Nahid El-Bakri

477 citations
19 papers · 356 indexed · h-index 11
Topics
Growth Hormone and Insulin-like Growth Factors (4 papers)Neuroscience and Neuropharmacology Research (2 papers)Estrogen and related hormone effects (2 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEBrain Research

In The Last Decade

Nahid El-Bakri

18 papers receiving 349 citations

Peers

Nahid El-Bakri
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 69
  • Physiology 64
  • Genetics 63
  • Public Health, Environmental and Occupational Health 56
  • Pediatrics, Perinatology and Child Health 45
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Citations per field
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Citations per year

Countries citing papers authored by Nahid El-Bakri

Since Specialization
Citations

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

Fields of papers citing papers by Nahid El-Bakri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nahid El-Bakri. 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 Nahid El-Bakri. The network helps show where Nahid El-Bakri may publish in the future.

Co-authorship network of co-authors of Nahid El-Bakri

This figure shows the co-authorship network connecting the top 25 collaborators of Nahid El-Bakri. A scholar is included among the top collaborators of Nahid El-Bakri 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 Nahid El-Bakri. Nahid El-Bakri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 44
3 21
4 5
5 31
6 27
7
A comparison on the prevalence and outcomes of gestational versus type 2 diabetes mellitus in 1718 Saudi pregnancies.
14
8
The Prevalence of Sleep Problems and its Impact on Sleep Quality and Academic Performance
2
9 24
10
Depression and anxiety in parents of children with epilepsy. Are fathers involved?
8
11 24
12 2
13 81
14 25
15 14
16 24
17 0
18 8
19 1

About Nahid El-Bakri

Nahid El-Bakri is a scholar working on Health Informatics, Endocrinology, Diabetes and Metabolism and Sensory Systems, having authored 19 papers that have together received 356 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Neuroscience and Neuropharmacology Research (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Behavioral Neuroscience (40 citations), Endocrinology, Diabetes and Metabolism (69 citations) and Sensory Systems (20 citations). Nahid El-Bakri has collaborated with scholars based in Saudi Arabia, Sweden and United Arab Emirates. Frequent co-authors include Abdu Adem, Mohamad Al‐Tannir, Atiqul Islam, Bengt Winblad, Amani Abu‐Shaheen, Shunwei Zhu, Abdul Mohammed, Evert Karlsson, Ahmadreza Djalali and Pier Luigi Ingrassia. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain Research.

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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