Kyle Jensen

1.6k citations
26 papers · 852 · h-index 12

Impact in

Papers in

    • RNA and protein synthesis mechanisms 3
    • Genomics and Chromatin Dynamics 2
    • Microbial Metabolic Engineering and Bioproduction 2
    • Catalysis for Biomass Conversion 2

Kyle Jensen

21 papers receiving 800 citations

Peers

Kyle Jensen
Comparison fields: 5 of 145
  • Health Informatics 59
  • Microbiology 153
  • Management of Technology and Innovation 86
  • Safety Research 91
  • Molecular Biology 413
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Alex M. Clark United States
Marcus Olivecrona Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Kyle Jensen

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Jensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006200
2 2006192
3 2005114
4 2012107
5 199560
6 200549
7 199722
8 199119
9
An extension and novel solution to the (l,d)-motif challenge problem.
200416
10 201115
11 200615
12 201111
13 20229
14 20228
15 20004
16 20052
17 20232
18
Machine Learning Approaches to Modeling the Physiochemical Properties of Small Peptides
20062
19 20231
20 20071

About Kyle Jensen

Kyle Jensen is a scholar working on Molecular Biology, Biomedical Engineering, Immunology, Nuclear and High Energy Physics and Hematology, having authored 26 papers that have together received 852 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Acute Myeloid Leukemia Research (3 papers), RNA and protein synthesis mechanisms (3 papers), Analytical Chemistry and Chromatography (2 papers), Catalysis for Biomass Conversion (2 papers), Genomics and Chromatin Dynamics (2 papers), CAR-T cell therapy research (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Health Informatics (59 citations), Microbiology (153 citations), Management of Technology and Innovation (86 citations), Safety Research (91 citations) and Molecular Biology (413 citations). Kyle Jensen has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Gregory Stephanopoulos, Isidore Rigoutsos, Fiona Murray, Mark P. Styczynski, Christopher Loose, Jeffrey L. Furman, Fiona Murray, Ravindra Datta, Joel F. Moxley and Jason L. Walther. Their work appears in journals such as Analytical Chemistry, Industrial & Engineering Chemistry Research, AIChE Journal, Blood and Scientific Reports.

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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