Maya Gerstein

539 citations
25 papers · 333 · h-index 9

Impact in

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

Papers in

Maya Gerstein

23 papers receiving 307 citations

Peers

Maya Gerstein
Comparison fields: 5 of 66
  • Hematology 96
  • Immunology 102
  • Rheumatology 45
  • Speech and Hearing 19
  • Nephrology 19
Replace Utako Kaneko with:
Utako Kaneko Japan
Adele Compagnone Italy
Oya Köker Türkiye
Ayşe Tanatar Türkiye
Şerife Gül Karadağ Türkiye
Valentina Ansuini Italy
F.Z. Alaoui Morocco
Leila Emma D’Urbano Italy
Lovro Lamot Croatia
Tomohiro Kubota Japan
Maya Gerstein relative to Utako Kaneko Japan Utako Kaneko's profile →
Citations per field
00.5×2.9×
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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201864
2 195760
3 201250
4 201228
5 201124
6 201318
7 202015
8 202113
9 202112
10 20237
11
Chronic chilblains: the clinical presentation and disease course in a large paediatric series.
20136
12 20235
13 20224
14 20144
15 20234
16 20224
17 20234
18 20233
19 20223
20
Machine Learning for Clinical Decision Support of Acute Streptococcal Pharyngitis: A Pilot Study.
20242

About Maya Gerstein

Maya Gerstein is a scholar working on Molecular Biology, Hematology, Public Health, Environmental and Occupational Health, Psychiatry and Mental health and Surgery, having authored 25 papers that have together received 333 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (5 papers), Autoimmune and Inflammatory Disorders Research (5 papers), Streptococcal Infections and Treatments (4 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Attention Deficit Hyperactivity Disorder (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Healthcare cost, quality, practices (1 paper) and Lymphatic Disorders and Treatments (1 paper). The work is most often cited by research in Hematology (96 citations), Immunology (102 citations), Rheumatology (45 citations), Speech and Hearing (19 citations) and Nephrology (19 citations). Maya Gerstein has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Yackov Berkun, Shai Padeh, J.B.J. McKendry, William K. Lindsay, Deborah M. Levy, Earl D. Silverman, Linda T. Hiraki, Itamar Goldstein, Ilan Bank and Nahid Farzam. Their work appears in journals such as The Journal of Pediatrics, Arthritis & Rheumatology, The Journal of Rheumatology, Pediatric 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.

Explore authors with similar magnitude of impact