Kenji Doering

1.1k citations
13 papers · 776 · h-index 10

Impact in

    • Nanopore and Nanochannel Transport Studies
    • Microfluidic and Capillary Electrophoresis Applications
    • Membrane-based Ion Separation Techniques
    • Advanced biosensing and bioanalysis techniques
    • RNA modifications and cancer

Papers in

Kenji Doering

13 papers receiving 767 citations

Peers

Kenji Doering
Comparison fields: 5 of 85
  • Biomedical Engineering 488
  • Molecular Biology 345
  • Computational Mechanics 104
  • Structural Biology 7
  • Water Science and Technology 56
Replace Talukder Z. Jubery with:
Talukder Z. Jubery United States
Toshiyuki Hatano Japan
Gastón L. Miño Argentina
Anne R. Kopf-Sill United States
Nikolaos V. Mantzaris United States
John C. C. Day United Kingdom
J. Dockery United States
Horacio Kido United States
Pahala Gedara Jayathilake United Kingdom
Jonathan M. Craig United States
Kenji Doering relative to Talukder Z. Jubery United States Talukder Z. Jubery's profile →
Citations per field
00.5×9.3×
Talukder Z. Jubery · 1×
Citations per year

Countries citing papers authored by Kenji Doering

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Doering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2014330
2 201598
3 201994
4 201568
5 201754
6 202040
7 201527
8 201724
9 202117
10 202111
11 20187
12 20235
13 20171

About Kenji Doering

Kenji Doering is a scholar working on Biomedical Engineering, Molecular Biology, Electrical and Electronic Engineering, Global and Planetary Change and Ecology, having authored 13 papers that have together received 776 indexed citations. Recurring topics across this work include Nanopore and Nanochannel Transport Studies (7 papers), RNA Interference and Gene Delivery (3 papers), Water resources management and optimization (2 papers), Flood Risk Assessment and Management (2 papers), Fuel Cells and Related Materials (2 papers), Bacteriophages and microbial interactions (2 papers), RNA modifications and cancer (2 papers) and Meteorological Phenomena and Simulations (1 paper). The work is most often cited by research in Biomedical Engineering (488 citations), Molecular Biology (345 citations), Computational Mechanics (104 citations), Structural Biology (7 citations) and Water Science and Technology (56 citations). Kenji Doering has collaborated with scholars based in United States. Frequent co-authors include Jens H. Gundlach, Ian M. Derrington, Andrew H. Laszlo, Henry Brinkerhoff, Ian C. Nova, Jonathan M. Craig, Brian C. Ross, Kyle W. Langford, Jenny Mae Samson and Benjamin I. Tickman. Their work appears in journals such as Nature Biotechnology, PLoS ONE, Journal of Water Resources Planning and Management, Applied Energy and Water Resources Research.

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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