Suril Gohel

5.6k total citations · 1 hit paper
54 papers, 1.7k citations indexed

About

Suril Gohel is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Suril Gohel has authored 54 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cognitive Neuroscience, 17 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Epidemiology. Recurrent topics in Suril Gohel's work include Functional Brain Connectivity Studies (30 papers), Neural dynamics and brain function (16 papers) and Visual perception and processing mechanisms (14 papers). Suril Gohel is often cited by papers focused on Functional Brain Connectivity Studies (30 papers), Neural dynamics and brain function (16 papers) and Visual perception and processing mechanisms (14 papers). Suril Gohel collaborates with scholars based in United States, India and Netherlands. Suril Gohel's co-authors include Bharat B. Biswal, Xin Di, Tara L. Alvarez, Yong He, Jinhui Wang, Xi‐Nian Zuo, Michael P. Milham, Eun H. Kim, Paul A. Taylor and Behroze Vachha and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Suril Gohel

51 papers receiving 1.7k citations

Hit Papers

Machine Learning in Healthcare 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suril Gohel United States 20 1.2k 597 272 163 153 54 1.7k
Ryan C.N. D’Arcy Canada 28 1.6k 1.4× 884 1.5× 264 1.0× 179 1.1× 333 2.2× 110 2.4k
Bumhee Park South Korea 22 773 0.7× 410 0.7× 140 0.5× 188 1.2× 263 1.7× 140 1.8k
Anna Prinster Italy 23 609 0.5× 532 0.9× 388 1.4× 115 0.7× 256 1.7× 60 2.0k
Haijun Li China 23 836 0.7× 428 0.7× 105 0.4× 254 1.6× 87 0.6× 102 1.5k
Rüdiger Ilg Germany 17 945 0.8× 577 1.0× 162 0.6× 103 0.6× 321 2.1× 31 2.1k
Xi‐jian Dai China 20 881 0.7× 300 0.5× 73 0.3× 430 2.6× 117 0.8× 42 1.3k
Edward L. Maclin United States 25 1.2k 1.0× 674 1.1× 55 0.2× 180 1.1× 159 1.0× 44 2.0k
Wanlin Zhu China 28 1.2k 1.0× 798 1.3× 117 0.4× 148 0.9× 733 4.8× 73 2.3k
Jiang Tianzi China 3 1.7k 1.5× 818 1.4× 85 0.3× 219 1.3× 419 2.7× 5 2.1k
Christian Schwarzbauer Germany 25 1.3k 1.1× 1.2k 1.9× 109 0.4× 187 1.1× 218 1.4× 60 2.4k

Countries citing papers authored by Suril Gohel

Since Specialization
Citations

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

Fields of papers citing papers by Suril Gohel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suril Gohel

This figure shows the co-authorship network connecting the top 25 collaborators of Suril Gohel. A scholar is included among the top collaborators of Suril Gohel 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 Suril Gohel. Suril Gohel 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
3.
Panja, Sukanya, Mihai I. Truica, Christina Y. Yu, et al.. (2024). Mechanism-centric regulatory network identifies NME2 and MYC programs as markers of Enzalutamide resistance in CRPC. Nature Communications. 15(1). 352–352. 9 indexed citations
4.
Scheiman, Mitchell, et al.. (2024). From convergence insufficiency to functional reorganization: A longitudinal randomized controlled trial of treatment‐induced connectivity plasticity. CNS Neuroscience & Therapeutics. 30(8). e70007–e70007. 4 indexed citations
5.
Gohel, Suril, et al.. (2023). Altered Large-Scale Resting-State Functional Network Connectivity in Convergence Insufficiency Young Adults Compared With Binocularly Normal Controls. Investigative Ophthalmology & Visual Science. 64(14). 29–29. 6 indexed citations
6.
Correa, Denise D., Behroze Vachha, Raymond E. Baser, et al.. (2023). Neuroimaging and Neurocognitive Outcomes in Older Patients with Multiple Myeloma Treated with Chemotherapy and Autologous Stem Cell Transplantation. Cancers. 15(18). 4484–4484. 2 indexed citations
7.
Szeszko, Philip R., Suril Gohel, King-Wai Chu, et al.. (2022). Frontotemporal thalamic connectivity in schizophrenia and schizotypal personality disorder. Psychiatry Research Neuroimaging. 322. 111463–111463. 5 indexed citations
8.
Gohel, Suril, et al.. (2020). Current methods and new directions in resting state fMRI. Clinical Imaging. 65. 47–53. 61 indexed citations
9.
Biswal, Bharat B., Suril Gohel, Agnieszka Pluta, et al.. (2018). Age and HIV effects on resting state of the brain in relationship to neurocognitive functioning. Behavioural Brain Research. 344. 20–27. 19 indexed citations
10.
Ray, Suchismita, et al.. (2017). Modeling Causal Relationships among Brain Areas in the Mesocorticolimbic System during Resting-State in Cocaine Users Utilizing a Graph Theoretic Approach. Journal of Alcoholism and Drug Dependence. 5(4). 3 indexed citations
11.
Ray, Suchismita, Suril Gohel, & Bharat B. Biswal. (2015). Altered Functional Connectivity Strength in Abstinent Chronic Cocaine Smokers Compared to Healthy Controls. Brain Connectivity. 5(8). 476–486. 23 indexed citations
12.
Yuan, Rui, Xin Di, Paul A. Taylor, et al.. (2015). Functional topography of the thalamocortical system in human. Brain Structure and Function. 221(4). 1971–1984. 101 indexed citations
13.
Alvarez, Tara L., et al.. (2014). Functional Activity Significantly Correlates to Symmetrical Vergence Peak Velocity: An fMRI study of Vision Therapy. Investigative Ophthalmology & Visual Science. 55(13). 2661–2661. 2 indexed citations
14.
Gohel, Suril, et al.. (2014). Task-Modulated Coactivation of Vergence Neural Substrates. Brain Connectivity. 4(8). 595–607. 22 indexed citations
15.
Gohel, Suril & Bharat B. Biswal. (2014). Functional Integration Between Brain Regions at Rest Occurs in Multiple-Frequency Bands. Brain Connectivity. 5(1). 23–34. 149 indexed citations
17.
Taylor, Paul A., Suril Gohel, Xin Di, Martin Walter, & Bharat B. Biswal. (2012). Functional Covariance Networks: Obtaining Resting-State Networks from Intersubject Variability. Brain Connectivity. 2(4). 203–217. 36 indexed citations
18.
Wang, Jinhui, Xi‐Nian Zuo, Suril Gohel, et al.. (2011). Graph Theoretical Analysis of Functional Brain Networks: Test-Retest Evaluation on Short- and Long-Term Resting-State Functional MRI Data. PLoS ONE. 6(7). e21976–e21976. 334 indexed citations
19.
Alvarez, Tara L., Vincent R. Vicci, Yelda Alkan, et al.. (2010). Vision Therapy in Adults with Convergence Insufficiency: Clinical and Functional Magnetic Resonance Imaging Measures. Optometry and Vision Science. 87(12). E985–E1002. 101 indexed citations
20.
Alvarez, Tara L., Yelda Alkan, Suril Gohel, B. Douglas Ward, & Bharat B. Biswal. (2010). Functional anatomy of predictive vergence and saccade eye movements in humans: A functional MRI investigation. Vision Research. 50(21). 2163–2175. 49 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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