Maya Gerstein

517 total citations
24 papers, 299 citations indexed

About

Maya Gerstein is a scholar working on Molecular Biology, Hematology and Surgery. According to data from OpenAlex, Maya Gerstein has authored 24 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Hematology and 5 papers in Surgery. Recurrent topics in Maya Gerstein's work include Autoimmune and Inflammatory Disorders Research (6 papers), Inflammasome and immune disorders (6 papers) and Kawasaki Disease and Coronary Complications (4 papers). Maya Gerstein is often cited by papers focused on Autoimmune and Inflammatory Disorders Research (6 papers), Inflammasome and immune disorders (6 papers) and Kawasaki Disease and Coronary Complications (4 papers). Maya Gerstein collaborates with scholars based in Israel, United States and Canada. Maya Gerstein's co-authors include Yackov Berkun, Shai Padeh, J.B.J. McKendry, William K. Lindsay, Earl D. Silverman, Deborah M. Levy, Linda T. Hiraki, Ilan Bank, Itamar Goldstein and Victoria Marcu‐Malina and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Maya Gerstein

22 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maya Gerstein Israel	9	125	96	92	90	46	24	299
Utako Kaneko Japan	11	149 1.2×	98 1.0×	112 1.2×	67 0.7×	67 1.5×	29	334
Valentina Ansuini Italy	9	122 1.0×	156 1.6×	171 1.9×	71 0.8×	31 0.7×	12	324
Normi Brück Germany	10	127 1.0×	184 1.9×	109 1.2×	85 0.9×	67 1.5×	21	326
Leila Emma D’Urbano Italy	7	198 1.6×	177 1.8×	96 1.0×	85 0.9×	31 0.7×	8	436
Tomohiro Kubota Japan	10	113 0.9×	239 2.5×	119 1.3×	84 0.9×	61 1.3×	29	384
Butsabong Lerkvaleekul Thailand	10	94 0.8×	131 1.4×	37 0.4×	56 0.6×	74 1.6×	23	277
Sheila Oliveira United States	6	70 0.6×	165 1.7×	75 0.8×	55 0.6×	67 1.5×	7	298
F.Z. Alaoui Morocco	5	142 1.1×	230 2.4×	137 1.5×	62 0.7×	77 1.7×	24	368
Florence Uettwiller France	9	54 0.4×	123 1.3×	55 0.6×	45 0.5×	54 1.2×	17	268
María Martha Katsicas Argentina	10	66 0.5×	204 2.1×	56 0.6×	105 1.2×	80 1.7×	24	334

Countries citing papers authored by Maya Gerstein

Since Specialization

Citations

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

Fields of papers citing papers by Maya Gerstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Gerstein

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

Gerstein, Maya, et al.. (2025). Psychometric validation of the Cystic Fibrosis Impact Questionnaire (CF-IQ): A patient-reported outcome assessing impacts of cystic fibrosis. PLoS ONE. 20(1). e0317775–e0317775.

Hoffer, Oshrit, et al.. (2024). Machine Learning for Clinical Decision Support of Acute Streptococcal Pharyngitis: A Pilot Study.. PubMed. 26(5). 299–303. 1 indexed citations

Gerstein, Maya, et al.. (2023). Effect of interleukin-1 antagonist on growth of children with colchicine resistant or intolerant FMF. Pediatric Rheumatology. 21(1). 4–4. 5 indexed citations

Gerstein, Maya, et al.. (2023). Colchicine treatment can be discontinued in a selected group of pediatric FMF patients. Pediatric Rheumatology. 21(1). 2–2. 3 indexed citations

Cohen, Herman Avner, et al.. (2023). Personal hygiene, environmental conditions, and toilet use of children in primary schools: A cohort study. Journal of Pediatric Urology. 19(6). 721–727. 4 indexed citations

Hoshen, Moshe, et al.. (2023). How to increase COVID-19 vaccine uptake among children? determinants associated with vaccine compliance. Frontiers in Pediatrics. 10. 1038308–1038308. 3 indexed citations

Bierman, Arlene S., et al.. (2023). From precision medicine to precision care: Choosing and using precision medicine in the context of multimorbidity. SHILAP Revista de lepidopterología. 1. 7 indexed citations

Cohen, Herman Avner, et al.. (2023). Antibiotic Stewardship for Community-Acquired Pediatric Pharyngitis: A Pre-Post Intervention Study.. PubMed. 25(7). 500–504.

Gerstein, Maya, et al.. (2022). Poststreptococcal Myalgia and Protracted Febrile Myalgia Syndrome: Similar Yet Different. The Journal of Pediatrics. 247. 163–167.e2. 1 indexed citations

10.

Cohen, Herman Avner, et al.. (2022). Pediatric Antibiotic Stewardship for Community-Acquired Pneumonia: A Pre–Post Intervention Study. Clinical Pediatrics. 61(11). 795–801. 3 indexed citations

11.

Grossman, Zachi, et al.. (2022). Variables Associated With COVID-19 Vaccination Among Israeli Adolescents and the Need for Targeted Interventions. The Pediatric Infectious Disease Journal. 41(11). 927–932. 4 indexed citations

12.

Tirosh, Irit, et al.. (2021). Clinical significance of E148Q heterozygous variant in paediatric familial Mediterranean fever. Lara D. Veeken. 60(11). 5447–5451. 13 indexed citations

13.

Gerstein, Maya, Brian M. Feldman, Deborah M. Levy, et al.. (2020). Predicting Macrophage Activation Syndrome in Childhood-onset Systemic Lupus Erythematosus Patients at Diagnosis. The Journal of Rheumatology. 48(9). 1450–1457. 12 indexed citations

14.

Gerstein, Maya, et al.. (2018). Features, Treatment, and Outcomes of Macrophage Activation Syndrome in Childhood‐Onset Systemic Lupus Erythematosus. Arthritis & Rheumatology. 70(4). 616–624. 55 indexed citations

15.

Gerstein, Maya, Deborah M. Levy, Brian M. Feldman, et al.. (2014). A15: Predicting Macrophage Activation Syndrome in Pediatric Systemic Lupus Erythematosus Patients at Diagnosis. Arthritis & Rheumatology. 66(S3). 3 indexed citations

16.

Padeh, Shai, et al.. (2013). Pentraxin 3 is a marker of early joint inflammation in patients with juvenile idiopathic arthritis. Immunologic Research. 56(2-3). 444–450. 18 indexed citations

17.

Padeh, Shai, Maya Gerstein, Shoshana Greenberger, & Yackov Berkun. (2013). Chronic chilblains: the clinical presentation and disease course in a large paediatric series.. PubMed. 31(3). 463–8. 4 indexed citations

18.

Padeh, Shai, Maya Gerstein, & Yackov Berkun. (2012). Colchicine is a Safe Drug in Children with Familial Mediterranean Fever. The Journal of Pediatrics. 161(6). 1142–1146. 45 indexed citations

19.

Berkun, Yackov, et al.. (2011). γδT cells in Juvenile Idiopathic Arthritis: Higher Percentages of Synovial Vδ1+ and Vγ9+ T Cell Subsets Are Associated with Milder Disease. The Journal of Rheumatology. 38(6). 1123–1129. 24 indexed citations

20.

McKendry, J.B.J., William K. Lindsay, & Maya Gerstein. (1957). CONGENITAL DEFECTS OF THE LYMPHATICS IN INFANCY. PEDIATRICS. 19(1). 21–35. 49 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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