V. Suresh

2.2k total citations
77 papers, 1.5k citations indexed

About

V. Suresh is a scholar working on Geometry and Topology, Pulmonary and Respiratory Medicine and Mathematical Physics. According to data from OpenAlex, V. Suresh has authored 77 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Geometry and Topology, 14 papers in Pulmonary and Respiratory Medicine and 12 papers in Mathematical Physics. Recurrent topics in V. Suresh's work include Algebraic Geometry and Number Theory (15 papers), Advanced Algebra and Geometry (9 papers) and Cellular Mechanics and Interactions (6 papers). V. Suresh is often cited by papers focused on Algebraic Geometry and Number Theory (15 papers), Advanced Algebra and Geometry (9 papers) and Cellular Mechanics and Interactions (6 papers). V. Suresh collaborates with scholars based in New Zealand, United States and India. V. Suresh's co-authors include Steven C. George, Andrew J. Putnam, Justin D. Mih, Christopher B. Raub, R. Parimala, Tatiana B. Krasieva, Bruce J. Tromberg, Julia G. Lyubovitsky, Hui Ren and Nigel P. Birch and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

V. Suresh

69 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V. Suresh New Zealand	19	565	351	288	266	190	77	1.5k
Matthias Merkel France	18	463 0.8×	858 2.4×	29 0.1×	56 0.2×	322 1.7×	38	1.4k
Kyle P. Quinn United States	31	968 1.7×	284 0.8×	322 1.1×	364 1.4×	793 4.2×	83	3.0k
Rebecca J. Shipley United Kingdom	25	587 1.0×	180 0.5×	198 0.7×	78 0.3×	223 1.2×	77	1.6k
Jian Zhou China	28	355 0.6×	423 1.2×	73 0.3×	446 1.7×	994 5.2×	117	2.2k
Bo Huo China	27	441 0.8×	508 1.4×	109 0.4×	331 1.2×	970 5.1×	99	2.0k
Dido Yova Greece	17	310 0.5×	96 0.3×	178 0.6×	159 0.6×	109 0.6×	77	937
Dieter Klatt United States	23	1.9k 3.4×	198 0.6×	47 0.2×	248 0.9×	76 0.4×	59	2.9k
L.V. McIntire United States	17	233 0.4×	280 0.8×	112 0.4×	209 0.8×	475 2.5×	30	1.7k
Liyun Wang China	20	266 0.5×	265 0.8×	31 0.1×	62 0.2×	438 2.3×	69	1.5k
Kenneth Hoyt United States	32	2.2k 3.8×	75 0.2×	143 0.5×	270 1.0×	325 1.7×	178	3.1k

Countries citing papers authored by V. Suresh

Since Specialization

Citations

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

Fields of papers citing papers by V. Suresh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Suresh

This figure shows the co-authorship network connecting the top 25 collaborators of V. Suresh. A scholar is included among the top collaborators of V. Suresh 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 V. Suresh. V. Suresh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Morgan, Catherine, David L. Thomas, Xingfeng Shao, et al.. (2024). Measurement of blood–brain barrier water exchange rate using diffusion‐prepared and multi‐echo arterial spin labelling: Comparison of quantitative values and age dependence. NMR in Biomedicine. 37(12). e5256–e5256. 7 indexed citations

Avci, Recep, et al.. (2023). A Systematic Review of Computational Fluid Dynamics Models in the Stomach and Small Intestine. Applied Sciences. 13(10). 6092–6092. 12 indexed citations

Cater, John, et al.. (2023). Landmark-free Shape Analysis of the Human Duodenum^*. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2023. 1–4.

Li, Yating, et al.. (2022). A Mathematical Model of Salivary Gland Duct Cells. Bulletin of Mathematical Biology. 84(8). 84–84. 7 indexed citations

Waite, Stephen, Alys R. Clark, V. Suresh, Naresh Singhal, & Richard Clarke. (2021). Using flow simulation to inform the design and placement of remediation units in rivers. Journal of the Royal Society of New Zealand. 51(2). 212–241. 1 indexed citations

Suresh, V., et al.. (2021). Development of a numerical model of surgical smoke during laparoscopy. International Journal of Heat and Mass Transfer. 175. 121253–121253. 5 indexed citations

Romanò, Francesco, V. Suresh, Peter A. Galie, & James B. Grotberg. (2020). Peristaltic flow in the glymphatic system. Scientific Reports. 10(1). 21065–21065. 33 indexed citations

Avci, Recep, et al.. (2020). A Novel Method for Time-Dependent Numerical Modeling of Gastric Motility Directly from Magnetic Resonance Imaging. PubMed. 2020. 2384–2387. 3 indexed citations

Waite, Stephen, Ju Zhang, John Cater, et al.. (2018). Development of an in situ procedure to evaluate the reticulo-rumen morphology of sheep selected for divergent methane emissions. animal. 13(3). 542–548. 5 indexed citations

10.

Safaei, Soroush, Chris P. Bradley, V. Suresh, et al.. (2016). Roadmap for cardiovascular circulation model. The Journal of Physiology. 594(23). 6909–6928. 26 indexed citations

11.

Parimala, R. & V. Suresh. (2015). On the u-invariant of function fields of curves over complete discretely valued fields. Advances in Mathematics. 280. 729–742.

12.

Nickerson, David, et al.. (2015). Using CellML with OpenCMISS to Simulate Multi-Scale Physiology. Frontiers in Bioengineering and Biotechnology. 2. 79–79. 21 indexed citations

13.

Barrett, Matthew & V. Suresh. (2014). Improving estimates of the cerebral metabolic rate of oxygen from optical imaging data. NeuroImage. 106. 101–110. 5 indexed citations

14.

Suresh, V., et al.. (2013). Admissibility of groups over function fields of p-adic curves. Advances in Mathematics. 237. 316–330. 7 indexed citations

15.

Barrett, Matthew, Merryn H. Tawhai, & V. Suresh. (2012). Arteries dominate volume changes during brief functional hyperemia: Evidence from mathematical modelling. NeuroImage. 62(1). 482–492. 15 indexed citations

16.

Ho, Harvey, et al.. (2011). Multiscale Modeling of Intracranial Aneurysms: Cell Signaling, Hemodynamics, and Remodeling. IEEE Transactions on Biomedical Engineering. 58(10). 2974–2977. 12 indexed citations

17.

Suresh, V., et al.. (2009). Nitric oxide gas phase release in human small airway epithelial cells. Respiratory Research. 10(1). 3–3. 44 indexed citations

18.

Raub, Christopher B., Jay R. Unruh, V. Suresh, et al.. (2007). Image Correlation Spectroscopy of Multiphoton Images Correlates with Collagen Mechanical Properties. Biophysical Journal. 94(6). 2361–2373. 160 indexed citations

19.

Raub, Christopher B., V. Suresh, Tatiana B. Krasieva, et al.. (2006). Noninvasive Assessment of Collagen Gel Microstructure and Mechanics Using Multiphoton Microscopy. Biophysical Journal. 92(6). 2212–2222. 304 indexed citations

20.

Parimala, R., et al.. (1997). Jordan Algebras andF4Bundles over the Affine Plane. Journal of Algebra. 198(2). 582–607. 9 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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