Nevert Badreldin

617 citations
40 papers · 375 · h-index 9

Impact in

Papers in

Nevert Badreldin

37 papers receiving 370 citations

Peers

Nevert Badreldin
Comparison fields: 5 of 54
  • Obstetrics and Gynecology 74
  • Pediatrics, Perinatology and Child Health 64
  • Anesthesiology and Pain Medicine 17
  • Public Health, Environmental and Occupational Health 91
  • Health Informatics 2
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Citations per year

Countries citing papers authored by Nevert Badreldin

Since Specialization
Citations

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

Fields of papers citing papers by Nevert Badreldin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019120
2 201865
3 201826
4 201818
5 202117
6 201815
7 202111
8 202111
9 20219
10 20218
11 20227
12 20167
13 20206
14 20235
15 20195
16 20225
17 20254
18 20224
19 20234
20 20203

About Nevert Badreldin

Nevert Badreldin is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Obstetrics and Gynecology, Epidemiology and Infectious Diseases, having authored 40 papers that have together received 375 indexed citations. Recurring topics across this work include Maternal Mental Health During Pregnancy and Postpartum (5 papers), Opioid Use Disorder Treatment (5 papers), Prenatal Substance Exposure Effects (4 papers), Gestational Diabetes Research and Management (3 papers), Antifungal resistance and susceptibility (3 papers), Fungal Infections and Studies (3 papers), Pain Management and Opioid Use (3 papers) and Maternal and Perinatal Health Interventions (3 papers). The work is most often cited by research in Obstetrics and Gynecology (74 citations), Pediatrics, Perinatology and Child Health (64 citations), Anesthesiology and Pain Medicine (17 citations), Public Health, Environmental and Occupational Health (91 citations) and Health Informatics (2 citations). Nevert Badreldin has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Lynn M. Yee, William A. Grobman, Annie Dude, Ashley N. Battarbee, Marcela C. Smid, Amanda A. Allshouse, Jeffrey A. Kuller, Charlotte M. Niznik, Kiarri N. Kershaw and Molly Beestrum. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Journal of Midwifery & Women s Health, American Journal of Perinatology, Clinical Infectious Diseases and Obstetrics and Gynecology.

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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