Inna Dashevsky

1.5k total citations
30 papers, 1.1k citations indexed

About

Inna Dashevsky is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Toxicology. According to data from OpenAlex, Inna Dashevsky has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 9 papers in Public Health, Environmental and Occupational Health and 8 papers in Toxicology. Recurrent topics in Inna Dashevsky's work include Pharmacovigilance and Adverse Drug Reactions (8 papers), Pregnancy and Medication Impact (8 papers) and Pregnancy and preeclampsia studies (6 papers). Inna Dashevsky is often cited by papers focused on Pharmacovigilance and Adverse Drug Reactions (8 papers), Pregnancy and Medication Impact (8 papers) and Pregnancy and preeclampsia studies (6 papers). Inna Dashevsky collaborates with scholars based in United States, Canada and Australia. Inna Dashevsky's co-authors include Richard Platt, Marsha A. Raebel, Susan E. Andrade, Ross Lazarus, Alfred DeMaria, Ken Kleinman, Pamala A. Pawloski, Robert L. Davis, Sengwee Toh and Martin Kulldorff and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Epidemiology.

In The Last Decade

Inna Dashevsky

28 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inna Dashevsky United States 17 358 324 246 162 156 30 1.1k
Noelle M. Cocoros United States 19 488 1.4× 165 0.5× 54 0.2× 28 0.2× 44 0.3× 76 1.1k
Gino Picelli Netherlands 20 182 0.5× 77 0.2× 297 1.2× 16 0.1× 248 1.6× 41 1.1k
Jérôme Drouin France 20 149 0.4× 219 0.7× 92 0.4× 94 0.6× 25 0.2× 53 1.1k
Hojjat Salmasian United States 20 303 0.8× 139 0.4× 87 0.4× 17 0.1× 153 1.0× 66 1.4k
Judith C. Maro United States 15 208 0.6× 117 0.4× 59 0.2× 30 0.2× 131 0.8× 65 777
Aman Verma Canada 18 336 0.9× 191 0.6× 140 0.6× 24 0.1× 24 0.2× 67 1.4k
Kelemu Tilahun Kibret Australia 15 332 0.9× 159 0.5× 169 0.7× 98 0.6× 21 0.1× 24 1.1k
Azadeh Shoaibi United States 14 74 0.2× 163 0.5× 50 0.2× 30 0.2× 76 0.5× 40 846
Cristiano Soares de Moura Canada 17 104 0.3× 128 0.4× 104 0.4× 23 0.1× 70 0.4× 59 999
Nandini Selvam United States 16 99 0.3× 99 0.3× 79 0.3× 25 0.2× 43 0.3× 38 736

Countries citing papers authored by Inna Dashevsky

Since Specialization
Citations

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

Fields of papers citing papers by Inna Dashevsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inna Dashevsky

