Sunil Koundal

1.4k total citations · 1 hit paper
21 papers, 733 citations indexed

About

Sunil Koundal is a scholar working on Cellular and Molecular Neuroscience, Neurology and Genetics. According to data from OpenAlex, Sunil Koundal has authored 21 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 9 papers in Neurology and 5 papers in Genetics. Recurrent topics in Sunil Koundal's work include Cerebrospinal fluid and hydrocephalus (13 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers) and High Altitude and Hypoxia (4 papers). Sunil Koundal is often cited by papers focused on Cerebrospinal fluid and hydrocephalus (13 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers) and High Altitude and Hypoxia (4 papers). Sunil Koundal collaborates with scholars based in United States, United Kingdom and India. Sunil Koundal's co-authors include Helene Benveniste, Hedok Lee, Joanna M. Wardlaw, Simon Sanggaard, Xiaodan Liu, Allen Tannenbaum, Xinan Chen, Maiken Nedergaard, Rena Elkin and Subash Khushu and has published in prestigious journals such as Journal of Clinical Investigation, NeuroImage and Scientific Reports.

In The Last Decade

Sunil Koundal

21 papers receiving 728 citations

Hit Papers

The Glymphatic System and Waste Clearance with Brain Agin... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunil Koundal United States 13 495 335 163 130 111 21 733
Beatrice Bedussi Netherlands 6 460 0.9× 313 0.9× 177 1.1× 100 0.8× 94 0.8× 6 628
S. Meftah United Kingdom 8 359 0.7× 174 0.5× 81 0.5× 92 0.7× 82 0.7× 18 662
Alice Fisher United Kingdom 4 321 0.6× 171 0.5× 85 0.5× 90 0.7× 89 0.8× 6 525
Jason Liew United States 7 776 1.6× 551 1.6× 244 1.5× 143 1.1× 178 1.6× 14 1.2k
Roxana Aldea United Kingdom 7 271 0.5× 243 0.7× 95 0.6× 58 0.4× 55 0.5× 8 600
Emi Hitomi United States 10 741 1.5× 608 1.8× 214 1.3× 123 0.9× 162 1.5× 16 1.3k
Stephanie von Holstein‐Rathlou Denmark 8 235 0.5× 150 0.4× 72 0.4× 43 0.3× 58 0.5× 8 501
Molly Braun United States 13 237 0.5× 353 1.1× 73 0.4× 33 0.3× 34 0.3× 22 910
Agnita J.W. Boon Netherlands 19 864 1.7× 1.1k 3.2× 247 1.5× 60 0.5× 164 1.5× 43 1.5k
Maren K. L. Winkler Germany 15 394 0.8× 575 1.7× 61 0.4× 106 0.8× 9 0.1× 18 1.1k

Countries citing papers authored by Sunil Koundal

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Koundal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunil Koundal

