Girish Bathla

3.0k total citations
160 papers, 1.9k citations indexed

About

Girish Bathla is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Girish Bathla has authored 160 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Neurology, 45 papers in Pulmonary and Respiratory Medicine and 40 papers in Epidemiology. Recurrent topics in Girish Bathla's work include Glioma Diagnosis and Treatment (27 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and Cerebrovascular and Carotid Artery Diseases (19 papers). Girish Bathla is often cited by papers focused on Glioma Diagnosis and Treatment (27 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and Cerebrovascular and Carotid Artery Diseases (19 papers). Girish Bathla collaborates with scholars based in United States, India and Singapore. Girish Bathla's co-authors include Neetu Soni, Amit Agarwal, Amogh N. Hegde, Sarv Priya, Bruno Policeni, Colin P. Derdeyn, Edgar A. Samaniego, Prashant Nagpal, Sarika Gupta and Caitlin Ward and has published in prestigious journals such as Circulation Research, Stroke and Scientific Reports.

In The Last Decade

Girish Bathla

141 papers receiving 1.9k citations

Peers

Girish Bathla
Alida A. Postma Netherlands
Bruno Policeni United States
David S. Enterline United States
Dirk Lindner Germany
Joel K. Curé United States
Alida A. Postma Netherlands
Girish Bathla
Citations per year, relative to Girish Bathla Girish Bathla (= 1×) peers Alida A. Postma

Countries citing papers authored by Girish Bathla

Since Specialization
Citations

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

Fields of papers citing papers by Girish Bathla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Girish Bathla

This figure shows the co-authorship network connecting the top 25 collaborators of Girish Bathla. A scholar is included among the top collaborators of Girish Bathla 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 Girish Bathla. Girish Bathla 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.
Soni, Neetu, John C. Benson, Ramin A. Morshed, et al.. (2025). Loss of Enhancement in Vestibular Schwannomas Post Stereotactic Radiosurgery: Impact on Tumor Control and Serviceable Hearing. Otology & Neurotology. 47(2). e432–e438.
2.
Benson, John C., Matthew L. Carlson, Girish Bathla, et al.. (2025). Inner Ear Signal Abnormalities of Adjacent Intracranial Lipochoristoma. American Journal of Neuroradiology. 46(5). 1016–1021.
3.
Mark, Ian T., Neetu Soni, Felix E. Diehn, et al.. (2025). Deep Learning–Based Acceleration in MRI: Current Landscape and Clinical Applications in Neuroradiology. American Journal of Neuroradiology. 47(1). 9–16. 1 indexed citations
4.
Bathla, Girish, Neetu Soni, Amit P. Desai, et al.. (2025). Classification of schwannomas and the new naming convention for “neurofibromatosis-2”: Genetic updates and international consensus recommendation. The Neuroradiology Journal. 38(5). 533–542. 1 indexed citations
5.
Soni, Neetu, et al.. (2024). A Review of The Opportunities and Challenges with Large Language Models in Radiology: The Road Ahead. American Journal of Neuroradiology. 46(7). ajnr.A8589–ajnr.A8589. 7 indexed citations
6.
Mark, Ian T., Jeremy K. Cutsforth‐Gregory, Patrick H. Luetmer, et al.. (2024). Skull Base CSF Leaks: Potential Underlying Pathophysiology and Evaluation of Brain MR Imaging Findings Associated with Spontaneous Intracranial Hypotension. American Journal of Neuroradiology. 45(10). 1593–1596. 6 indexed citations
7.
Mark, Ian T., Kirk M. Welker, Dana Erickson, et al.. (2024). 7T MRI for Cushing Disease: A Single-Institution Experience and Literature Review. American Journal of Neuroradiology. 45(7). 971–976. 2 indexed citations
8.
Mark, Ian T., Jamie J. Van Gompel, Irina Bancos, et al.. (2024). Back to the Future: Dynamic Contrast-Enhanced Photon-Counting Detector CT for the Detection of Pituitary Adenoma in Cushing Disease. American Journal of Neuroradiology. 45(6). 743–746. 5 indexed citations
9.
Soni, Neetu, Manish Ora, Girish Bathla, et al.. (2024). Ependymal Tumors: Overview of the Recent World Health Organization Histopathologic and Genetic Updates with an Imaging Characteristic. American Journal of Neuroradiology. 45(11). 1624–1634. 1 indexed citations
10.
Webb, Mason, Bryan J. Neth, Jamie J. Van Gompel, et al.. (2023). Withdrawal of bevacizumab is associated with rebound growth of vestibular schwannomas in neurofibromatosis type 2-related schwannomatosis patients. Neuro-Oncology Advances. 5(1). vdad123–vdad123. 4 indexed citations
11.
Agarwal, Amit, Vivek Gupta, Amit Desai, et al.. (2023). Amyloid-related Imaging Abnormalities in Alzheimer Disease Treated with Anti–Amyloid-β Therapy. Radiographics. 43(9). e230009–e230009. 44 indexed citations
12.
Soni, Neetu, et al.. (2023). Unpacking the CNS Manifestations of Epstein-Barr Virus: An Imaging Perspective. American Journal of Neuroradiology. 44(9). 1002–1008. 6 indexed citations
14.
Priya, Sarv, Caitlin Ward, Thomas Locke, et al.. (2021). Glioblastoma and primary central nervous system lymphoma: differentiation using MRI derived first-order texture analysis – a machine learning study. The Neuroradiology Journal. 34(4). 320–328. 14 indexed citations
15.
Park, Brian J., Girish Bathla, Leslie A. Bruch, et al.. (2021). Single Center Experience with Isolated Spinal Cord Neurosarcoidosis. World Neurosurgery. 156. e398–e407. 4 indexed citations
16.
Dhanesha, Nirav, Manish Jain, Amit Kumar Tripathi, et al.. (2020). Targeting Myeloid-Specific Integrin α9β1 Improves Short- and Long-Term Stroke Outcomes in Murine Models With Preexisting Comorbidities by Limiting Thrombosis and Inflammation. Circulation Research. 126(12). 1779–1794. 30 indexed citations
17.
Roa, Jorge A., Sudeepta Dandapat, Santiago Ortega‐Gutiérrez, et al.. (2020). Quantifying Intra-Arterial Verapamil Response as a Diagnostic Tool for Reversible Cerebral Vasoconstriction Syndrome. American Journal of Neuroradiology. 41(10). 1869–1875. 5 indexed citations
18.
Garg, Aayushi, Girish Bathla, Kaustubh Limaye, et al.. (2020). Differential Risk Factors and Outcomes of Ischemic Stroke due to Cervical Artery Dissection in Young Adults. Cerebrovascular Diseases. 49(5). 509–515. 10 indexed citations
19.
Sullivan, Christopher Blake, Daniel Q. Sun, Zaid Al‐Qurayshi, et al.. (2018). Relationship of a “Fundal Fluid Cap” and Vestibular Schwannoma Volume: Analysis of Preoperative Radiographic Findings and Outcomes. Otology & Neurotology. 40(1). 108–113. 9 indexed citations
20.
Bathla, Girish, et al.. (2018). Neuroimaging Findings in Intracranial Sarcoid Phlebitis: A Case Report. Journal of Stroke and Cerebrovascular Diseases. 28(2). 369–370. 3 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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