Dhaval Shukla

3.0k total citations
218 papers, 1.7k citations indexed

About

Dhaval Shukla is a scholar working on Neurology, Surgery and Epidemiology. According to data from OpenAlex, Dhaval Shukla has authored 218 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Neurology, 66 papers in Surgery and 64 papers in Epidemiology. Recurrent topics in Dhaval Shukla's work include Traumatic Brain Injury and Neurovascular Disturbances (69 papers), Neurosurgical Procedures and Complications (35 papers) and Cerebrospinal fluid and hydrocephalus (34 papers). Dhaval Shukla is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (69 papers), Neurosurgical Procedures and Complications (35 papers) and Cerebrospinal fluid and hydrocephalus (34 papers). Dhaval Shukla collaborates with scholars based in India, United Kingdom and United States. Dhaval Shukla's co-authors include Bhagavatula Indira Devi, Dhananjaya I. Bhat, Amit Agrawal, Dhananjaya I. Bhat, Nishanth Sadashiva, Subhas Konar, Ashok Munivenkatappa, Nitish Kamble, Nagesh C. Shanbhag and Jamuna Rajeswaran and has published in prestigious journals such as SHILAP Revista de lepidopterología, Spine and Journal of Neurochemistry.

In The Last Decade

Dhaval Shukla

190 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dhaval Shukla India	20	933	558	472	373	195	218	1.7k
Bhagavatula Indira Devi India	24	991 1.1×	592 1.1×	681 1.4×	376 1.0×	266 1.4×	160	2.0k
Edward S. Ahn United States	27	1.1k 1.2×	371 0.7×	670 1.4×	216 0.6×	602 3.1×	109	2.4k
Jeffrey V. Rosenfeld Australia	16	1.5k 1.6×	636 1.1×	392 0.8×	568 1.5×	498 2.6×	31	2.1k
Brian T. Andrews United States	32	1.0k 1.1×	557 1.0×	1.2k 2.6×	185 0.5×	286 1.5×	158	3.3k
Sumit Sinha India	20	439 0.5×	299 0.5×	587 1.2×	101 0.3×	141 0.7×	89	1.2k
Charles M. Glasier United States	30	480 0.5×	453 0.8×	653 1.4×	129 0.3×	202 1.0×	126	2.3k
AK Mahapatra India	20	464 0.5×	290 0.5×	455 1.0×	85 0.2×	298 1.5×	102	1.3k
Bruno P. Soares United States	21	569 0.6×	459 0.8×	220 0.5×	90 0.2×	170 0.9×	88	1.7k
Ann Marie Flannery United States	24	532 0.6×	260 0.5×	308 0.7×	154 0.4×	506 2.6×	50	1.6k
Robson Luís Oliveira de Amorim Brazil	18	648 0.7×	310 0.6×	283 0.6×	206 0.6×	127 0.7×	92	1.0k

Countries citing papers authored by Dhaval Shukla

Since Specialization

Citations

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

Fields of papers citing papers by Dhaval Shukla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dhaval Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Dhaval Shukla. A scholar is included among the top collaborators of Dhaval Shukla 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 Dhaval Shukla. Dhaval Shukla 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

Sadashiva, Nishanth, Shilpa Rao, Manish Beniwal, et al.. (2025). Early adjuvant radiation reduces the rate of recurrence following surgery for silent corticotroph pituitary neuroendocrine tumors. Clinical Neurology and Neurosurgery. 256. 109023–109023. 1 indexed citations

Tyagi, Gaurav, et al.. (2025). Determining factors predictive of ventriculoperitoneal shunt failure in a cohort of adults. Journal of neurosurgery. 143(3). 854–862.

Sriganesh, Kamath, et al.. (2024). Incidence, risk factors and impact of anemia after elective neurosurgery: A retrospective cohort study. World Neurosurgery X. 22. 100289–100289. 3 indexed citations

Shukla, Dhaval. (2024). Complications Following Decompressive Craniectomy. Acta neurochirurgica. Supplementum. 133. 157–168.

Tyagi, Gaurav, et al.. (2024). Emergency Surgical Management of Meningiomas: Factors Affecting Early Outcomes and Complications. Asian Journal of Neurosurgery. 19(4). 715–720.

Sadashiva, Nishanth, Dhaval Shukla, Manish Beniwal, et al.. (2024). Thalamic H3K27M altered diffuse midline gliomas: Clinicopathological and outcome analysis. Clinical Neurology and Neurosurgery. 244. 108449–108449.

Arivazhagan, A, et al.. (2024). Facial Nerve Preserving Subtotal Excision for Large Vestibular Schwannoma: An Institution-Based Functional Outcome Study. Neurology India. 72(4). 811–816. 1 indexed citations

Bhat, Dhananjaya I., et al.. (2023). Thecoperitoneal Shunts—Our 20 Years Experience. SHILAP Revista de lepidopterología. 12(3). 215–222.

Dey, Gourav, Gajanan Sathe, Nupur Pruthi, et al.. (2023). Neuroanatomical zones of human traumatic brain injury reveal significant differences in protein profile and protein oxidation: Implications for secondary injury events. Journal of Neurochemistry. 167(2). 218–247. 4 indexed citations

10.

Sadashiva, Nishanth, et al.. (2023). Navigation guidance in neuroendoscopic management of complex hydrocephalus. Neurosurgical Focus Video. 8(2). V4–V4.

11.

Srinivas, Dwarakanath, et al.. (2023). Surgical Management of Large (≥3 cm) Trigeminal Schwannomas: Functional Outcomes and Approach Selection in Multicompartmental Schwannomas. Journal of Neurological Surgery Part B Skull Base. 85(3). 267–286.

12.

Kandregula, Sandeep, Manish Beniwal, Nishanth Sadashiva, et al.. (2021). Management of choroid plexus tumours: A comprehensive study from a tertiary hospital. Clinical Neurology and Neurosurgery. 201. 106454–106454. 7 indexed citations

13.

Konar, Subhas, Dhaval Shukla, Nishanth Sadashiva, et al.. (2019). Predictors of outcome of subdural empyema in children. Neurosurgical FOCUS. 47(2). E17–E17. 10 indexed citations

14.

Deora, Harsh, et al.. (2019). Multiple-site neural tube defects: embryogenesis with complete review of existing literature. Neurosurgical FOCUS. 47(4). E18–E18. 13 indexed citations

15.

Shukla, Dhaval, et al.. (2019). Intracranial fungal granuloma: a single-institute study of 90 cases over 18 years. Neurosurgical FOCUS. 47(2). E14–E14. 8 indexed citations

16.

Shukla, Dhaval, et al.. (2019). Role of repeat CT in mild to moderate head injury: an institutional study. Neurosurgical FOCUS. 47(5). E2–E2. 25 indexed citations

17.

Konar, Subhas, Dhaval Shukla, & Amit Agrawal. (2019). Posttraumatic brain edema: Pathophysiology, management, and current concept. SHILAP Revista de lepidopterología. 2 indexed citations

18.

Devi, Bhagavatula Indira, et al.. (2017). Predictors of Surgical Outcomes of Traumatic Peripheral Nerve Injuries in Children: An Institutional Experience. Pediatric Neurosurgery. 53(2). 94–99. 13 indexed citations

19.

Shukla, Dhaval, et al.. (2017). Predictive validity of disability rating scale in determining functional outcome in patients with severe traumatic brain injury. Neurology India. 65(1). 83–83. 10 indexed citations

20.

Beniwal, Manish & Dhaval Shukla. (2016). Management of Perforator Plunge in the Transverse Sinus. Pediatric Neurosurgery. 51(5). 273–275. 2 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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