Rivka Green

30 papers receiving 785 citations

Peers

Rivka Green
Comparison fields: 5 of 98
  • Periodontics 154
  • Water Science and Technology 479
  • Developmental Neuroscience 58
  • Health, Toxicology and Mutagenesis 132
  • Orthodontics 21
Replace Ashley J. Malin with:
Ashley J. Malin United States
Stefanie A. Busgang United States
Quanmei Zheng China
Kelly J. Brunst United States
Isolina Riaño Galán Spain
Maritsa Solano-González United States
Christine L. Emsley United States
Jorge Alejandro Alegría‐Torres Mexico
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Citations per year

Countries citing papers authored by Rivka Green

Since Specialization
Citations

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

Fields of papers citing papers by Rivka Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019175
2 201879
3 201970
4 201757
5 201856
6 202142
7 202336
8 202029
9 201824
10 202223
11 201622
12 202121
13 202021
14 202320
15 202320
16 202018
17 202016
18 201815
19 202112
20 202210

About Rivka Green

Rivka Green is a scholar working on Water Science and Technology, Pathology and Forensic Medicine, Clinical Psychology, Health, Toxicology and Mutagenesis and Pediatrics, Perinatology and Child Health, having authored 34 papers that have together received 794 indexed citations. Recurring topics across this work include Fluoride Effects and Removal (17 papers), Multiple Sclerosis Research Studies (4 papers), Family and Disability Support Research (3 papers), Autism Spectrum Disorder Research (2 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers), Dental Health and Care Utilization (2 papers), Per- and polyfluoroalkyl substances research (2 papers) and Infant Development and Preterm Care (2 papers). The work is most often cited by research in Periodontics (154 citations), Water Science and Technology (479 citations), Developmental Neuroscience (58 citations), Health, Toxicology and Mutagenesis (132 citations) and Orthodontics (21 citations). Rivka Green has collaborated with scholars based in Canada, United States and Mexico. Frequent co-authors include Christine Till, Bruce P. Lanphear, E. Angeles Martínez‐Mier, Pierre Ayotte, Gina Muckle, David B. Flora, Richard Hornung, Ilya Kister, Martha María Téllez‐Rojo and Carly Goodman. Their work appears in journals such as Environment International, Environmental Research, Journal of the International Neuropsychological Society, Environmental Health and Environmental Advances.

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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