogene in hematopoiesis and in acute myeloid leukemia. Cancer Cell. 7(4). 351–362. 199 indexed citations
13.
Zhou, Xiaofeng, Nagesh Rao, Steve W. Cole, et al.. (2005). Progress in concurrent analysis of loss of heterozygosity and comparative genomic hybridization utilizing high density single nucleotide polymorphism arrays. Cancer Genetics and Cytogenetics. 159(1). 53–57. 28 indexed citations
14.
Rao, Nagesh. (2004). Resistance and Representation: Postcolonial Fictions of Nations in Crisis. Postcolonial text. 1(1).
15.
16.
Selvan, Senthamil R., Andrew N. Cornforth, Nagesh Rao, et al.. (2004). Establishment and characterization of a human primary prostate carcinoma cell line, HH870. The Prostate. 63(1). 91–103. 6 indexed citations
17.
Zisman, Amnon, Allan J. Pantuck, Matthew Bui, et al.. (2003). LABAZ1: A metastatic tumor model for renal cell carcinoma expressing the carbonic anhydrase type 9 tumor antigen.. PubMed. 63(16). 4952–9. 13 indexed citations
18.
Gilbert, John R., Arun Kumar, Sarah E. Newey, et al.. (2000). Physical and cDNA Mapping in the <i>DBH</i> Region of Human Chromosome 9q34. Human Heredity. 50(3). 151–157. 5 indexed citations
19.
Pettenati, Mark J. & Nagesh Rao. (1991). Triple trisomy in a 17-week-old fetus. Human Genetics. 87(2). 239–240. 4 indexed citations
20.
Pettenati, Mark J., Ivan Šubrt, Nagesh Rao, et al.. (1991). 45,X/47,XYY mosaicism: Clinical discrepancy between prenatally and postnatally diagnosed cases. American Journal of Medical Genetics. 39(1). 42–47. 27 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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