This figure shows the co-authorship network connecting the top 25 collaborators of Inna Dashevsky. A scholar is included among the top collaborators of Inna Dashevsky 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 Inna Dashevsky. Inna Dashevsky 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.
Singh, Sonal, Xiaojuan Li, Noelle M. Cocoros, et al.. (2024). High-Risk Medications in Persons Living With Dementia. JAMA Internal Medicine. 184(12). 1426–1426. 4 indexed citations
3.
Thai, Thuy Nhu, Almut G. Winterstein, Elizabeth A. Suarez, et al.. (2024). Triple challenges—small sample size in both exposure and control groups to scan rare maternal outcomes in a signal identification approach: a simulation study. American Journal of Epidemiology. 193(12). 1805–1813.
4.
Suarez, Elizabeth A., Michael Nguyen, Di Zhang, et al.. (2022). Monitoring Drug Safety in Pregnancy with Scan Statistics: A Comparison of Two Study Designs. Epidemiology. 34(1). 90–98. 4 indexed citations
5.
Suarez, Elizabeth A., Michael Nguyen, Di Zhang, et al.. (2022). Novel methods for pregnancy drug safety surveillance in the FDA Sentinel System. Pharmacoepidemiology and Drug Safety. 32(2). 126–136. 9 indexed citations
6.
Singh, Sonal, Noelle M. Cocoros, Kevin Haynes, et al.. (2021). Antidopaminergic‐Antiparkinsonian Medication Prescribing Cascade in Persons with Alzheimer's Disease. Journal of the American Geriatrics Society. 69(5). 1328–1333. 13 indexed citations
7.
Singh, Sonal, Noelle M. Cocoros, Kevin Haynes, et al.. (2021). Identifying prescribing cascades in Alzheimer's disease and related dementias: The calcium channel blocker‐diuretic prescribing cascade. Pharmacoepidemiology and Drug Safety. 30(8). 1066–1073. 18 indexed citations
8.
Yih, W. Katherine, Martin Kulldorff, Inna Dashevsky, & Judith C. Maro. (2021). A Broad Safety Assessment of the 9-Valent Human Papillomavirus Vaccine. American Journal of Epidemiology. 190(7). 1253–1259. 12 indexed citations
9.
Yih, W. Katherine, Martin Kulldorff, Inna Dashevsky, & Judith C. Maro. (2019). Using the Self-Controlled Tree-Temporal Scan Statistic to Assess the Safety of Live Attenuated Herpes Zoster Vaccine. American Journal of Epidemiology. 188(7). 1383–1388. 16 indexed citations
10.
Cottreau, Carrie M., Inna Dashevsky, Susan E. Andrade, et al.. (2018). Pregnancy-Associated Cancer: A U.S. Population-Based Study. Journal of Women s Health. 28(2). 250–257. 87 indexed citations
11.
Wang, Shirley, Judith C. Maro, Rima Izem, et al.. (2018). Data Mining for Adverse Drug Events With a Propensity Score-matched Tree-based Scan Statistic. Epidemiology. 29(6). 895–903. 31 indexed citations
12.
Yih, W. Katherine, Judith C. Maro, Michael Nguyen, et al.. (2018). Assessment of Quadrivalent Human Papillomavirus Vaccine Safety Using the Self-Controlled Tree-Temporal Scan Statistic Signal-Detection Method in the Sentinel System. American Journal of Epidemiology. 187(6). 1269–1276. 30 indexed citations
13.
Maro, Judith C., Michael Nguyen, Inna Dashevsky, Meghan A. Baker, & Martin Kulldorff. (2017). Statistical Power for Postlicensure Medical Product Safety Data Mining. SHILAP Revista de lepidopterología. 5(1). 6–6. 7 indexed citations
14.
Toh, Sengwee, Qian Li, T. Craig Cheetham, et al.. (2013). Prevalence and trends in the use of antipsychotic medications during pregnancy in the U.S., 2001–2007: a population-based study of 585,615 deliveries. Archives of Women s Mental Health. 16(2). 149–157. 100 indexed citations
15.
Johnson, Karin, Sarah J. Beaton, Susan E. Andrade, et al.. (2013). Methods of linking mothers and infants using health plan data for studies of pregnancy outcomes. Pharmacoepidemiology and Drug Safety. 22(7). 776–782. 21 indexed citations
16.
Andrade, Susan E., Pamela E. Scott, Robert L. Davis, et al.. (2012). Validity of health plan and birth certificate data for pregnancy research. Pharmacoepidemiology and Drug Safety. 22(1). 7–15. 107 indexed citations
17.
Andrade, Susan E., Tiffany A. Moore Simas, Denise M. Boudreau, et al.. (2011). Validation of algorithms to ascertain clinical conditions and medical procedures used during pregnancy. Pharmacoepidemiology and Drug Safety. 20(11). 1168–1176. 28 indexed citations
18.
Andrade, Susan E., Robert L. Davis, T. Craig Cheetham, et al.. (2011). Medication Exposure in Pregnancy Risk Evaluation Program. Maternal and Child Health Journal. 16(7). 1349–1354. 51 indexed citations
19.
Wagner, Anita K., K. Arnold Chan, Inna Dashevsky, et al.. (2005). FDA drug prescribing warnings: is the black box half empty or half full?. Pharmacoepidemiology and Drug Safety. 15(6). 369–386. 65 indexed citations
20.
Lazarus, Ross, Ken Kleinman, Inna Dashevsky, Alfred DeMaria, & Richard Platt. (2001). Using automated medical records for rapid identification of illness syndromes (syndromic surveillance): the example of lower respiratory infection. BMC Public Health. 1(1). 9–9. 129 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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