Maya Bunik

2.1k citations
48 papers · 1.2k · 1 hit paper · h-index 17

Impact in

Papers in

Maya Bunik

44 papers receiving 1.1k citations

Maya Bunik's Hit Papers

Telemedicine: Pediatric Applications 2015 · 312 citations
3120+3+7Years since publication100200300

Peers

Maya Bunik
Comparison fields: 5 of 107
  • Epidemiology 412
  • Psychiatry and Mental health 157
  • General Health Professions 222
  • Public Health, Environmental and Occupational Health 238
  • Emergency Medicine 68
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Citations per field
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Citations per year

Countries citing papers authored by Maya Bunik

Since Specialization
Citations

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

Fields of papers citing papers by Maya Bunik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maya Bunik, 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 Bunik Line = papers co-authored together Maya Bunik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Telemedicine: Pediatric Applications
Hit paper breakdown →
2015312
2 201785
3 200675
4 201273
5 201070
6 200651
7 201348
8 200742
9 201638
10 202135
11 201434
12 201731
13 202028
14 201728
15 201319
16 201919
17 201118
18 200616
19 200915
20 202115

About Maya Bunik

Maya Bunik is a scholar working on Epidemiology, General Health Professions, Psychiatry and Mental health, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breastfeeding Practices and Influences (20 papers), Child Nutrition and Feeding Issues (10 papers), Maternal Mental Health During Pregnancy and Postpartum (5 papers), Child and Adolescent Health (5 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers), Infant Development and Preterm Care (4 papers), Mobile Health and mHealth Applications (3 papers) and Infant Nutrition and Health (3 papers). The work is most often cited by research in Epidemiology (412 citations), Psychiatry and Mental health (157 citations), General Health Professions (222 citations), Public Health, Environmental and Occupational Health (238 citations) and Emergency Medicine (68 citations). Maya Bunik has collaborated with scholars based in United States, Portugal and Vietnam. Frequent co-authors include Allison Kempe, Peter J. Dehnel, Joshua Alexander, Bryan L. Burke, Richard Hall, Marianne R. Neifert, Brenda L. Beaty, Ayelet Talmi, Lori A. Crane and Mary E. O’Connor. Their work appears in journals such as PEDIATRICS, Breastfeeding Medicine, Academic Pediatrics, Journal of Human Lactation and Journal of Pediatric Psychology.

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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