Galit Pelled

1.6k citations
53 papers · 1.2k · h-index 21

Impact in

  • Neurology top 5%
    • Transcranial Magnetic Stimulation Studies
    • Neuroscience and Neural Engineering
    • Neuroscience and Neuropharmacology Research
    • Photoreceptor and optogenetics research

Papers in

Galit Pelled

53 papers receiving 1.2k citations

Peers

Galit Pelled
Comparison fields: 5 of 91
  • Neurology 251
  • Cellular and Molecular Neuroscience 470
  • Cognitive Neuroscience 312
  • Neurology 186
  • Biophysics 74
Replace Tomokazu Sato with:
Tomokazu Sato United States
Davide Boido France
Gerd Rosner Germany
Ikuhiro Kida Japan
Keiji Matsuda Japan
Noriyuki Higo Japan
Sophie Laffray France
Rachel M. Sherrard France
Robert C. Hurt United States
Esther Sydekum Switzerland
Galit Pelled relative to Tomokazu Sato United States Tomokazu Sato's profile →
Citations per field
00.5×1.5×2.2×
Tomokazu Sato · 1×
Citations per year

Countries citing papers authored by Galit Pelled

Since Specialization
Citations

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

Fields of papers citing papers by Galit Pelled

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201398
2 200387
3 200768
4 200765
5 200962
6 201759
7 201154
8 201252
9 201549
10 200248
11 200747
12 201341
13 200840
14 202038
15 200436
16 201835
17 201930
18 201830
19 202028
20 201423

About Galit Pelled

Galit Pelled is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology and Neurology, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (14 papers), Neuroscience and Neural Engineering (13 papers), Neural dynamics and brain function (12 papers), Transcranial Magnetic Stimulation Studies (11 papers), Advanced MRI Techniques and Applications (10 papers), Functional Brain Connectivity Studies (9 papers), Neuroscience and Neuropharmacology Research (6 papers) and Electromagnetic Fields and Biological Effects (5 papers). The work is most often cited by research in Neurology (251 citations), Cellular and Molecular Neuroscience (470 citations), Cognitive Neuroscience (312 citations), Neurology (186 citations) and Biophysics (74 citations). Galit Pelled has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Gadi Goelman, Alan P. Koretsky, Pablo Celnik, Hagai Bergman, Assaf A. Gilad, Kai‐Hsiang Chuang, Stephen Dodd, Nan Li, Yan Jouroukhin and Courtney Robertson. Their work appears in journals such as NeuroImage, PLoS ONE, Magnetic Resonance in Medicine, Scientific Reports and Frontiers in Neuroscience.

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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