Suma Babu

3.5k total citations
31 papers, 399 citations indexed

About

Suma Babu is a scholar working on Neurology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Suma Babu has authored 31 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Neurology, 14 papers in Genetics and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Suma Babu's work include Amyotrophic Lateral Sclerosis Research (27 papers), Neurogenetic and Muscular Disorders Research (13 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). Suma Babu is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (27 papers), Neurogenetic and Muscular Disorders Research (13 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). Suma Babu collaborates with scholars based in United States, United Kingdom and Egypt. Suma Babu's co-authors include Yuebing Li, Nazem Atassi, Sabrina Paganoni, Jacob M. Hooker, Nicole R. Zürcher, Marco L. Loggia, Paul Cernasov, Mohamad J. Alshikho, James Chan and Ciprian Catana and has published in prestigious journals such as Brain, Neurology and Annals of Neurology.

In The Last Decade

Suma Babu

27 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suma Babu United States 12 253 116 87 80 69 31 399
Yuzhou Guan China 14 307 1.2× 141 1.2× 43 0.5× 101 1.3× 69 1.0× 42 461
Stefano Messina Italy 11 271 1.1× 117 1.0× 45 0.5× 60 0.8× 80 1.2× 29 344
Hisham Hamdalla United Kingdom 7 333 1.3× 188 1.6× 96 1.1× 90 1.1× 118 1.7× 10 486
Ervina Bilić Croatia 9 154 0.6× 69 0.6× 56 0.6× 52 0.7× 45 0.7× 37 309
Yangfan Cheng China 12 175 0.7× 105 0.9× 34 0.4× 119 1.5× 44 0.6× 39 371
Yongjuan Fu China 14 198 0.8× 141 1.2× 74 0.9× 90 1.1× 94 1.4× 36 429
Hannelore K. van der Burgh Netherlands 9 273 1.1× 123 1.1× 48 0.6× 43 0.5× 48 0.7× 9 372
Henk-Jan Westeneng Netherlands 11 514 2.0× 236 2.0× 93 1.1× 151 1.9× 117 1.7× 12 637
Dario Saracino Italy 10 159 0.6× 54 0.5× 49 0.6× 65 0.8× 58 0.8× 34 275
Gloria Vegliante Italy 9 193 0.8× 54 0.5× 77 0.9× 158 2.0× 52 0.8× 14 423

Countries citing papers authored by Suma Babu

Since Specialization
Citations

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

Fields of papers citing papers by Suma Babu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suma Babu

