Irina Pivneva

1.6k total citations
43 papers, 1.0k citations indexed

About

Irina Pivneva is a scholar working on Rheumatology, Cognitive Neuroscience and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Irina Pivneva has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Rheumatology, 9 papers in Cognitive Neuroscience and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Irina Pivneva's work include Neurobiology of Language and Bilingualism (9 papers), Chronic Myeloid Leukemia Treatments (8 papers) and Reading and Literacy Development (7 papers). Irina Pivneva is often cited by papers focused on Neurobiology of Language and Bilingualism (9 papers), Chronic Myeloid Leukemia Treatments (8 papers) and Reading and Literacy Development (7 papers). Irina Pivneva collaborates with scholars based in United States, Canada and United Kingdom. Irina Pivneva's co-authors include Debra Titone, Julie Mercier, Annie Guérin, Veronica Whitford, Amber Evans, Ipek Özer Stillman, Reza Dana, John L. Bradley, Debra A. Schaumberg and Jason W. Gullifer and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Irina Pivneva

39 papers receiving 981 citations

Peers

Irina Pivneva
Natalie C. Kerr United States
Karen Jo Doyle United States
Laurel M. Fisher United States
David Abernethy New Zealand
Tara Rachakonda United States
Fiza Singh United States
Sandra M. Brown United States
Natalie C. Kerr United States
Irina Pivneva
Citations per year, relative to Irina Pivneva Irina Pivneva (= 1×) peers Natalie C. Kerr

Countries citing papers authored by Irina Pivneva

Since Specialization
Citations

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

Fields of papers citing papers by Irina Pivneva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irina Pivneva

This figure shows the co-authorship network connecting the top 25 collaborators of Irina Pivneva. A scholar is included among the top collaborators of Irina Pivneva 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 Irina Pivneva. Irina Pivneva 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
2.
Muntyanu, Anastasiya, Mohammed Kaouache, Wayne Gulliver, et al.. (2024). Tree-Based Machine Learning to Identify Predictors of Psoriasis Incidence at the Neighborhood Level: A Populational Study from Quebec, Canada. American Journal of Clinical Dermatology. 25(3). 497–508. 4 indexed citations
3.
Riedl, Marc A., Jonathan Rodrigues, Merin Kuruvilla, et al.. (2024). Clinical burden, treatment, and disease control in patients with chronic spontaneous urticaria. Annals of Allergy Asthma & Immunology. 134(3). 324–332.e4. 4 indexed citations
4.
Narayan, Vivek, et al.. (2023). 1824P Treatment patterns among novel hormonal therapy-experienced patients with metastatic castration-resistant prostate cancer. Annals of Oncology. 34. S988–S988. 1 indexed citations
5.
Soong, Weily, Irina Pivneva, James Signorovitch, et al.. (2023). Disease burden and predictors associated with non-response to antihistamine-based therapy in chronic spontaneous urticaria. World Allergy Organization Journal. 16(12). 100843–100843. 8 indexed citations
6.
Lin, Feng, Winghan Jacqueline Kwong, Sherry Shi, et al.. (2022). Author Correction: Surgical Treatment Patterns, Healthcare Resource Utilization, and Economic Burden in Patients with Tenosynovial Giant Cell Tumor Who Underwent Joint Surgery in the United States. Journal of health economics and outcomes research. 9(1). 3 indexed citations
7.
Ionescu‐Ittu, Raluca, Irina Pivneva, Willy Wynant, et al.. (2021). The Economic Burden of Tenosynovial Giant Cell Tumors Among Employed Workforce in the United States. Journal of Occupational and Environmental Medicine. 63(4). e197–e202. 5 indexed citations
9.
Pivneva, Irina, et al.. (2019). Dry eye disease ranking among common reasons for seeking eye care in a large US claims database. SHILAP Revista de lepidopterología. 2 indexed citations
10.
Stillman, Ipek Özer, et al.. (2019). <p>Dry eye disease ranking among common reasons for seeking eye care in a large US claims database</p>. Clinical ophthalmology. Volume 13. 225–232. 46 indexed citations
11.
Dana, Reza, John L. Bradley, Annie Guérin, et al.. (2018). Comorbidities and Prescribed Medications in Patients With or Without Dry Eye Disease: A Population-Based Study. American Journal of Ophthalmology. 198. 181–192. 23 indexed citations
12.
Gullifer, Jason W., Xiaoqian J. Chai, Veronica Whitford, et al.. (2018). Bilingual experience and resting-state brain connectivity: Impacts of L2 age of acquisition and social diversity of language use on control networks. Neuropsychologia. 117. 123–134. 140 indexed citations
13.
Kimball, Alexa B., Murali Sundaram, Geneviève Gauthier, et al.. (2018). The Comorbidity Burden of Hidradenitis Suppurativa in the United States: A Claims Data Analysis. Dermatology and Therapy. 8(4). 557–569. 55 indexed citations
14.
Borghaei, Hossein, Yeun Mi Yim, Annie Guérin, et al.. (2018). Severe adverse events impact overall survival and costs in elderly patients with advanced non-small cell lung cancer on second-line therapy. Lung Cancer. 119. 112–119. 10 indexed citations
15.
Ritchie, Ellen K., Dominick Latrémouille-Viau, Annie Guérin, et al.. (2017). Treatment Patterns in Patients with Chronic Myeloid Leukemia in Chronic Phase in US Clinical Practice, with a Focus on Tyrosine Kinase Inhibitor Therapy Discontinuation. Blood. 130. 3396–3396. 1 indexed citations
16.
Ganti, Apar Kishor, Fred R. Hirsch, Murry W. Wynes, et al.. (2017). P2.03b-048 Access to Biomarker Testing in Patients with Advanced Non-Small Cell Lung Cancer. Journal of Thoracic Oncology. 12(1). S964–S965. 1 indexed citations
17.
Yim, Yeun Mi, A. Guérin, Raluca Ionescu‐Ittu, et al.. (2016). Impact of severe adverse events during second-line therapy on healthcare costs in patients with advanced non-small cell lung cancer (aNSCLC). Annals of Oncology. 27. vi424–vi424. 1 indexed citations
18.
Pivneva, Irina, Julie Mercier, & Debra Titone. (2014). Executive control modulates cross-language lexical activation during L2 reading: Evidence from eye movements.. Journal of Experimental Psychology Learning Memory and Cognition. 40(3). 787–796. 72 indexed citations
19.
Pivneva, Irina, Caroline Palmėr, & Debra Titone. (2012). Inhibitory Control and L2 Proficiency Modulate Bilingual Language Production: Evidence from Spontaneous Monologue and Dialogue Speech. Frontiers in Psychology. 3. 57–57. 49 indexed citations
20.
Titone, Debra, Maya Libben, Julie Mercier, Veronica Whitford, & Irina Pivneva. (2011). Bilingual lexical access during L1 sentence reading: The effects of L2 knowledge, semantic constraint, and L1–L2 intermixing.. Journal of Experimental Psychology Learning Memory and Cognition. 37(6). 1412–1431. 97 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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