Nihal A. Salem

413 citations
19 papers · 268 · h-index 11

Impact in

Papers in

Nihal A. Salem

19 papers receiving 267 citations

Peers

Nihal A. Salem
Comparison fields: 5 of 50
  • Obstetrics and Gynecology 64
  • Pediatrics, Perinatology and Child Health 114
  • Cancer Research 55
  • Developmental Neuroscience 11
  • Neurology 21
Replace Kate Goasdoué with:
Kate Goasdoué Australia
Daniela F. Requena United States
Elisa Bouillet Switzerland
Bharati Sinha United States
Elena Loche United Kingdom
Mary Resseguie United States
Pierpaola Tannorella Italy
Ioannis Mavromatis Greece
Sukanta Jash United States
Jessica S. Jarmasz Canada
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Citations per field
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Citations per year

Countries citing papers authored by Nihal A. Salem

Since Specialization
Citations

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

Fields of papers citing papers by Nihal A. Salem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nihal A. Salem. 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 Nihal A. Salem. The network helps show where Nihal A. Salem may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201941
2 202132
3 201930
4 202123
5 201820
6 202019
7 202318
8 201815
9 201714
10 202010
11 202310
12 20209
13 20227
14 20227
15 20246
16 20253
17 20222
18 20241
19 20241

About Nihal A. Salem

Nihal A. Salem is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Obstetrics and Gynecology, Cellular and Molecular Neuroscience and Neurology, having authored 19 papers that have together received 268 indexed citations. Recurring topics across this work include Prenatal Substance Exposure Effects (6 papers), Pregnancy and preeclampsia studies (4 papers), Birth, Development, and Health (4 papers), MicroRNA in disease regulation (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Adipose Tissue and Metabolism (3 papers), RNA modifications and cancer (2 papers) and Gestational Diabetes Research and Management (2 papers). The work is most often cited by research in Obstetrics and Gynecology (64 citations), Pediatrics, Perinatology and Child Health (114 citations), Cancer Research (55 citations), Developmental Neuroscience (11 citations) and Neurology (21 citations). Nihal A. Salem has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include Rajesh C. Miranda, Alexander M. Tseng, Amanda H. Mahnke, Marisa R. Pinson, Andrew Hillhouse, R. Dayne Mayfield, Kranti Konganti, Amanda J. Roberts, Gayatri R. Tiwari and Joseph L. Jacobson. Their work appears in journals such as Neurobiology of Stress, Biology of Sex Differences, Alcoholism Clinical and Experimental Research, Alcohol and iScience.

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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