José Gurrola

1.8k total citations
38 papers, 1.1k citations indexed

About

José Gurrola is a scholar working on Surgery, Otorhinolaryngology and Epidemiology. According to data from OpenAlex, José Gurrola has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 14 papers in Otorhinolaryngology and 12 papers in Epidemiology. Recurrent topics in José Gurrola's work include Sinusitis and nasal conditions (13 papers), Pituitary Gland Disorders and Treatments (11 papers) and Meningioma and schwannoma management (10 papers). José Gurrola is often cited by papers focused on Sinusitis and nasal conditions (13 papers), Pituitary Gland Disorders and Treatments (11 papers) and Meningioma and schwannoma management (10 papers). José Gurrola collaborates with scholars based in United States, Canada and Colombia. José Gurrola's co-authors include Larry Borish, Richard J. Smith, James M. Coticchia, Michael A. Carron, Todd E. Scheetz, A. Eliot Shearer, Stephen W. Scherer, Adam P. DeLuca, Michael S. Hildebrand and Kyle R. Taylor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Allergy and Clinical Immunology and The American Journal of Human Genetics.

In The Last Decade

José Gurrola

35 papers receiving 1.1k citations

Peers

José Gurrola
Naweed I. Chowdhury United States
David A. Gudis United States
Şinasi Yalçın Türkiye
Dong Choon Park South Korea
Motohiko Suzuki Japan
İrfan Kaygusuz Türkiye
José Faibes Lubianca Neto Brazil
Carol H. Yan United States
Silviu Albu Romania
Shunkichi Baba Japan
Naweed I. Chowdhury United States
José Gurrola
Citations per year, relative to José Gurrola José Gurrola (= 1×) peers Naweed I. Chowdhury

Countries citing papers authored by José Gurrola

Since Specialization
Citations

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

Fields of papers citing papers by José Gurrola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Gurrola

This figure shows the co-authorship network connecting the top 25 collaborators of José Gurrola. A scholar is included among the top collaborators of José Gurrola 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 José Gurrola. José Gurrola 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
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Khanna, Kritika, John V. Fahy, Monica Tang, et al.. (2024). In office sampling of eosinophil peroxidase to diagnose eosinophilic chronic rhinosinusitis. International Forum of Allergy & Rhinology. 15(1). 36–44. 1 indexed citations
3.
Osorio, Robert C., Alexander F. Haddad, Philip V. Theodosopoulos, et al.. (2024). Preoperative predictors of biochemical remission in somatotroph adenoma resections: a single-institution retrospective review. Journal of neurosurgery. 142(3). 1–10. 1 indexed citations
4.
Osorio, Robert C., José Gurrola, Ivan H. El‐Sayed, & Ezequiel Goldschmidt. (2024). Assessing chiasm perfusion and postoperative visual function with superior hypophyseal artery indocyanine green angiograms during endoscopic endonasal surgery. Acta Neurochirurgica. 166(1). 404–404.
5.
Kotas, Maya E., Neil N. Patel, Emily K. Cope, et al.. (2023). IL-13–associated epithelial remodeling correlates with clinical severity in nasal polyposis. Journal of Allergy and Clinical Immunology. 151(5). 1277–1285. 18 indexed citations
6.
Kotas, Maya E., Camille M. Moore, José Gurrola, et al.. (2022). IL-13–programmed airway tuft cells produce PGE2, which promotes CFTR-dependent mucociliary function. JCI Insight. 7(13). 27 indexed citations
7.
Pletcher, Steven D., José Gurrola, Andrew N. Goldberg, et al.. (2021). Septum submucosal glands exhibit aberrant morphology and reduced mucin production in chronic rhinosinusitis. International Forum of Allergy & Rhinology. 11(10). 1443–1451. 2 indexed citations
8.
Giurintano, Jonathan P., José Gurrola, Philip V. Theodosopoulos, & Ivan H. El‐Sayed. (2021). Use of Ultrasound for Navigating the Internal Carotid Artery in Revision Endoscopic Endonasal Skull Base Surgery. Cureus. 13(2). e13547–e13547. 3 indexed citations
9.
Patel, Jaimin, Larry Borish, & José Gurrola. (2021). When medical treatments fail. Annals of Allergy Asthma & Immunology. 127(2). 161–162. 2 indexed citations
10.
Pereira, Matheus P., Tae-Min Oh, Rushikesh S. Joshi, et al.. (2020). Clinical characteristics and outcomes in elderly patients undergoing transsphenoidal surgery for nonfunctioning pituitary adenoma. Neurosurgical FOCUS. 49(4). E19–E19. 17 indexed citations
11.
Roland, Lauren T., José Gurrola, Patricia A. Loftus, Steven W. Cheung, & Jolie L. Chang. (2020). Smell and taste symptom‐based predictive model for COVID‐19 diagnosis. International Forum of Allergy & Rhinology. 10(7). 832–838. 87 indexed citations
12.
Vigo, Vera, Ricky Chae, Minghao Wang, et al.. (2019). Acquisition of Volumetric Models of Skull Base Anatomy Using Endoscopic Endonasal Approaches: 3D Scanning of Deep Corridors Via Photogrammetry. World Neurosurgery. 129. 372–377. 25 indexed citations
13.
Rubio, Roberto Rodriguez, et al.. (2019). Acquisition of Volumetric Models of Skull Base Anatomy Using Endoscopic Endonasal Approaches: 3D Scanning of Deep Corridors via Photogrammetry. Journal of Neurological Surgery Part B Skull Base. 1 indexed citations
14.
Gurrola, José & Larry Borish. (2017). Chronic rhinosinusitis: Endotypes, biomarkers, and treatment response. Journal of Allergy and Clinical Immunology. 140(6). 1499–1508. 82 indexed citations
15.
Borish, Larry, et al.. (2016). Allergic Fungal Rhinosinusitis. The Journal of Allergy and Clinical Immunology In Practice. 4(4). 599–604. 45 indexed citations
16.
White, Lauren, et al.. (2015). The Effect of Smoking on Quality of Life following Sinus Surgery: 10-Year Follow-Up. ORL. 77(1). 39–43. 10 indexed citations
17.
Yang, Tao, José Gurrola, Hao Wu, et al.. (2009). Mutations of KCNJ10 Together with Mutations of SLC26A4 Cause Digenic Nonsyndromic Hearing Loss Associated with Enlarged Vestibular Aqueduct Syndrome. The American Journal of Human Genetics. 84(5). 651–657. 124 indexed citations
18.
Coticchia, James M., Giancarlo Zuliani, C.Norman Coleman, et al.. (2007). Biofilm Surface Area in the Pediatric Nasopharynx. Archives of Otolaryngology - Head and Neck Surgery. 133(2). 110–110. 77 indexed citations
19.
Coticchia, James M., Choichi Sugawa, Vivian Tran, et al.. (2006). Presence and Density of Helicobacter pylori Biofilms in Human Gastric Mucosa in Patients With Peptic Ulcer Disease. Journal of Gastrointestinal Surgery. 10(6). 883–889. 93 indexed citations
20.
Zuliani, Giancarlo, Michael A. Carron, José Gurrola, et al.. (2006). Identification of adenoid biofilms in chronic rhinosinusitis. International Journal of Pediatric Otorhinolaryngology. 70(9). 1613–1617. 98 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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