Rajan Jain

14.2k total citations · 1 hit paper
164 papers, 6.4k citations indexed

About

Rajan Jain is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Rajan Jain has authored 164 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Genetics, 81 papers in Radiology, Nuclear Medicine and Imaging and 33 papers in Neurology. Recurrent topics in Rajan Jain's work include Glioma Diagnosis and Treatment (83 papers), Radiomics and Machine Learning in Medical Imaging (45 papers) and MRI in cancer diagnosis (39 papers). Rajan Jain is often cited by papers focused on Glioma Diagnosis and Treatment (83 papers), Radiomics and Machine Learning in Medical Imaging (45 papers) and MRI in cancer diagnosis (39 papers). Rajan Jain collaborates with scholars based in United States, India and South Korea. Rajan Jain's co-authors include Tom Mikkelsen, Lisa Scarpace, Lonni Schultz, Laila Poisson, Jack Rock, Brent Griffith, Shehanaz Ellika, Jayant Narang, John P. Deveikis and Sohil H. Patel and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Rajan Jain

156 papers receiving 6.2k 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.

Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas

2018 325 citations Laila Poisson, Rajan Jain et al. American Journal of Neuroradiology profile →

Peers

Countries citing papers authored by Rajan Jain

Since Specialization

Citations

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

Fields of papers citing papers by Rajan Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajan Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Rajan Jain. A scholar is included among the top collaborators of Rajan Jain 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 Rajan Jain. Rajan Jain 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	A Radiologist's Guide to IDH-Wildtype Glioblastoma for Efficient Communication With Clinicians: Part I-Essential Information on Preoperative and Immediate Postoperative Imaging 2025 ·Korean Journal of Radiology ·Philipp Kickingereder, Philipp Karschnia, Felix Sahm, Yae Won Park, Sung Soo Ahn, Rajan Jain	3
2	A Radiologist’s Guide to IDH-Wildtype Glioblastoma for Efficient Communication With Clinicians: Part II–Essential Information on Post-Treatment Imaging 2025 ·Korean Journal of Radiology ·Philipp Kickingereder, Philipp Karschnia, Felix Sahm, Yae Won Park, Sung Soo Ahn, Rajan Jain	1
3	A comprehensive multicenter analysis of clinical, molecular, and imaging characteristics and outcomes of H3 K27–altered diffuse midline glioma in adults 2025 ·Journal of neurosurgery ·Yongsik Sim, Andrew C. McClelland, (unknown), Kyunghwa Han, Yae Won Park, Sung Soo Ahn, Jong Hee Chang, Se Hoon Kim, Sharon L. Gardner, Seung‐Koo Lee, Rajan Jain	1
4	T2-FLAIR Mismatch Sign Predicts DNA Methylation Subclass and CDKN2A/B Status in IDH -Mutant Astrocytomas 2024 ·Clinical Cancer Research ·Matthew Lee, Rajan Jain, Kristyn Galbraith, (unknown), (unknown), Sohil H. Patel, Dimitris G. Placantonakis, David Zagzag, (unknown), (unknown), John G. Golfinos, Daniel A. Orringer, Matija Snuderl	2
5	Multinodular and Vacuolating Neuronal Tumor–like Lesion of the Spinal Cord: Two Case Reports 2024 ·American Journal of Neuroradiology ·(unknown), (unknown), (unknown), Matthew Breen, (unknown), Rajan Jain, Johan Van Goethem	1
6	MRI-Based Deep Learning Method for Classification of IDH Mutation Status 2023 ·Bioengineering ·Chandan Ganesh Bangalore Yogananda, Benjamin Wagner, (unknown), (unknown), (unknown), (unknown), Kimmo J. Hatanpaa, Toral Patel, Baowei Fei, Matthew Lee, Rajan Jain, Richard J. Bruce, Marco C. Pinho, Ananth J. Madhuranthakam, Joseph A. Maldjian	14
7	Hemorrhagic stroke and anticoagulation in COVID-19 2020 ·Journal of Stroke and Cerebrovascular Diseases ·Siddhant Dogra, Rajan Jain, Meng Cao, Seda Bilaloglu, David Zagzag, Sarah Hochman, Ariane Lewis, Kara Melmed, Katherine Hochman, Leora I. Horwitz, Steven Galetta, Jeffrey S. Berger	127
