Thara Tunthanathip

859 total citations
73 papers, 547 citations indexed

About

Thara Tunthanathip is a scholar working on Neurology, Genetics and Surgery. According to data from OpenAlex, Thara Tunthanathip has authored 73 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Neurology, 23 papers in Genetics and 19 papers in Surgery. Recurrent topics in Thara Tunthanathip's work include Traumatic Brain Injury and Neurovascular Disturbances (26 papers), Glioma Diagnosis and Treatment (23 papers) and Neurosurgical Procedures and Complications (11 papers). Thara Tunthanathip is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (26 papers), Glioma Diagnosis and Treatment (23 papers) and Neurosurgical Procedures and Complications (11 papers). Thara Tunthanathip collaborates with scholars based in Thailand, Netherlands and United Kingdom. Thara Tunthanathip's co-authors include Thakul Oearsakul, Nakornchai Phuenpathom, Sakchai Sae-heng, Sanguansin Ratanalert, Surasak Sangkhathat, Thirachit Chotsampancharoen, Sutthiporn Pattharachayakul, Tanat Vaniyapong, Chaoyu Wang and Tim Hulsen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurosurgical FOCUS.

In The Last Decade

Thara Tunthanathip

64 papers receiving 534 citations

Peers

Thara Tunthanathip

NEURO

GENET

EPIDE

SURGE

RNMI

Thakul Oearsakul Thailand

Santiago Cepeda Spain

Sae‐Yeon Won Germany

Terje Nome Norway

Vinayak Narayan United States

Christopher A. Sarkiss United States

Gunjan Parikh United States

Bedjan Behmanesh Germany

Wende N. Gibbs United States

Urs Fisch Switzerland

Thakul Oearsakul Thailand

Thara Tunthanathip

163 ×0.6

NEURO

84 ×0.6

GENET

93 ×0.6

EPIDE

87 ×0.8

SURGE

57 ×0.6

RNMI

Citations per year, relative to Thara Tunthanathip Thara Tunthanathip (= 1×) peers Thakul Oearsakul

Countries citing papers authored by Thara Tunthanathip

Since Specialization

Citations

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

Fields of papers citing papers by Thara Tunthanathip

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thara Tunthanathip

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

Tunthanathip, Thara, et al.. (2025). Prognosis of subarachnoid hemorrhage determined by intracranial pressure thresholds. Journal of Cerebrovascular and Endovascular Neurosurgery. 27(4). 309–317.

Tunthanathip, Thara, et al.. (2025). Deep learning-based model for detection of intracranial waveforms with poor brain compliance in southernThailand. Acute and Critical Care. 40(3). 473–481.

Tunthanathip, Thara, et al.. (2024). Comparison of survival to hospital discharge predictions in elderly traumatic brain injury using CHID, CIT, and CART algorithms. 9. 6–6. 1 indexed citations

Tunthanathip, Thara, et al.. (2024). Comparing neuroendocrine recovery between surgical and conservative management in pituitary apoplexy patients: a propensity score-matched analysis. Neurosurgical Review. 47(1). 236–236. 3 indexed citations

Tunthanathip, Thara, et al.. (2024). Significance of Pretreatment Hemoglobin-Albumin-Lymphocyte-Platelet Index for the Prediction of Suboptimal Surgery in Epithelial Ovarian Cancer. World Journal of Oncology. 15(2). 268–278. 3 indexed citations

Tunthanathip, Thara, et al.. (2023). Factors Associated with Recurrence in Chronic Subdural Hematoma following Surgery. Journal of Health and Allied Sciences NU. 14(1). 85–93. 1 indexed citations

Tunthanathip, Thara, et al.. (2023). Machine learning-based classification of pineal germinoma from magnetic resonance imaging. World Neurosurgery X. 20. 100231–100231. 6 indexed citations

Tunthanathip, Thara, et al.. (2023). Comparison of intracranial pressure prediction in hydrocephalus patients among linear, non-linear, and machine learning regression models in Thailand. Acute and Critical Care. 38(3). 362–370. 6 indexed citations

Tunthanathip, Thara, et al.. (2023). Prognostic factors and clinical nomogram for in-hospital mortality in traumatic brain injury. The American Journal of Emergency Medicine. 77. 194–202. 8 indexed citations

10.

Tunthanathip, Thara, et al.. (2022). Economic impact of a machine learning-based strategy for preparation of blood products in brain tumor surgery. PLoS ONE. 17(7). e0270916–e0270916. 17 indexed citations

11.

Tunthanathip, Thara, et al.. (2022). Impact of Machine Learning Prediction on Intraoperative Transfusion in Cranial Operation. International journal of Nutrition Pharmacology Neurological Diseases. 12(3). 186–194.

12.

Tunthanathip, Thara, et al.. (2022). Risk Factors for Intraoperative Hypotension During Decompressive Craniectomy in traumatic Brain Injury Patients. World Neurosurgery. 162. e652–e658. 5 indexed citations

13.

Tunthanathip, Thara, et al.. (2022). Development and internal validation of a nomogram for predicting outcomes in children with traumatic subdural hematoma. Acute and Critical Care. 37(3). 429–437. 6 indexed citations

14.

Tunthanathip, Thara & Surasak Sangkhathat. (2020). Temozolomide for patients with wild-type isocitrate dehydrogenase (IDH) 1 glioblastoma using propensity score matching. Clinical Neurology and Neurosurgery. 191. 105712–105712. 12 indexed citations

15.

Tunthanathip, Thara, et al.. (2020). Effect of the Extent of Resection on Survival Outcome in Glioblastoma: Propensity Score Approach. SHILAP Revista de lepidopterología. 40(1). 37–43.

16.

Tunthanathip, Thara, et al.. (2020). The clinical characteristics and prognostic factors of multiple lesions in glioblastomas. Clinical Neurology and Neurosurgery. 195. 105891–105891. 8 indexed citations

17.

Tunthanathip, Thara, et al.. (2019). Machine learning applications for the prediction of surgical site infection in neurological operations. Neurosurgical FOCUS. 47(2). E7–E7. 43 indexed citations

18.

Tunthanathip, Thara, et al.. (2019). Traumatic cerebrovascular injury: clinical characteristics and illustrative cases. Neurosurgical FOCUS. 47(5). E4–E4. 10 indexed citations

19.

Tunthanathip, Thara, et al.. (2019). Outcome of Ruptured Posterior Communicating Artery Aneurysm Treatment Comparing Between Clipping and Coiling Techniques. World Neurosurgery. 125. e183–e188. 12 indexed citations

20.

Tunthanathip, Thara, et al.. (2019). Traumatic cerebrovascular injury: Prevalence and risk factors. The American Journal of Emergency Medicine. 38(2). 182–186. 7 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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