Vikram Rao

816 total citations
23 papers, 548 citations indexed

About

Vikram Rao is a scholar working on Pulmonary and Respiratory Medicine, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Vikram Rao has authored 23 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 8 papers in Cognitive Neuroscience and 8 papers in Psychiatry and Mental health. Recurrent topics in Vikram Rao's work include Cancer-related cognitive impairment studies (9 papers), Glioma Diagnosis and Treatment (7 papers) and Functional Brain Connectivity Studies (7 papers). Vikram Rao is often cited by papers focused on Cancer-related cognitive impairment studies (9 papers), Glioma Diagnosis and Treatment (7 papers) and Functional Brain Connectivity Studies (7 papers). Vikram Rao collaborates with scholars based in United States, India and Australia. Vikram Rao's co-authors include Shelli R. Kesler, Cindy K. Miranti, Joan S. Brugge, Senthil K. Muthuswamy, Beatrice S. Knudsen, Sheri L. Moores, Oxana Palesh, Rebecca A. Harrison, Vaughn R. Steele and Vince D. Calhoun and has published in prestigious journals such as Journal of Clinical Oncology, NeuroImage and Molecular and Cellular Biology.

In The Last Decade

Vikram Rao

22 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikram Rao United States 13 204 135 105 101 89 23 548
Lydia Tam United States 8 163 0.8× 280 2.1× 75 0.7× 187 1.9× 51 0.6× 18 804
Rasheed Zakaria United Kingdom 18 286 1.4× 264 2.0× 130 1.2× 114 1.1× 56 0.6× 67 943
Terry W. Hood United States 14 180 0.9× 241 1.8× 110 1.0× 160 1.6× 89 1.0× 24 808
Jennifer L. Aron United States 8 36 0.2× 170 1.3× 118 1.1× 242 2.4× 254 2.9× 8 1.1k
Eleonora Marchina Italy 16 25 0.1× 62 0.5× 39 0.4× 292 2.9× 36 0.4× 41 728
Ahmet Okay Çağlayan Türkiye 18 71 0.3× 54 0.4× 43 0.4× 482 4.8× 88 1.0× 79 1.1k
Chaoshi Niu China 14 58 0.3× 103 0.8× 88 0.8× 200 2.0× 65 0.7× 35 719
Taekwan Kim South Korea 15 57 0.3× 13 0.1× 110 1.0× 358 3.5× 199 2.2× 32 951
Elena Pasini Italy 18 165 0.8× 78 0.6× 95 0.9× 154 1.5× 32 0.4× 53 842
Rodney Collins United States 8 53 0.3× 25 0.2× 69 0.7× 204 2.0× 12 0.1× 8 534

Countries citing papers authored by Vikram Rao

Since Specialization
Citations

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

Fields of papers citing papers by Vikram Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikram Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Vikram Rao. A scholar is included among the top collaborators of Vikram 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 Vikram Rao. Vikram 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.
Chiang, Sharon, John Andrews, Ehsan Tadayon, et al.. (2025). Influences of electrode density on intracranial seizure localisation: a single-blinded randomised crossover study. EBioMedicine. 113. 105606–105606. 1 indexed citations
2.
Rao, Vikram, et al.. (2024). Penetrating injury and retained toothpick causing bleeding from esophageal varix. Gastrointestinal Endoscopy. 100(6). 1116–1117. 1 indexed citations
3.
Rao, Vikram, et al.. (2022). Prevention and Management of Sudden Cardiac Death in Athletes. 7(2). 73–77. 1 indexed citations
4.
Kesler, Shelli R., et al.. (2022). Predicting overall survival in diffuse glioma from the presurgical connectome. Scientific Reports. 12(1). 18783–18783. 5 indexed citations
5.
6.
Phillips, Nicholas S., et al.. (2021). Changes in Brain Functional and Effective Connectivity After Treatment for Breast Cancer and Implications for Intervention Targets. Brain Connectivity. 12(4). 385–397. 6 indexed citations
7.
Harrison, Rebecca A., Vikram Rao, & Shelli R. Kesler. (2021). The association of genetic polymorphisms with neuroconnectivity in breast cancer patients. Scientific Reports. 11(1). 6169–6169. 15 indexed citations
8.
Henneghan, Ashley M., Vikram Rao, Rebecca A. Harrison, et al.. (2020). Cortical Brain Age from Pre-treatment to Post-chemotherapy in Patients with Breast Cancer. Neurotoxicity Research. 37(4). 788–799. 26 indexed citations
9.
Kesler, Shelli R., et al.. (2020). Functional connectome biotypes of chemotherapy-related cognitive impairment. Journal of Cancer Survivorship. 14(4). 483–493. 19 indexed citations
10.
11.
Henneghan, Ashley M., Chris Sidey‐Gibbons, Rebecca A. Harrison, et al.. (2019). Predicting Patient Reported Outcomes of Cognitive Function Using Connectome-Based Predictive Modeling in Breast Cancer. Brain Topography. 33(1). 135–142. 12 indexed citations
12.
Steele, Vaughn R., et al.. (2019). Adolescent Psychopathic Traits Negatively Relate to Hemodynamic Activity within the Basal Ganglia during Error-Related Processing. Journal of Abnormal Child Psychology. 47(12). 1917–1929. 5 indexed citations
13.
Kesler, Shelli R., Rebecca A. Harrison, Vikram Rao, et al.. (2019). Pre-surgical connectome features predict IDH status in diffuse gliomas. Oncotarget. 10(60). 6484–6493. 13 indexed citations
14.
Kiehl, Kent A., Nathaniel E. Anderson, Eyal Aharoni, et al.. (2018). Age of gray matters: Neuroprediction of recidivism. NeuroImage Clinical. 19. 813–823. 31 indexed citations
15.
Kesler, Shelli R., et al.. (2017). Probability of Alzheimer's disease in breast cancer survivors based on gray‐matter structural network efficiency. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 9(1). 67–75. 37 indexed citations
16.
Anderson, Nathaniel E., Vaughn R. Steele, Vikram Rao, et al.. (2017). Differentiating emotional processing and attention in psychopathy with functional neuroimaging. Cognitive Affective & Behavioral Neuroscience. 17(3). 491–515. 38 indexed citations
17.
Kleckner, Ian R., Richard Ν. Aslin, Charles E. Heckler, et al.. (2017). A longitudinal brain fMRI study of chemotherapy-induced peripheral neuropathy in 50 breast cancer patients.. Journal of Clinical Oncology. 35(15_suppl). 10095–10095. 2 indexed citations
18.
Steele, Vaughn R., Vikram Rao, Vince D. Calhoun, & Kent A. Kiehl. (2015). Machine learning of structural magnetic resonance imaging predicts psychopathic traits in adolescent offenders. NeuroImage. 145(Pt B). 265–273. 29 indexed citations
19.
Zhang, Yuhua, Martin Hegen, Jun Xu, et al.. (2004). Characterization of (2R, 3S)-2-({[4-(2-butynyloxy)phenyl]sulfonyl}amino)-N,3-dihydroxybutanamide, a potent and selective inhibitor of TNF-α converting enzyme. International Immunopharmacology. 4(14). 1845–1857. 48 indexed citations
20.
Knudsen, Beatrice S., Sheri L. Moores, Senthil K. Muthuswamy, et al.. (2004). Epidermal Growth Factor Receptor-Dependent Regulation of Integrin-Mediated Signaling and Cell Cycle Entry in Epithelial Cells. Molecular and Cellular Biology. 24(19). 8586–8599. 133 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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