Glen Mola
- Pediatrics, Perinatology and Child Health top 1%
- Obstetrics and Gynecology top 0.5%
- Public Health, Environmental and Occupational Health top 5%
- Epidemiology top 10%
- General Health Professions top 5%
- Co-authors
- Caroline HomerRachel M. TribeNiamh KellyHussein KidantoLisa AveryGerard H.A. VisserHolly Powell KennedyPaul Taylor
- Topics
- Global Maternal and Child Health (30 papers)Maternal and Perinatal Health Interventions (21 papers)Maternal and fetal healthcare (11 papers)
- Partner nations
- Papua New GuineaAustraliaUnited Kingdom
In The Last Decade
Glen Mola
69 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Pediatrics, Perinatology and Child Health 939
- Obstetrics and Gynecology 887
- Public Health, Environmental and Occupational Health 416
- Epidemiology 283
- General Health Professions 210
Countries citing papers authored by Glen Mola
This map shows the geographic impact of Glen Mola'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 Glen Mola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glen Mola more than expected).
Fields of papers citing papers by Glen Mola
This network shows the impact of papers produced by Glen Mola. 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 Glen Mola. The network helps show where Glen Mola may publish in the future.
Co-authorship network of co-authors of Glen Mola
This figure shows the co-authorship network connecting the top 25 collaborators of Glen Mola. A scholar is included among the top collaborators of Glen Mola 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 Glen Mola. Glen Mola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 31 | |
| 10 | 16 | |
| 11 | 56 | |
| 12 | 27 | |
| 13 | 9 | |
| 14 | 27 | |
| 15 | 16 | |
| 16 | 24 | |
| 17 | 13 | |
| 18 | Sclerosing stromal tumour of the ovary. | 3 |
| 19 | Gestational diabetes in Papua New Guinea. | 4 |
| 20 | Marcas y deportes | 5 |
About Glen Mola
Glen Mola is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Microbiology, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include Global Maternal and Child Health (30 papers), Maternal and Perinatal Health Interventions (21 papers) and Maternal and fetal healthcare (11 papers). The work is most often cited by research in Obstetrics and Gynecology (887 citations), Pediatrics, Perinatology and Child Health (939 citations) and Microbiology (108 citations). Glen Mola has collaborated with scholars based in Papua New Guinea, Australia and United Kingdom. Frequent co-authors include Caroline Homer, Rachel M. Tribe, Niamh Kelly, Hussein Kidanto, Lisa Avery, Gerard H.A. Visser, Holly Powell Kennedy, Paul Taylor, Jane Sandall and Deena L. Gibbons. Their work appears in journals such as The Lancet, PLoS ONE and The Lancet Oncology.
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.