Subhash Tummala

513 total citations
12 papers, 220 citations indexed

About

Subhash Tummala is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Subhash Tummala has authored 12 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pathology and Forensic Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Biomedical Engineering. Recurrent topics in Subhash Tummala's work include Multiple Sclerosis Research Studies (10 papers), Ultrasound Imaging and Elastography (3 papers) and Ultrasound and Hyperthermia Applications (3 papers). Subhash Tummala is often cited by papers focused on Multiple Sclerosis Research Studies (10 papers), Ultrasound Imaging and Elastography (3 papers) and Ultrasound and Hyperthermia Applications (3 papers). Subhash Tummala collaborates with scholars based in United States, Switzerland and Canada. Subhash Tummala's co-authors include Rohit Bakshi, Shahamat Tauhid, Renxin Chu, Howard L. Weiner, Brian C. Healy, Gloria Kim, Fariha Khalid, Pia Kivisäkk, Keren Regev and Tanuja Chitnis and has published in prestigious journals such as Neurology, Journal of the Neurological Sciences and Medical Image Analysis.

In The Last Decade

Subhash Tummala

12 papers receiving 219 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subhash Tummala United States 9 138 62 48 42 41 12 220
Ludwig Rasche Germany 11 230 1.7× 84 1.4× 68 1.4× 28 0.7× 18 0.4× 15 305
Alfredo Granata Italy 7 70 0.5× 108 1.7× 71 1.5× 66 1.6× 67 1.6× 9 288
René M. Gieß Germany 11 224 1.6× 85 1.4× 73 1.5× 27 0.6× 23 0.6× 16 333
Dolores González‐Morón Argentina 10 105 0.8× 119 1.9× 43 0.9× 12 0.3× 13 0.3× 19 346
Gorm Pihl-Jensen Denmark 8 207 1.5× 74 1.2× 64 1.3× 9 0.2× 18 0.4× 16 345
Richard Daniëls United States 4 228 1.7× 38 0.6× 48 1.0× 30 0.7× 36 0.9× 6 324
Robert M. Friedlander United States 4 42 0.3× 82 1.3× 71 1.5× 36 0.9× 8 0.2× 7 264
Aaron Day-Williams United Kingdom 14 75 0.5× 132 2.1× 65 1.4× 40 1.0× 7 0.2× 18 453
Rajiv W. Jain Canada 9 94 0.7× 65 1.0× 41 0.9× 11 0.3× 12 0.3× 13 308
Sam Loveless United Kingdom 8 207 1.5× 89 1.4× 81 1.7× 12 0.3× 18 0.4× 10 406

Countries citing papers authored by Subhash Tummala

Since Specialization
Citations

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

Fields of papers citing papers by Subhash Tummala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhash Tummala

This figure shows the co-authorship network connecting the top 25 collaborators of Subhash Tummala. A scholar is included among the top collaborators of Subhash Tummala 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 Subhash Tummala. Subhash Tummala 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.
AbdelRazek, Mahmoud A., Subhash Tummala, Fariha Khalid, et al.. (2022). Exploring the effect of glatiramer acetate on cerebral gray matter atrophy in multiple sclerosis. Journal of the Neurological Sciences. 444. 120501–120501. 2 indexed citations
2.
Hemond, Christopher C., Renxin Chu, Subhash Tummala, et al.. (2018). Whole‐brain atrophy assessed by proportional‐ versus registration‐based pipelines from 3TMRIin multiple sclerosis. Brain and Behavior. 8(8). e01068–e01068. 8 indexed citations
3.
Meier, Dominik, Charles R.G. Guttmann, Subhash Tummala, et al.. (2017). Dual‐Sensitivity Multiple Sclerosis Lesion and CSF Segmentation for Multichannel 3T Brain MRI. Journal of Neuroimaging. 28(1). 36–47. 35 indexed citations
4.
Tummala, Subhash, et al.. (2017). Spinal Cord as an Adjunct to Brain Magnetic Resonance Imaging in Defining “No Evidence of Disease Activity” in Multiple Sclerosis. International Journal of MS Care. 19(3). 158–164. 7 indexed citations
5.
Tauhid, Shahamat, Renxin Chu, Subhash Tummala, et al.. (2017). A two-year study using cerebral gray matter volume to assess the response to fingolimod therapy in multiple sclerosis. Journal of the Neurological Sciences. 383. 221–229. 17 indexed citations
6.
Gros, Charley, Benjamin De Leener, Sara M. Dupont, et al.. (2017). Automatic spinal cord localization, robust to MRI contrasts using global curve optimization. Medical Image Analysis. 44. 215–227. 26 indexed citations
7.
Regev, Keren, Brian C. Healy, Fariha Khalid, et al.. (2017). Association Between Serum MicroRNAs and Magnetic Resonance Imaging Measures of Multiple Sclerosis Severity. JAMA Neurology. 74(3). 275–275. 59 indexed citations
8.
Kim, Gloria, Shahamat Tauhid, Subhash Tummala, et al.. (2016). An MRI-defined measure of cerebral lesion severity to assess therapeutic effects in multiple sclerosis. Journal of Neurology. 263(3). 531–538. 9 indexed citations
9.
Tummala, Subhash, Renxin Chu, Fariha Khalid, et al.. (2016). Cortical Thickness Measurements from 1.5T vs. 3T MRI in Healthy Subjects and Patients with Multiple Sclerosis (P4.179). Neurology. 86(16_supplement). 2 indexed citations
10.
Kim, Gloria, Shahamat Tauhid, Bonnie I. Glanz, et al.. (2016). The Contribution of Cortical Lesions to a Composite MRI Scale of Disease Severity in Multiple Sclerosis. Frontiers in Neurology. 7. 99–99. 9 indexed citations
11.
Bakshi, Rohit, Ada Yeste, Bonny Patel, et al.. (2016). Serum lipid antibodies are associated with cerebral tissue damage in multiple sclerosis. Neurology Neuroimmunology & Neuroinflammation. 3(2). e200–e200. 30 indexed citations
12.
Tauhid, Shahamat, Gloria Kim, Renxin Chu, et al.. (2015). MRI detection of hypointense brain lesions in patients with multiple sclerosis: T1 spin-echo vs. gradient-echo. European Journal of Radiology. 84(8). 1564–1568. 16 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026