Steven Ripp

4.2k citations
116 papers · 3.1k · h-index 32

Impact in

  • Biophysics top 1%
    • Cell Image Analysis Techniques
  • Pollution top 2%
    • Microbial bioremediation and biosurfactants

Papers in

    • bioluminescence and chemiluminescence research 83
    • Gene Regulatory Network Analysis 12
    • Biosensors and Analytical Detection 15
    • 3D Printing in Biomedical Research 15
    • Advanced Chemical Sensor Technologies 12
    • Molecular Communication and Nanonetworks 10

Steven Ripp

112 papers receiving 3.0k citations

Peers

Steven Ripp
Comparison fields: 5 of 129
  • Biophysics 313
  • Pollution 501
  • Ecology 775
  • Molecular Biology 1.8k
  • Biomedical Engineering 1.0k
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Steven Ripp relative to Bruce Applegate United States Bruce Applegate's profile →
Citations per field
00.5×1.5×
Bruce Applegate · 1×
Citations per year

Countries citing papers authored by Steven Ripp

Since Specialization
Citations

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

Fields of papers citing papers by Steven Ripp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000306
2 2010160
3 2000160
4 2005125
5 2010104
6 1998102
7 1997101
8 201095
9 200287
10 201173
11 201669
12 201268
13 201267
14 200961
15 200360
16 199859
17 199455
18 199853
19 200852
20 200151

About Steven Ripp

Steven Ripp is a scholar working on Molecular Biology, Biomedical Engineering, Biophysics, Ecology and Health, Toxicology and Mutagenesis, having authored 116 papers that have together received 3.1k indexed citations. Recurring topics across this work include bioluminescence and chemiluminescence research (83 papers), Cell Image Analysis Techniques (27 papers), Bacteriophages and microbial interactions (19 papers), Biosensors and Analytical Detection (15 papers), 3D Printing in Biomedical Research (15 papers), Gene Regulatory Network Analysis (12 papers), Advanced Chemical Sensor Technologies (12 papers) and Molecular Communication and Nanonetworks (10 papers). The work is most often cited by research in Biophysics (313 citations), Pollution (501 citations), Ecology (775 citations), Molecular Biology (1.8k citations) and Biomedical Engineering (1.0k citations). Steven Ripp has collaborated with scholars based in United States, Czechia and China. Frequent co-authors include Gary S. Sayler, Dan Close, Robert V. Miller, Tingting Xu, Abby E. Smartt, David E. Nivens, Michael L. Simpson, Stacey S. Patterson, Patricia Jegier and Claudia L. Werner. Their work appears in journals such as Sensors, Journal of Industrial Microbiology & Biotechnology, Analytical and Bioanalytical Chemistry, Sensors and Actuators B Chemical and Applied and Environmental Microbiology.

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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