Kenji Doering

915 total citations
8 papers, 680 citations indexed

About

Kenji Doering is a scholar working on Biomedical Engineering, Molecular Biology and Ecology. According to data from OpenAlex, Kenji Doering has authored 8 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 5 papers in Molecular Biology and 2 papers in Ecology. Recurrent topics in Kenji Doering's work include Nanopore and Nanochannel Transport Studies (7 papers), RNA Interference and Gene Delivery (3 papers) and Fuel Cells and Related Materials (2 papers). Kenji Doering is often cited by papers focused on Nanopore and Nanochannel Transport Studies (7 papers), RNA Interference and Gene Delivery (3 papers) and Fuel Cells and Related Materials (2 papers). Kenji Doering collaborates with scholars based in United States. Kenji Doering's co-authors include Jens H. Gundlach, Andrew H. Laszlo, Ian M. Derrington, Henry Brinkerhoff, Jonathan M. Craig, Ian C. Nova, Brian C. Ross, Kyle W. Langford, Jenny Mae Samson and Benjamin I. Tickman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and PLoS ONE.

In The Last Decade

Kenji Doering

8 papers receiving 672 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kenji Doering United States	7	477	347	115	104	80	8	680
Zifan Tang United States	17	560 1.2×	338 1.0×	104 0.9×	66 0.6×	13 0.2×	34	733
Gaurav Goyal United States	15	363 0.8×	272 0.8×	73 0.6×	116 1.1×	14 0.2×	25	639
Francisco Feijó Delgado United States	7	265 0.6×	264 0.8×	80 0.7×	11 0.1×	47 0.6×	9	685
Susanne Hage Netherlands	10	280 0.6×	402 1.2×	94 0.8×	47 0.5×	66 0.8×	12	646
Anne R. Kopf-Sill United States	8	383 0.8×	136 0.4×	125 1.1×	75 0.7×	22 0.3×	12	585
Monifa A. Fahie United States	11	329 0.7×	220 0.6×	51 0.4×	89 0.9×	35 0.4×	21	413
Lindsay A. Legendre United States	7	817 1.7×	223 0.6×	142 1.2×	13 0.1×	33 0.4×	13	914
Yanxiao Feng China	4	224 0.5×	169 0.5×	59 0.5×	68 0.7×	38 0.5×	6	367
Yuechuan Zhang China	4	222 0.5×	169 0.5×	58 0.5×	67 0.6×	39 0.5×	7	368
Mohammad M. Mohammad United States	12	299 0.6×	375 1.1×	50 0.4×	44 0.4×	40 0.5×	17	549

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-authorship network of co-authors of Kenji Doering

This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Doering. A scholar is included among the top collaborators of Kenji Doering based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kenji Doering. Kenji Doering is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Brinkerhoff, Henry, Andrew H. Laszlo, Ian M. Derrington, et al.. (2019). Increasing the accuracy of nanopore DNA sequencing using a time-varying cross membrane voltage. Nature Biotechnology. 37(6). 651–656. 91 indexed citations

Craig, Jonathan M., Andrew H. Laszlo, Henry Brinkerhoff, et al.. (2017). Revealing dynamics of helicase translocation on single-stranded DNA using high-resolution nanopore tweezers. Proceedings of the National Academy of Sciences. 114(45). 11932–11937. 52 indexed citations

Nova, Ian C., Ian M. Derrington, Jonathan M. Craig, et al.. (2017). Investigating asymmetric salt profiles for nanopore DNA sequencing with biological porin MspA. PLoS ONE. 12(7). e0181599–e0181599. 24 indexed citations

Craig, Jonathan M., Andrew H. Laszlo, Henry Brinkerhoff, et al.. (2017). Direct Single Molecule Measurement of ATP Hydrolysis Substates in Hel308 DNA Helicase using Nanopore Tweezers. Biophysical Journal. 112(3). 169a–169a. 1 indexed citations

Derrington, Ian M., Jonathan M. Craig, Andrew H. Laszlo, et al.. (2015). Subangstrom single-molecule measurements of motor proteins using a nanopore. Nature Biotechnology. 33(10). 1073–1075. 95 indexed citations

Whidbey, Christopher, Jay Vornhagen, Claire Gendrin, et al.. (2015). A streptococcal lipid toxin induces membrane permeabilization and pyroptosis leading to fetal injury. EMBO Molecular Medicine. 7(4). 488–505. 67 indexed citations

Craig, Jonathan M., Andrew H. Laszlo, Ian M. Derrington, et al.. (2015). Direct Detection of Unnatural DNA Nucleotides dNaM and d5SICS using the MspA Nanopore. PLoS ONE. 10(11). e0143253–e0143253. 25 indexed citations

Laszlo, Andrew H., Ian M. Derrington, Brian C. Ross, et al.. (2014). Decoding long nanopore sequencing reads of natural DNA. Nature Biotechnology. 32(8). 829–833. 325 indexed citations

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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