Alvaro Sagasti

4.0k citations
48 papers · 2.7k indexed · h-index 28

Alvaro Sagasti

48 papers receiving 2.7k citations

Peers

Alvaro Sagasti
Comparison fields: 5 of 117
  • Aging 737
  • Endocrine and Autonomic Systems 505
  • Developmental Neuroscience 256
  • Cellular and Molecular Neuroscience 1.0k
  • Cell Biology 662
Replace Massimo A. Hilliard with:
Massimo A. Hilliard Australia
Keiko Gengyo‐Ando Japan
Marc Hammarlund United States
Michael J. Bastiani United States
Shai Shaham United States
Erika Hartwieg United States
David M. Miller United States
Paul M. Salvaterra United States
Sean T. Sweeney United Kingdom
Vincent O’Connor United Kingdom
Alvaro Sagasti relative to Massimo A. Hilliard Australia Massimo A. Hilliard's profile →
Citations per field
00.5×1.5×2.0×
Massimo A. Hilliard · 1×
Citations per year

Countries citing papers authored by Alvaro Sagasti

Since Specialization
Citations

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

Fields of papers citing papers by Alvaro Sagasti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20237
2 20221
3 20217
4 20218
5 202023
6 201790
7 201662
8 201665
9 201317
10 20136
11 201384
12 201251
13 2011135
14 200954
15 200738
16 2002116
17 2001172
18 1999126
19 1999227
20 1998258

About Alvaro Sagasti

Alvaro Sagasti is a scholar working on Aging, Developmental Neuroscience, Cellular and Molecular Neuroscience, Cell Biology and Sensory Systems, having authored 48 papers that have together received 2.7k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (18 papers), Neurobiology and Insect Physiology Research (11 papers), Nerve injury and regeneration (11 papers), Axon Guidance and Neuronal Signaling (10 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Cellular Mechanics and Interactions (4 papers) and Retinal Development and Disorders (4 papers). The work is most often cited by research in Aging (737 citations), Endocrine and Autonomic Systems (505 citations), Developmental Neuroscience (256 citations), Cellular and Molecular Neuroscience (1.0k citations) and Cell Biology (662 citations). Alvaro Sagasti has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Cornelia I. Bargmann, Emily R. Troemel, Sandra Rieger, Jeffrey P. Rasmussen, Kelley C. O’Donnell, Kayvan Roayaie, J. Gage Crump, Wesley B. Grueber, Georgeann S. O’Brien and Mauricio E. Vargas. Their work appears in journals such as Journal of Neuroscience, Journal of Visualized Experiments, Disease Models & Mechanisms, Cell and Current Biology.

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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