Srishti Abrol

456 total citations
12 papers, 335 citations indexed

About

Srishti Abrol is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Epidemiology. According to data from OpenAlex, Srishti Abrol has authored 12 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Genetics and 3 papers in Epidemiology. Recurrent topics in Srishti Abrol's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Glioma Diagnosis and Treatment (5 papers) and MRI in cancer diagnosis (3 papers). Srishti Abrol is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Glioma Diagnosis and Treatment (5 papers) and MRI in cancer diagnosis (3 papers). Srishti Abrol collaborates with scholars based in United States, Australia and Switzerland. Srishti Abrol's co-authors include Rivka R. Colen, Aikaterini Kotrotsou, Pascal O. Zinn, Islam Hassan, Nabil Elshafeey, Sara Ahmed, Gregory N. Fuller, Jay Acharya, Anand Agarwal and Jason T. Huse and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Scientific Reports.

In The Last Decade

Srishti Abrol

12 papers receiving 334 citations

Peers

Srishti Abrol
Haopeng Pang China
Sara Ahmed United States
Julián Pérez-Beteta Spain
Aida Muhic Denmark
Youngheun Jo South Korea
Ali Nabavizadeh United States
Guoqiang Yang China
Hyemin Um United States
Ginu Thomas United States
Haopeng Pang China
Srishti Abrol
Citations per year, relative to Srishti Abrol Srishti Abrol (= 1×) peers Haopeng Pang

Countries citing papers authored by Srishti Abrol

Since Specialization
Citations

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

Fields of papers citing papers by Srishti Abrol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srishti Abrol

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

All Works

12 of 12 papers shown
1.
2.
Abrol, Srishti, et al.. (2021). Endovascular Thrombectomy of COVID-19-Related Large Vessel Occlusion: A Systematic Review and Summary of the Literature. Current Radiology Reports. 9(4). 4–4. 7 indexed citations
3.
Elshafeey, Nabil, Aikaterini Kotrotsou, Islam Hassan, et al.. (2019). Multicenter study demonstrates radiomic features derived from magnetic resonance perfusion images identify pseudoprogression in glioblastoma. Nature Communications. 10(1). 3170–3170. 112 indexed citations
4.
Wahid, Kareem A., Aikaterini Kotrotsou, Srishti Abrol, et al.. (2018). Interrogating machine learning classifiers and dimensionality reduction techniques for radiomic prediction of glioma tumor grade.. Journal of Clinical Oncology. 36(15_suppl). 2031–2031. 1 indexed citations
5.
Kotrotsou, Aikaterini, Ahmed Elakkad, Jia Sun, et al.. (2018). Multi-center study finds postoperative residual non-enhancing component of glioblastoma as a new determinant of patient outcome. Journal of Neuro-Oncology. 139(1). 125–133. 33 indexed citations
6.
Zinn, Pascal O., Sanjay K. Singh, Aikaterini Kotrotsou, et al.. (2017). Distinct Radiomic Phenotypes Define Glioblastoma TP53-PTEN-EGFR Mutational Landscape. Neurosurgery. 64(CN_suppl_1). 203–210. 32 indexed citations
7.
Colen, Rivka R., Takeo Fujii, Mehmet Asım Bilen, et al.. (2017). Radiomics to predict immunotherapy-induced pneumonitis: proof of concept. Investigational New Drugs. 36(4). 601–607. 94 indexed citations
8.
Abrol, Srishti, et al.. (2017). Radiomic Phenotyping in Brain Cancer to Unravel Hidden Information in Medical Images. Topics in Magnetic Resonance Imaging. 26(1). 43–53. 30 indexed citations
9.
Hassan, Islam, Aikaterini Kotrotsou, Srishti Abrol, et al.. (2017). Silent Sentence Completion Shows Superiority Localizing Wernicke’s Area and Activation Patterns of Distinct Language Paradigms Correlate with Genomics: Prospective Study. Scientific Reports. 7(1). 12054–12054. 8 indexed citations
10.
Elshafeey, Nabil, Aikaterini Kotrotsou, Srishti Abrol, et al.. (2017). Multicenter study to demonstrate radiomic texture features derived from MR perfusion images of pseudoprogression compared to true progression in glioblastoma patients.. Journal of Clinical Oncology. 35(15_suppl). 2016–2016. 6 indexed citations
11.
Kotrotsou, Aikaterini, Srishti Abrol, Ahmed M. Hassan, et al.. (2017). NIMG-29. RADIOMIC ANALYSIS ON APPARENT DIFFUSION COEFFICIENT (ADC) MAPS PREDICTS PLATELET-DERIVED GROWTH FACTOR RECEPTOR ALPHA (PDGFRA) GENE AMPLIFICATION FOR NEWLY DIAGNOSED GLIOBLASTOMA PATIENTS. Neuro-Oncology. 19(suppl_6). vi148–vi148. 1 indexed citations
12.
Abrol, Srishti, Aikaterini Kotrotsou, Ahmed M. Hassan, et al.. (2017). Radiomic analysis of pseudo-progression compared to true progression in glioblastoma patients: A large-scale multi-institutional study.. Journal of Clinical Oncology. 35(15_suppl). 2015–2015. 8 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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