Sujit S. Prabhu

8.7k total citations · 2 hit papers
150 papers, 4.6k citations indexed

About

Sujit S. Prabhu is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sujit S. Prabhu has authored 150 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Genetics, 51 papers in Radiology, Nuclear Medicine and Imaging and 40 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sujit S. Prabhu's work include Glioma Diagnosis and Treatment (77 papers), Meningioma and schwannoma management (35 papers) and Brain Metastases and Treatment (32 papers). Sujit S. Prabhu is often cited by papers focused on Glioma Diagnosis and Treatment (77 papers), Meningioma and schwannoma management (35 papers) and Brain Metastases and Treatment (32 papers). Sujit S. Prabhu collaborates with scholars based in United States, United Kingdom and Canada. Sujit S. Prabhu's co-authors include Jeffrey S. Weinberg, Ganesh Rao, Raymond Sawaya, Dima Suki, Mark R. Gilbert, Frederick F. Lang, Ian E. McCutcheon, Edward F. Jackson, Amy B. Heimberger and Ping Hou and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Brain.

In The Last Decade

Sujit S. Prabhu

140 papers receiving 4.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Randomized Double-Blind Placebo-Controlled Trial of Bevacizumab Therapy for Radiation Necrosis of the Central Nervous System

2010 513 citations Ping Hou, Sujit S. Prabhu et al. International Journal of Radiation Oncology*Biology*Physics profile →
Single-cell analysis of human glioma and immune cells identifies S100A4 as an immunotherapy target

2022 245 citations Nourhan Abdelfattah, Parveen Kumar et al. Nature Communications profile →

Peers

Countries citing papers authored by Sujit S. Prabhu

Since Specialization

Citations

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

Fields of papers citing papers by Sujit S. Prabhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sujit S. Prabhu. 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 Sujit S. Prabhu. The network helps show where Sujit S. Prabhu may publish in the future.

