Eric M. Peterson

611 citations
31 papers · 515 · h-index 15

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 12
    • DNA and Nucleic Acid Chemistry 6
    • RNA Interference and Gene Delivery 5
    • Advanced Biosensing Techniques and Applications 4
    • Lipid Membrane Structure and Behavior 4

Eric M. Peterson

29 papers receiving 506 citations

Peers

Eric M. Peterson
Comparison fields: 5 of 87
  • Biophysics 90
  • Surfaces, Coatings and Films 39
  • Biomedical Engineering 215
  • Structural Biology 7
  • Molecular Biology 289
Replace Hongwei Gai with:
Hongwei Gai China
Rodolphe Jaffiol France
Jiarui Xia China
Christiane Höppener Germany
Melissa Massey Canada
Eva Sunnick Germany
Céline Mayet France
Jun Hee Yoon South Korea
Ji Ji China
Khanh‐Hoa Tran‐Ba United States
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Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Eric M. Peterson

Since Specialization
Citations

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

Fields of papers citing papers by Eric M. Peterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201552
2 201347
3 200940
4 201435
5 201735
6 201834
7 201533
8 201227
9 200727
10 201622
11 201819
12 202118
13 201015
14 201114
15 201914
16 202013
17 201311
18 202110
19 20219
20 20198

About Eric M. Peterson

Eric M. Peterson is a scholar working on Molecular Biology, Biomedical Engineering, Biophysics, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 31 papers that have together received 515 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (12 papers), Advanced Fluorescence Microscopy Techniques (7 papers), DNA and Nucleic Acid Chemistry (6 papers), RNA Interference and Gene Delivery (5 papers), Risk and Safety Analysis (4 papers), Advanced Biosensing Techniques and Applications (4 papers), Lipid Membrane Structure and Behavior (4 papers) and Gold and Silver Nanoparticles Synthesis and Applications (4 papers). The work is most often cited by research in Biophysics (90 citations), Surfaces, Coatings and Films (39 citations), Biomedical Engineering (215 citations), Structural Biology (7 citations) and Molecular Biology (289 citations). Eric M. Peterson has collaborated with scholars based in United States, Ukraine and Germany. Frequent co-authors include Joel M. Harris, Jennifer M. Heemstra, Steve Blair, Hershel H. Lackey, Xiaojin Jiao, Yunshan Wang, Sivaraman Guruswamy, Christopher B. Fox, Rashad R. Karimov and Jiyuan Yang. Their work appears in journals such as Analytical Chemistry, ACS Synthetic Biology, Langmuir, The Journal of Physical Chemistry B and Journal of Electroanalytical Chemistry.

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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