Pedro A. Lima

694 citations
19 papers · 551 · h-index 11

Impact in

Papers in

    • Ion channel regulation and function 6
    • Nicotinic Acetylcholine Receptors Study 5
    • Pluripotent Stem Cells Research 2
    • Neuroscience and Neuropharmacology Research 9
    • Neuroscience and Neural Engineering 4
    • Photoreceptor and optogenetics research 4

Pedro A. Lima

18 papers receiving 545 citations

Peers

Pedro A. Lima
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 272
  • Molecular Biology 342
  • Biological Psychiatry 12
  • Sensory Systems 23
  • Aquatic Science 33
Replace Hui-Yun Chang with:
Hui-Yun Chang Taiwan
Takafumi Kawai Japan
Mari Itoh Japan
Suvi Vartiainen Finland
Chunguang Zhang United States
Laura Colombaioni Italy
Seizo Masuda Japan
Maria Jäntti Finland
Fouad Lemtiri‐Chlieh United States
Leonardo Vinícius Monteiro de Assis Brazil
Pedro A. Lima relative to Hui-Yun Chang Taiwan Hui-Yun Chang's profile →
Citations per field
00.5×3.7×
Hui-Yun Chang · 1×
Citations per year

Countries citing papers authored by Pedro A. Lima

Since Specialization
Citations

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

Fields of papers citing papers by Pedro A. Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro A. Lima. 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 Pedro A. Lima. The network helps show where Pedro A. Lima may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2000162
2 200762
3 201851
4 200740
5 200336
6 200336
7 201435
8 201635
9 200430
10 201622
11 201611
12 20008
13 20168
14 20107
15 20083
16 20183
17 20251
18 20181
19 20000

About Pedro A. Lima

Pedro A. Lima is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Pharmacology and Cognitive Neuroscience, having authored 19 papers that have together received 551 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Ion channel regulation and function (6 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Neuroscience and Neural Engineering (4 papers), Photoreceptor and optogenetics research (4 papers), Pluripotent Stem Cells Research (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (272 citations), Molecular Biology (342 citations), Biological Psychiatry (12 citations), Sensory Systems (23 citations) and Aquatic Science (33 citations). Pedro A. Lima has collaborated with scholars based in Portugal, United Kingdom and Italy. Frequent co-authors include Federico Dajas‐Bailador, Susan Wonnacott, Neil V. Marrion, David J. Loane, Patrícia Máximo, Luı́sa M. Ferreira, Paula S. Branco, Ana Lourenço, Euan R. Brown and David L. Prole. Their work appears in journals such as European Journal of Neuroscience, Marine Drugs, RSC Advances, Brain Research and Stem Cells Translational Medicine.

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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