Peter Serrano

543 citations
14 papers · 376 · h-index 9

Impact in

Papers in

Peter Serrano

13 papers receiving 371 citations

Peers

Peter Serrano
Comparison fields: 5 of 77
  • Cellular and Molecular Neuroscience 151
  • Neurology 42
  • Cognitive Neuroscience 100
  • Biological Psychiatry 12
  • Behavioral Neuroscience 14
Replace Jens D. Mikkelsen with:
Jens D. Mikkelsen Denmark
Helena Janíčková Czechia
Virginie Labrousse France
Collin B. Merrill United States
Shlomo Sragovich Israel
María Verónica Báez Argentina
Wen‐Chin Huang United States
Victor Sabanov Belgium
Dragana Jančić Spain
Maria Meringolo Italy
Peter Serrano relative to Jens D. Mikkelsen Denmark Jens D. Mikkelsen's profile →
Citations per field
00.5×3.8×
Jens D. Mikkelsen · 1×
Citations per year

Countries citing papers authored by Peter Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Peter Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Peter Serrano, 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 Peter Serrano Line = papers co-authored together Peter Serrano links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1993122
2 201591
3 202239
4 199521
5 201821
6 199521
7 202217
8 199215
9 202213
10 19958
11 20246
12 20161
13 20141
14 20250

About Peter Serrano

Peter Serrano is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Cognitive Neuroscience and Physiology, having authored 14 papers that have together received 376 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Alzheimer's disease research and treatments (3 papers), Neuropeptides and Animal Physiology (3 papers), Memory and Neural Mechanisms (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (151 citations), Neurology (42 citations), Cognitive Neuroscience (100 citations), Biological Psychiatry (12 citations) and Behavioral Neuroscience (14 citations). Peter Serrano has collaborated with scholars based in United States. Frequent co-authors include Edward L. Bennett, Mark R. Rosenzweig, Patricia Rockwell, Maria E. Figueiredo‐Pereira, Diane W. Lee, Paul J. Colombo, T. Schmidt‐Glenewinkel, Lei Xie, Charles H. Wallace and Yue Qiu. Their work appears in journals such as Scientific Reports, Pharmacology Biochemistry and Behavior, Behavioral Neuroscience, Journal of Neuroinflammation and Neurology.

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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