Daniel Abebe

1.8k citations
64 papers · 1.3k indexed · h-index 24

Impact in

Papers in

Daniel Abebe

62 papers receiving 1.3k citations

Peers

Daniel Abebe
Comparison fields: 5 of 96
  • Developmental Neuroscience 132
  • Cellular and Molecular Neuroscience 375
  • Pediatrics, Perinatology and Child Health 402
  • Endocrine and Autonomic Systems 98
  • Neurology 93
Replace Yoshihiro Fukui with:
Yoshihiro Fukui Japan
Carmen Sato‐Bigbee United States
Daisuke Maruyama Japan
Raffaella Morini Italy
Alexei Kondratyev United States
Victor Han United States
Isabel Gonçalves Portugal
Yunfei Huang United States
Sandra Dieni Australia
Mariana M. Belcheva United States
Daniel Abebe relative to Yoshihiro Fukui Japan Yoshihiro Fukui's profile →
Citations per field
00.5×2.9×
Yoshihiro Fukui · 1×
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 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001145
2 200483
3 200853
4 200546
5 199946
6 202045
7 200444
8 200838
9 200537
10 201835
11 200634
12 201732
13 202030
14 200530
15 202030
16 201129
17 200329
18 201028
19 200727
20 201626

About Daniel Abebe

Daniel Abebe is a scholar working on Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health, Developmental Neuroscience, Endocrine and Autonomic Systems and Nutrition and Dietetics, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Prenatal Substance Exposure Effects (18 papers), Neonatal and fetal brain pathology (11 papers), Neuropeptides and Animal Physiology (10 papers), Birth, Development, and Health (8 papers), Nerve injury and regeneration (7 papers), Down syndrome and intellectual disability research (7 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neonatal Respiratory Health Research (6 papers). The work is most often cited by research in Developmental Neuroscience (132 citations), Cellular and Molecular Neuroscience (375 citations), Pediatrics, Perinatology and Child Health (402 citations), Endocrine and Autonomic Systems (98 citations) and Neurology (93 citations). Daniel Abebe has collaborated with scholars based in United States, Cameroon and Italy. 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, Experimental Neurology and Scientific Reports.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026