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Koundal. A scholar is included among the top collaborators of Sunil Koundal 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 Sunil Koundal. Sunil Koundal 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.
Koundal, Sunil, Jesús D. Melgarejo, Kaiming Xu, et al.. (2025). Age-dependent brain responses to mechanical stress determine resilience in a chronic lymphatic drainage impairment model. Journal of Clinical Investigation. 135(17). 2 indexed citations
2.
Koundal, Sunil, Xinan Chen, Hedok Lee, et al.. (2024). Divergent brain solute clearance in rat models of cerebral amyloid angiopathy and Alzheimer’s disease. iScience. 27(12). 111463–111463. 2 indexed citations
3.
Koundal, Sunil, Xinan Chen, Andrew Lim, et al.. (2023). Continuous positive airway pressure increases CSF flow and glymphatic transport. JCI Insight. 8(12). 22 indexed citations
4.
Phan, Duy Tung, Peter H. Dahl, Sunil Koundal, et al.. (2023). 195 Aberrant Brain Biomechanics Initiates Ventricular Dilation in a Genetic Subtype of Congenital Hydrocephalus. Neurosurgery. 69(Supplement_1). 32–32. 1 indexed citations
5.
Koundal, Sunil, Xiaodan Liu, Hedok Lee, et al.. (2022). Sustained glymphatic transport and impaired drainage to the nasal cavity observed in multiciliated cell ciliopathies with hydrocephalus. Fluids and Barriers of the CNS. 19(1). 20–20. 8 indexed citations
6.
Koundal, Sunil, Sonia Gandhi, & Subash Khushu. (2022). Studies on metabolic alterations due to hypobaric hypoxia in serum using NMR spectroscopy. Biomarkers. 27(6). 562–567. 1 indexed citations
7.
Lee, Hedok, Michael Stringer, Sunil Koundal, et al.. (2022). Choroid plexus tissue perfusion and blood to CSF barrier function in rats measured with continuous arterial spin labeling. NeuroImage. 261. 119512–119512. 13 indexed citations
8.
Koundal, Sunil, Hedok Lee, William E. Van Nostrand, et al.. (2022). Characterization of perivascular space pathology in a rat model of cerebral small vessel disease by in vivo magnetic resonance imaging. Journal of Cerebral Blood Flow & Metabolism. 42(10). 1813–1826. 13 indexed citations
9.
Koundal, Sunil, et al.. (2021). Disparate volumetric fluid shifts across cerebral tissue compartments with two different anesthetics. Fluids and Barriers of the CNS. 18(1). 1–1. 16 indexed citations
10.
Liu, Xiaodan, et al.. (2020). In vivo T1 mapping for quantifying glymphatic system transport and cervical lymph node drainage. Scientific Reports. 10(1). 14592–14592. 34 indexed citations
11.
Koundal, Sunil, Rena Elkin, Saad Nadeem, et al.. (2020). Optimal Mass Transport with Lagrangian Workflow Reveals Advective and Diffusion Driven Solute Transport in the Glymphatic System. Scientific Reports. 10(1). 1990–1990. 88 indexed citations
12.
Koundal, Sunil, Rena Elkin, Saad Nadeem, et al.. (2020). Publisher Correction: Optimal Mass Transport with Lagrangian Workflow Reveals Advective and Diffusion Driven Solute Transport in the Glymphatic System. Scientific Reports. 10(1). 3934–3934. 7 indexed citations
13.
Benveniste, Helene, Hedok Lee, Xinan Chen, et al.. (2020). Glymphatic Cerebrospinal Fluid and Solute Transport Quantified by MRI and PET Imaging. Neuroscience. 474. 63–79. 67 indexed citations
14.
Lee, Hedok, Feng Xu, Xiaodan Liu, et al.. (2020). Diffuse white matter loss in a transgenic rat model of cerebral amyloid angiopathy. Journal of Cerebral Blood Flow & Metabolism. 41(5). 1103–1118. 16 indexed citations
15.
16.
Benveniste, Helene, Xiaodan Liu, Sunil Koundal, et al.. (2018). The Glymphatic System and Waste Clearance with Brain Aging: A Review. Gerontology. 65(2). 106–119. 349 indexed citations breakdown →
17.
Singh, Kavita, Richa Trivedi, Ajay Verma, et al.. (2017). Altered metabolites of the rat hippocampus after mild and moderate traumatic brain injury – a combined in vivo and in vitro1H–MRS study. NMR in Biomedicine. 30(10). 16 indexed citations
18.
19.
Koundal, Sunil, et al.. (2015). “Omics” of High Altitude Biology: A Urinary Metabolomics Biomarker Study of Rats Under Hypobaric Hypoxia. OMICS A Journal of Integrative Biology. 19(12). 757–765. 16 indexed citations
20.
Koundal, Sunil, et al.. (2014). Neurometabolic and structural alterations in rat brain due to acute hypobaric hypoxia: in vivo1H MRS at 7 T. NMR in Biomedicine. 27(3). 341–347. 10 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