Enos C. Kline

734 citations
16 papers · 632 · h-index 11

Impact in

    • Biosensors and Analytical Detection
    • Microfluidic and Capillary Electrophoresis Applications
    • MicroRNA in disease regulation
    • Breast Cancer Treatment Studies

Papers in

Enos C. Kline

15 papers receiving 625 citations

Peers

Enos C. Kline
Comparison fields: 5 of 61
  • Biomedical Engineering 292
  • Cancer Research 100
  • Infectious Diseases 71
  • Oncology 56
  • Molecular Biology 144
Replace Lizhong Dai with:
Lizhong Dai China
Deepanjan Paul India
Paul E. Cizdziel Japan
Laura K. Miotke United States
He Zhou China
Yangyi Zhang China
T Miyagi Japan
Michelle F. Maritz Australia
Hervé Nozach France
Johannes Eimer Sweden
Enos C. Kline relative to Lizhong Dai China Lizhong Dai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Enos C. Kline

Since Specialization
Citations

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

Fields of papers citing papers by Enos C. Kline

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Enos C. Kline. 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 Enos C. Kline. The network helps show where Enos C. Kline may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2016152
2 2012115
3 201585
4 201464
5 202150
6 201637
7 202034
8 201926
9 201722
10 202216
11 202112
12 20216
13 20236
14 20245
15 20252
16 20250

About Enos C. Kline

Enos C. Kline is a scholar working on Infectious Diseases, Biomedical Engineering, Cancer Research, Ecology and Molecular Biology, having authored 16 papers that have together received 632 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (6 papers), SARS-CoV-2 detection and testing (3 papers), RNA Research and Splicing (2 papers), Bacteriophages and microbial interactions (1 paper), HIV/AIDS Research and Interventions (1 paper), Estrogen and related hormone effects (1 paper), Influenza Virus Research Studies (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Biomedical Engineering (292 citations), Cancer Research (100 citations), Infectious Diseases (71 citations), Oncology (56 citations) and Molecular Biology (144 citations). Enos C. Kline has collaborated with scholars based in United States, Taiwan and France. Frequent co-authors include Peter Kabos, Barry R. Lutz, Paul Yager, Jay R. Hesselberth, Tomomi M. Yamamoto, Austin E. Gillen, Yevgeniy S. Belousov, Walter C. Mahoney, Bhushan J. Toley and Joshua R. Buser. Their work appears in journals such as Analytical Chemistry, The Analyst, Breast Cancer Research and Treatment, Molecular Cancer Research and Microbiology Spectrum.

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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