Subhash Tummala
Impact in
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies
Papers in
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- Multiple Sclerosis Research Studies 10
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- Ultrasound Imaging and Elastography 3
- Advanced Neuroimaging Techniques and Applications 1
- Co-authors
- Rohit Bakshi (12 shared papers)Shahamat Tauhid (10 shared papers)Renxin Chu (7 shared papers)Howard L. Weiner (4 shared papers)Brian C. Healy (7 shared papers)Fariha Khalid (6 shared papers)Gloria Kim (4 shared papers)Pia Kivisäkk (2 shared papers)
- Journals
- Journal of the Neurological Sciences (2 papers)European Journal of Radiology (1 paper)Brain and Behavior (1 paper)International Journal of MS Care (1 paper)Neurology (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Subhash Tummala
12 papers receiving 219 citations
Peers
Comparison fields: 5 of 51
- Pathology and Forensic Medicine 138
- Developmental Neuroscience 18
- Neurology 34
- Neurology 48
- Cancer Research 42
Countries citing papers authored by Subhash Tummala
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
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-authors
The 25 scholars most cited alongside Subhash Tummala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 59 | |
| 2 | 2017 | 35 | |
| 3 | 2016 | 30 | |
| 4 | 2017 | 26 | |
| 5 | 2017 | 17 | |
| 6 | 2015 | 16 | |
| 7 | 2016 | 9 | |
| 8 | 2016 | 9 | |
| 9 | 2018 | 8 | |
| 10 | 2017 | 7 | |
| 11 | 2016 | 2 | |
| 12 | 2022 | 2 |
About Subhash Tummala
Subhash Tummala is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Molecular Biology and Rheumatology, having authored 12 papers that have together received 220 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (10 papers), Ultrasound Imaging and Elastography (3 papers), Ultrasound and Hyperthermia Applications (3 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Peripheral Neuropathies and Disorders (2 papers), Systemic Lupus Erythematosus Research (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (138 citations), Developmental Neuroscience (18 citations), Neurology (34 citations), Neurology (48 citations) and Cancer Research (42 citations). Subhash Tummala has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Rohit Bakshi, Shahamat Tauhid, Renxin Chu, Howard L. Weiner, Brian C. Healy, Fariha Khalid, Gloria Kim, Pia Kivisäkk, Keren Regev and Tanuja Chitnis. Their work appears in journals such as Journal of the Neurological Sciences, European Journal of Radiology, Brain and Behavior, International Journal of MS Care and Neurology.
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.