Co-authorship network of co-authors of Sujit S. Prabhu

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Improving postsurgical paresis in brain tumor patients by transcranial magnetic stimulation 2025 ·Journal of Neuro-Oncology ·Tizian Rosenstock, Thomas Picht, Melina Engelhardt, Ulrike Grittner, (unknown), Peter Vajkoczy, José Pedro Lavrador, (unknown), Francesco Vergani, (unknown), (unknown), (unknown), (unknown), Sujit S. Prabhu, Sarah Prinsloo, Bernhard Meyer, Sebastian Ille, Sandro M. Krieg	1
2	Probabilistic Presurgical Language fMRI Atlas of Patients with Brain Tumors 2024 ·American Journal of Neuroradiology ·(unknown), Vinodh A. Kumar, (unknown), (unknown), Ping Hou, (unknown), Kyle R. Noll, Wei Peng, Sherise D. Ferguson, Sujit S. Prabhu, Max Wintermark, Ho‐Ling Liu	0
3	Laser interstitial thermal therapy for new and recurrent meningioma: a prospective and retrospective case series 2024 ·Journal of neurosurgery ·Veronica Chiang, (unknown), (unknown), Analiz Rodriguez, Sujit S. Prabhu, (unknown), Peter E. Fecci, Dimitris G. Placantonakis, Steven R. Abram, Bradley Lega, Albert H. Kim	5
4	Short-term predictors of stereotactic radiosurgery outcome for untreated single non-small cell lung cancer brain metastases: a restrospective cohort study 2024 ·Neurosurgical Review ·(unknown), Dhiego Chaves de Almeida Bastos, (unknown), Eberval Gadelha Figueiredo‬‬‬, Francisco de Assis de Souza Filho, Sujit S. Prabhu	1
5	MD Anderson Phase III Randomized Preoperative Stereotactic Radiosurgery (SRS) vs. Postoperative SRS for Brain Metastases Trial 2023 ·International Journal of Radiation OncologyBiologyPhysics ·D.N. Yeboa, (unknown), Sujit S. Prabhu, J. Li, (unknown), Jeffrey S. Weinberg, (unknown), Ian E. McCutcheon, T.A. Swanson, (unknown), Susan L. McGovern, Richard B. North, M.F. McAleer, Christopher Alvarez‐Breckenridge, Wen Jiang, Chibawanye Ene, (unknown), Frederick F. Lang, Ganesh Rao, Sherise D. Ferguson	2
6	Subependymomas of the fourth ventricle: To operate or not to operate? 2023 ·Journal of Clinical Neuroscience ·Ali S. Haider, Ian E. McCutcheon, Chibawanye Ene, Gregory N. Fuller, Donald F. Schomer, Maria Gule-Monroe, Franco DeMonte, Sherise D. Ferguson, Frederick F. Lang, Sujit S. Prabhu, Shaan M. Raza, Dima Suki, Jeffrey S. Weinberg, Raymond Sawaya	0
7	Intracranial mesenchymal tumor, FET::CREB fusion-positive in the lateral ventricle 2023 ·Neuro-Oncology Advances ·(unknown), Jason M. Johnson, Barbara O’Brien, Ian E. McCutcheon, Sujit S. Prabhu, Amol J. Ghia, Gregory N. Fuller, Jason T. Huse, Leomar Y. Ballester	2
8	Single-cell analysis of human glioma and immune cells identifies S100A4 as an immunotherapy target breakdown → 2022 ·Nature Communications ·Nourhan Abdelfattah, Parveen Kumar, (unknown), Jia-Shiun Leu, William F. Flynn, Ruli Gao, David S. Baskin, Kumar Pichumani, Omkar B. Ijare, (unknown), Suzanne Z. Powell, David L. Haviland, Brittany C. Parker Kerrigan, Frederick F. Lang, Sujit S. Prabhu, Kristin Huntoon, Wen Jiang, Betty Y.S. Kim, Joshy George, Kyuson Yun	245
9	Cellular Density in Adult Glioma, Estimated with MR Imaging Data and a Machine Learning Algorithm, Has Prognostic Power Approaching World Health Organization Histologic Grading in a Cohort of 1181 Patients 2022 ·American Journal of Neuroradiology ·(unknown), Dima Suki, (unknown), Jeffrey S. Weinberg, Sujit S. Prabhu, Raymond Sawaya, Jason T. Huse, James P. Long, David Fuentes, Dawid Schellingerhout	0
10	Long term outcomes following surgery for pineal region tumors 2022 ·Journal of Neuro-Oncology ·Matthew J. Shepard, Ali S. Haider, Sujit S. Prabhu, Raymond Sawaya, Franco DeMonte, Ian E. McCutcheon, Jeffrey S. Weinberg, Sherise D. Ferguson, Dima Suki, Gregory N. Fuller, Frederick F. Lang	13
11	Effect of brain normalization methods on the construction of functional connectomes from resting‐state functional MRI in patients with gliomas 2021 ·Magnetic Resonance in Medicine ·Henry Chen, Vinodh A. Kumar, Jason M. Johnson, Melissa Chen, Kyle R. Noll, Ping Hou, Sujit S. Prabhu, Donald F. Schomer, Ho‐Ling Liu	9
12	Delayed FDG PET Provides Superior Glioblastoma Conspicuity Compared to Conventional Image Timing 2021 ·Frontiers in Neurology ·Jason M. Johnson, Melissa Chen, Eric Rohren, Sujit S. Prabhu, Beth Chasen, Osama Mawlawi, Ho‐Ling Liu, Maria Gule-Monroe	5
13	Imaging-Based Algorithm for the Local Grading of Glioma 2020 ·American Journal of Neuroradiology ·(unknown), (unknown), Jeffrey S. Weinberg, Sujit S. Prabhu, Jackson Hamilton, John D. Hazle, Gregory N. Fuller, Veerabhadran Baladandayuthapani, David Fuentes, Dawid Schellingerhout	11
14	Estimating Local Cellular Density in Glioma Using MR Imaging Data 2020 ·American Journal of Neuroradiology ·(unknown), Jeffrey S. Weinberg, Sujit S. Prabhu, (unknown), Jackson Hamilton, John D. Hazle, Gregory N. Fuller, Veerabhadran Baladandayuthapani, David Fuentes, Dawid Schellingerhout	12
15	Spatial Distance Correlates With Genetic Distance in Diffuse Glioma 2019 ·Frontiers in Oncology ·(unknown), Jie Yang, Kazutaka Fukumura, (unknown), Jeffrey S. Weinberg, Sujit S. Prabhu, Lihong Long, David Fuentes, Erik P. Sulman, Jason T. Huse, Dawid Schellingerhout	7
16	Performance Assessment for Brain MR Imaging Registration Methods 2017 ·American Journal of Neuroradiology ·(unknown), David Fuentes, Adam G. Chandler, Sujit S. Prabhu, Jeffrey S. Weinberg, Veerabhadran Baladandayuthapani, John D. Hazle, Dawid Schellingerhout	9
17	Combining Functional Studies with Intraoperative MRI in Glioma Surgery 2017 ·Neurosurgery Clinics of North America ·Daria Krivosheya, Sujit S. Prabhu	10
18	Laser interstitial thermal therapy for newly diagnosed and recurrent glioblastoma 2016 ·Neurosurgical FOCUS ·(unknown), Ganesh Rao, Yvonne Kew, Sujit S. Prabhu	88
19	Glioma-Associated Cytomegalovirus Mediates Subversion of the Monocyte Lineage to a Tumor Propagating Phenotype 2011 ·Clinical Cancer Research ·Kristine Dziurzynski, Jun Wei, Wei Qiao, Mustafa Aziz Hatiboğlu, Ling-Yuan Kong, Adam Wu, Yongtao Wang, Daniel P. Cahill, Nicholas B. Levine, Sujit S. Prabhu, Ganesh Rao, Raymond Sawaya, Amy B. Heimberger	111
20	Vorinostat modulates cell cycle regulatory proteins in glioma cells and human glioma slice cultures 2011 ·Journal of Neuro-Oncology ·Jihong Xu, Deepa Sampath, Frederick F. Lang, Sujit S. Prabhu, Ganesh Rao, Gregory N. Fuller, Yuanfang Liu, Vinay K. Puduvalli	37

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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