8	Serial Imaging of Virus-Associated Necrotizing Disseminated Acute Leukoencephalopathy (VANDAL) in COVID-19 2020 ·American Journal of Neuroradiology ·Shashank Agarwal, (unknown), Vinh Nguyen, Siddhant Dogra, Penina Krieger, David Zagzag, Ariane Lewis, Kara Melmed, Steven Galetta, Rajan Jain	11
9	Cerebral Venous Thrombosis Associated with COVID-19 2020 ·American Journal of Neuroradiology ·Daniel D. Cavalcanti, Eytan Raz, Maksim Shapiro, Seena Dehkharghani, Shadi Yaghi, Kaitlyn Lillemoe, Erez Nossek, Jose Torres, Rajan Jain, Howard A. Riina, Alireza Radmanesh, Peter Kim Nelson	170
10	Prognostic Value of Preoperative MRI Metrics for Diffuse Lower-Grade Glioma Molecular Subtypes 2020 ·American Journal of Neuroradiology ·(unknown), Prem P. Batchala, James T. Patrie, Laila Poisson, M. Beatriz S. Lopes, Rajan Jain, Camilo E. Fadul, David Schiff, Sohil H. Patel	11
11	COVID-19 related neuroimaging findings: A signal of thromboembolic complications and a strong prognostic marker of poor patient outcome 2020 ·Journal of the Neurological Sciences ·Rajan Jain, Matthew Young, Siddhant Dogra, (unknown), Vinh Nguyen, Simon Jones, Seda Bilaloglu, Katherine Hochman, Eytan Raz, Steven Galetta, (unknown)	129
12	Neuroimaging-Based Classification Algorithm for Predicting 1p/19q-Codeletion Status in IDH-Mutant Lower Grade Gliomas 2019 ·American Journal of Neuroradiology ·Prem P. Batchala, Thomas Jose Eluvathingal Muttikkal, Joseph Donahue, James T. Patrie, David Schiff, Camilo E. Fadul, (unknown), M. Beatriz S. Lopes, Rajan Jain, Sohil H. Patel	62
13	Extent of Surgical Resection in Lower-Grade Gliomas: Differential Impact Based on Molecular Subtype 2019 ·American Journal of Neuroradiology ·Sohil H. Patel, Anmol Bansal, (unknown), Prem P. Batchala, James T. Patrie, M. Beatriz S. Lopes, Rajan Jain, Camilo E. Fadul, David Schiff	70
14	T2–FLAIR Mismatch, an Imaging Biomarker for IDH and 1p/19q Status in Lower-grade Gliomas: A TCGA/TCIA Project 2017 ·Clinical Cancer Research ·Sohil H. Patel, Laila Poisson, Daniel J. Brat, Yueren Zhou, Lee Cooper, Matija Snuderl, Cheddhi Thomas, Ana M. Franceschi, Brent Griffith, Adam E. Flanders, John G. Golfinos, S. Andrew, Rajan Jain	283
15	Diagnostic Accuracy of Neuroimaging to Delineate Diffuse Gliomas within the Brain: A Meta-Analysis 2017 ·American Journal of Neuroradiology ·Niels Verburg, F.W.A. Hoefnagels, Frederik Barkhof, Ronald Boellaard, Serge Goldman, (unknown), J.J. Heimans, Otto S. Hoekstra, Rajan Jain, Manabu Kinoshita, Petra J. W. Pouwels, Stephen J. Price, Jaap C. Reijneveld, Andreas Stadlbauer, W. Peter Vandertop, Pieter Wesseling, Aeilko H. Zwinderman, Philip C. De Witt Hamer	37
16	Comparison of efficacy of haloperidol and olanzapine in the treatment of delirium 2017 ·Indian Journal of Psychiatry ·Rajan Jain, Priti Arun, Ajeet Sidana, Atul Sachdev	8
17	Integrative Analysis of mRNA, microRNA, and Protein Correlates of Relative Cerebral Blood Volume Values in GBM Reveals the Role for Modulators of Angiogenesis and Tumor Proliferation 2016 ·SHILAP Revista de lepidopterología ·Arvind Rao, Ganiraju C. Manyam, (unknown), Rajan Jain	0
18	Model selection for DCE‐T1 studies in glioblastoma 2011 ·Magnetic Resonance in Medicine ·Hassan Bagher‐Ebadian, Rajan Jain, Siamak P. Nejad‐Davarani, Tom Mikkelsen, Mei Lü, Quan Jiang, Lisa Scarpace, Ali S. Arbab, Jayant Narang, Hamid Soltanian‐Zadeh, Ramesh Paudyal, James R. Ewing	67
19	Role of Perfusion CT in Glioma Grading and Comparison with Conventional MR Imaging Features 2007 ·American Journal of Neuroradiology ·Shehanaz Ellika, Rajan Jain, Suresh Patel, Lisa Scarpace, Lonni Schultz, Jack Rock, Tom Mikkelsen	90
20	Case 68: Hirayama Disease 2004 ·Radiology ·Dheeraj Gandhi, Mayank Goyal, Pierre R. Bourque, Rajan Jain	27

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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