Iván E. Alfaro

30 papers receiving 1.8k citations

Peers

Iván E. Alfaro
Comparison fields: 5 of 73
  • Cellular and Molecular Neuroscience 315
  • Developmental Neuroscience 54
  • Cancer Research 213
  • Physiology 289
  • Reproductive Medicine 83
Replace Stefan M. Berger with:
Stefan M. Berger Germany
Maria S. Ioannou Canada
Denise M. Larson United States
Shunsuke Aoki Japan
Leslayann C. Schecterson United States
Denise M. O. Ramirez United States
Dianshuai Gao China
Michael Bidinosti Canada
Jan‐Hermen Dannenberg Netherlands
Andrea Bacon United Kingdom
Iván E. Alfaro relative to Stefan M. Berger Germany Stefan M. Berger's profile →
Citations per field
00.5×2×3×4.3×
Stefan M. Berger · 1×
Citations per year

Countries citing papers authored by Iván E. Alfaro

Since Specialization
Citations

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

Fields of papers citing papers by Iván E. Alfaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iván E. Alfaro. 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 Iván E. Alfaro. The network helps show where Iván E. Alfaro may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014326
2 2007192
3 2009184
4 2010180
5 2012103
6 201398
7 200993
8 201980
9 201270
10 201969
11 201063
12 202055
13 200654
14 200445
15 202027
16 201725
17 201321
18 201718
19 201617
20 201516

About Iván E. Alfaro

Iván E. Alfaro is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Epidemiology, Reproductive Medicine and Neurology, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Autophagy in Disease and Therapy (5 papers), Connexins and lens biology (3 papers), Alzheimer's disease research and treatments (2 papers), Prostate Cancer Treatment and Research (2 papers), Sperm and Testicular Function (2 papers), Pregnancy and preeclampsia studies (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (315 citations), Developmental Neuroscience (54 citations), Cancer Research (213 citations), Physiology (289 citations) and Reproductive Medicine (83 citations). Iván E. Alfaro has collaborated with scholars based in Chile, United States and Australia. Frequent co-authors include Nibaldo C. Inestrosa, Lorena Varela‐Nallar, Juan Alejandro Godoy, Waldo F. Cerpa, Ginny G. Farı́as, Christian Bonansco, Catalina P. Grabowski, Sebastián Bernales, Andrew A. Protter and Felipe G. Serrano. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Molecular Psychiatry, PLoS ONE, Molecular and Cellular Neuroscience and Cells.

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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