Daniel Abebe

1.8k citations
65 papers · 1.3k · h-index 24

Impact in

Papers in

Daniel Abebe

62 papers receiving 1.3k citations

Peers

Daniel Abebe
Comparison fields: 5 of 92
  • Developmental Neuroscience 113
  • Pediatrics, Perinatology and Child Health 370
  • Cellular and Molecular Neuroscience 345
  • Endocrine and Autonomic Systems 64
  • Behavioral Neuroscience 34
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Carmen Sato‐Bigbee United States
Alexei Kondratyev United States
Regina Vontell United States
Mariana M. Belcheva United States
Raffaella Morini Italy
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Yunfei Huang United States
Victor Han United States
Daisuke Maruyama Japan
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Abebe

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Abebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001145
2 200483
3 200853
4 202050
5 200546
6 199946
7 200444
8 200838
9 200537
10 201836
11 200634
12 201733
13 200531
14 202030
15 202030
16 200329
17 201129
18 201028
19 200727
20 201827

About Daniel Abebe

Daniel Abebe is a scholar working on Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health, Molecular Biology, Public Health, Environmental and Occupational Health and Physiology, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Prenatal Substance Exposure Effects (17 papers), Neuropeptides and Animal Physiology (9 papers), Nerve injury and regeneration (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Down syndrome and intellectual disability research (6 papers), Neonatal and fetal brain pathology (4 papers), Alzheimer's disease research and treatments (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Developmental Neuroscience (113 citations), Pediatrics, Perinatology and Child Health (370 citations), Cellular and Molecular Neuroscience (345 citations), Endocrine and Autonomic Systems (64 citations) and Behavioral Neuroscience (34 citations). Daniel Abebe has collaborated with scholars based in United States, Cameroon and Hungary. Frequent co-authors include Catherine Y. Spong, Joanna M. Hill, Robin Roberson, Douglas E. Brenneman, Laura Toso, Illana Gozes, Joy Vink, Sarah Poggi, Niamh X. Cawley and Y. Peng Loh. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Cell Reports, Obstetrics and Gynecology, Journal of Pharmacology and Experimental Therapeutics and Translational Psychiatry.

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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