This figure shows the co-authorship network connecting the top 25 collaborators of Suma Babu. A scholar is included among the top collaborators of Suma Babu 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 Suma Babu. Suma Babu 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.
Babu, Suma, et al.. (2025). A Hybrid Deep Learning Approach for Flood Prediction: Integrating ICENet’s Spatial-Temporal Learning with DRAW Optimizer’s Adaptive Weighting. Water Resources Management. 39(14). 7385–7415. 1 indexed citations
2.
Azimi, Parisa, et al.. (2025). Cervical spinal cord MRI in ALS individuals: a systematic review and meta-analysis. NeuroImage Clinical. 47. 103832–103832.
3.
Chary, Sowmya, Suma Babu, Gaëlle Bruneteau, et al.. (2025). Serious Neurologic Adverse Events in Tofersen Clinical Trials for Amyotrophic Lateral Sclerosis. Muscle & Nerve. 71(6). 1006–1015. 9 indexed citations
4.
Herranz, Elena, Constantina A. Treaba, Valeria Barletta, et al.. (2024). Characterization of cortico-meningeal translocator protein expression in multiple sclerosis. Brain. 147(7). 2566–2578. 10 indexed citations
5.
Berry, James D., Sabrina Paganoni, Matthew Harms, et al.. (2024). Access for ALL in ALS: A large‐scale, inclusive, collaborative consortium to unlock the molecular and genetic mechanisms of amyotrophic lateral sclerosis. Muscle & Nerve. 70(6). 1140–1150. 1 indexed citations
6.
Zaninotto, Ana Luiza, Chieh-En Jane Tseng, James Chan, et al.. (2024). Speech motor impairment in ALS is associated with multiregional cortical thinning beyond primary motor cortex. Frontiers in Neurology. 15. 1451177–1451177. 1 indexed citations
7.
Dave, Kuldip D., Björn Oskarsson, Terry Heiman‐Patterson, et al.. (2024). Contributions of neurologists to diagnostic timelines of ALS and thinkALS as an early referral instrument for clinicians. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 26(3-4). 215–224. 3 indexed citations
8.
9.
Rush, Christina L., Suma Babu, Kate Brizzi, et al.. (2024). Clinician Perspectives Highlight the Need for Early Dyadic Coping Skills for People Living With Amyotrophic Lateral Sclerosis. Journal of Pain and Symptom Management. 69(3). 236–242.e4.
10.
Babu, Suma, Katharine Nicholson, Jeffrey D. Rothstein, et al.. (2024). Apilimod dimesylate in C9orf72 amyotrophic lateral sclerosis: a randomized phase 2a clinical trial. Brain. 147(9). 2998–3008. 11 indexed citations
11.
Barry, Robert, Ángel Torrado-Carvajal, John E. Kirsch, et al.. (2022). Selective atrophy of the cervical enlargement in whole spinal cord MRI of amyotrophic lateral sclerosis. NeuroImage Clinical. 36. 103199–103199. 11 indexed citations
12.
Barry, Robert, Suma Babu, Sheeba Arnold Anteraper, et al.. (2021). Ultra-high field (7T) functional magnetic resonance imaging in amyotrophic lateral sclerosis: a pilot study. NeuroImage Clinical. 30. 102648–102648. 14 indexed citations
13.
Liu, Xiaofeng, Fangxu Xing, Chao Yang, et al.. (2021). VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI. IEEE Journal of Biomedical and Health Informatics. 26(3). 1128–1139. 20 indexed citations
14.
Weehaeghe, Donatienne Van, Suma Babu, Joke De Vocht, et al.. (2020). Moving Toward Multicenter Therapeutic Trials in Amyotrophic Lateral Sclerosis: Feasibility of Data Pooling Using Different Translocator Protein PET Radioligands. Journal of Nuclear Medicine. 61(11). 1621–1627. 28 indexed citations
15.
Paganoni, Sabrina, et al.. (2020). Improved Function in a Runner With Hereditary Spastic Paraparesis With Use of Extracorporeal Shockwave Therapy. American Journal of Physical Medicine & Rehabilitation. 100(5). e66–e68. 1 indexed citations
16.
Ratai, Eva‐Maria, Mohamad J. Alshikho, Nicole R. Zürcher, et al.. (2018). Integrated imaging of [11C]-PBR28 PET, MR diffusion and magnetic resonance spectroscopy 1H-MRS in amyotrophic lateral sclerosis. NeuroImage Clinical. 20. 357–364. 40 indexed citations
17.
Alshikho, Mohamad J., Nicole R. Zürcher, Marco L. Loggia, et al.. (2018). Integrated magnetic resonance imaging and [11C]‐PBR28 positron emission tomographic imaging in amyotrophic lateral sclerosis. Annals of Neurology. 83(6). 1186–1197. 73 indexed citations
18.
Paganoni, Sabrina, Mohamad J. Alshikho, Nicole R. Zürcher, et al.. (2017). Imaging of glia activation in people with primary lateral sclerosis. NeuroImage Clinical. 17. 347–353. 26 indexed citations
19.
Alshikho, Mohamad J., Nicole R. Zürcher, Marco L. Loggia, et al.. (2017). Integrated [11C]-PBR28 MR-PET imaging in Amyotrophic Lateral Sclerosis (P3.139). Neurology. 88(16_supplement). 1 indexed citations
20.
Babu, Suma & Yuebing Li. (2015). Statin induced necrotizing autoimmune myopathy. Journal of the Neurological Sciences. 351(1-2). 13–17. 33 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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