Daniel Abebe

1.8k citations
65 papers · 1.4k · h-index 25

Impact in

Papers in

Daniel Abebe

62 papers receiving 1.4k citations

Peers

Daniel Abebe
Comparison fields: 5 of 93
  • Developmental Neuroscience 117
  • Pediatrics, Perinatology and Child Health 394
  • Cellular and Molecular Neuroscience 359
  • Endocrine and Autonomic Systems 69
  • Biological Psychiatry 24
Replace Carmen Sato‐Bigbee with:
Carmen Sato‐Bigbee United States
Alexei Kondratyev United States
Regina Vontell United States
Raffaella Morini Italy
Mariana M. Belcheva United States
Yunfei Huang United States
Mei Qiang United States
Victor Han United States
Daisuke Maruyama Japan
Christine Laliberté Canada
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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 2001155
2 200488
3 200854
4 202050
5 200549
6 200449
7 199948
8 200541
9 200840
10 201836
11 201735
12 200634
13 200533
14 202030
15 202030
16 201030
17 201130
18 200329
19 200728
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 1.4k 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 (117 citations), Pediatrics, Perinatology and Child Health (394 citations), Cellular and Molecular Neuroscience (359 citations), Endocrine and Autonomic Systems (69 citations) and Biological Psychiatry (24 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, Endocrinology 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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