Eric D. Petersen

418 citations
11 papers · 269 · h-index 8

Impact in

Papers in

    • bioluminescence and chemiluminescence research 3
    • Pluripotent Stem Cells Research 2
    • Photoreceptor and optogenetics research 5
    • Neuroscience and Neural Engineering 4
    • Neuroscience and Neuropharmacology Research 1

Eric D. Petersen

10 papers receiving 264 citations

Peers

Eric D. Petersen
Comparison fields: 5 of 61
  • Cellular and Molecular Neuroscience 127
  • Behavioral Neuroscience 22
  • Biological Psychiatry 8
  • Developmental Neuroscience 11
  • Molecular Biology 150
Replace Yutong Liu with:
Yutong Liu China
Miranda Robbins United Kingdom
Anita Fletcher United States
Pragya Komal India
Kerri A. Massey United States
Christina Shin United States
Min Jung Kim South Korea
Xinrong Li China
Clara Ortega‐de San Luis Ireland
Eric D. Petersen relative to Yutong Liu China Yutong Liu's profile →
Citations per field
00.5×3.7×
Yutong Liu · 1×
Citations per year

Countries citing papers authored by Eric D. Petersen

Since Specialization
Citations

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

Fields of papers citing papers by Eric D. Petersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric D. Petersen. 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 Eric D. Petersen. The network helps show where Eric D. Petersen may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201775
2 201850
3 201742
4 201835
5 202223
6 202213
7 202313
8 201811
9 20225
10 19812
11 20240

About Eric D. Petersen

Eric D. Petersen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Social Psychology and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 269 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (5 papers), Neuroscience and Neural Engineering (4 papers), bioluminescence and chemiluminescence research (3 papers), Pluripotent Stem Cells Research (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Brain Tumor Detection and Classification (1 paper), Neuroendocrine regulation and behavior (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (127 citations), Behavioral Neuroscience (22 citations), Biological Psychiatry (8 citations), Developmental Neuroscience (11 citations) and Molecular Biology (150 citations). Eric D. Petersen has collaborated with scholars based in United States, Singapore and South Korea. Frequent co-authors include Ute Hochgeschwender, Mansi Prakash, Kenneth A. Jenrow, Douglas R. Swanson, Sang‐Ho Song, George J Augustine, Andrew N. Stewart, Ajit Sharma, Julien Rossignol and Kayla A Johnson. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Behavioral Neuroscience, ACS Synthetic Biology, Frontiers in Neurology and Stem Cells and Development.

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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