Maya Gerstein

517 citations
24 papers · 299 indexed · h-index 9

Impact in

  • Hematology top 10%
    • Autoimmune and Inflammatory Disorders Research
    • Immune Cell Function and Interaction

Papers in

Maya Gerstein

22 papers receiving 282 citations

Peers

Maya Gerstein
Comparison fields: 5 of 68
  • Hematology 96
  • Immunology 125
  • Speech and Hearing 28
  • Nephrology 29
  • Rheumatology 46
Replace Utako Kaneko with:
Utako Kaneko Japan
Valentina Ansuini Italy
Leila Emma D’Urbano Italy
Butsabong Lerkvaleekul Thailand
Normi Brück Germany
Sheila Oliveira United States
Tomohiro Kubota Japan
F.Z. Alaoui Morocco
Inmaculada Calvo Penadés Spain
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Citations per field
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Utako Kaneko · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Maya Gerstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maya Gerstein Line = papers co-authored together Maya Gerstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201855
2 195749
3 201245
4 201228
5 201124
6 201318
7 202113
8 202012
9 202112
10 20237
11 20235
12 20234
13 20224
14
Chronic chilblains: the clinical presentation and disease course in a large paediatric series.
20134
15 20224
16 20233
17 20233
18 20223
19 20143
20 20221

About Maya Gerstein

Maya Gerstein is a scholar working on Molecular Biology, Hematology, Surgery, Rheumatology and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 299 indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (6 papers), Inflammasome and immune disorders (6 papers), Kawasaki Disease and Coronary Complications (4 papers), Streptococcal Infections and Treatments (4 papers), Vaccine Coverage and Hesitancy (3 papers), Immune Cell Function and Interaction (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Systemic Lupus Erythematosus Research (3 papers). The work is most often cited by research in Hematology (96 citations), Immunology (125 citations), Speech and Hearing (28 citations), Nephrology (29 citations) and Rheumatology (46 citations). Maya Gerstein has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Shai Padeh, Yackov Berkun, William K. Lindsay, J.B.J. McKendry, Earl D. Silverman, Linda T. Hiraki, Deborah M. Levy, Ilan Bank, Itamar Goldstein and Herman Avner Cohen. Their work appears in journals such as Pediatric Rheumatology, The Journal of Pediatrics, The Journal of Rheumatology, Arthritis & Rheumatology and Frontiers in Pediatrics.

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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