Kelsey Gray

428 citations
4 papers · 300 · 1 hit paper · h-index 2

Impact in

Papers in

    • Bacteriophages and microbial interactions 2
    • Cancer Research and Treatments 2

Kelsey Gray

2 papers receiving 299 citations

Kelsey Gray's Hit Papers

A programmable encapsulation system improves delivery of therapeutic bacteria in mice 2022 · 185 citations
1850+1+2Years since publication50100150

Peers

Kelsey Gray
Comparison fields: 5 of 51
  • Biotechnology 183
  • Biomedical Engineering 158
  • Ecology 58
  • Genetics 55
  • Molecular Biology 106
Replace Kelly Pu with:
Kelly Pu United States
Tetsuhiro Harimoto United States
Dinh-Huy Nguyen South Korea
Tiffany Chien United States
Jongwon Im United States
Rudy Christmas United States
Andrew Redenti United States
J.A. Cano Mexico
Yensi Flores Bueso Ireland
Martha A. Zepeda‐Rivera United States
Kelsey Gray relative to Kelly Pu United States Kelly Pu's profile →
Citations per field
00.5×1.5×
Kelly Pu · 1×
Citations per year

Countries citing papers authored by Kelsey Gray

Since Specialization
Citations

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

Fields of papers citing papers by Kelsey Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Kelsey Gray, 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 Kelsey Gray Line = papers co-authored together Kelsey Gray links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
A programmable encapsulation system improves delivery of therapeutic bacteria in mice
Hit paper breakdown →
2022185
2 2021115
3 20240
4 20240

About Kelsey Gray

Kelsey Gray is a scholar working on Ecology, Biotechnology, Biomedical Engineering, Molecular Biology and Pharmacology, having authored 4 papers that have together received 300 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (2 papers), Cancer Research and Treatments (2 papers), 3D Printing in Biomedical Research (1 paper), Fungal Biology and Applications (1 paper), Polysaccharides and Plant Cell Walls (1 paper), Plant and Biological Electrophysiology Studies (1 paper), Fungal and yeast genetics research (1 paper) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Biotechnology (183 citations), Biomedical Engineering (158 citations), Ecology (58 citations), Genetics (55 citations) and Molecular Biology (106 citations). Kelsey Gray has collaborated with scholars based in United States. Frequent co-authors include Tetsuhiro Harimoto, Nicholas Hou, Tal Danino, Courtney Coker, Kelly Pu, Yuyu Chen, Nicholas Arpaia, Jaeseung Hahn, Fangda Li and Jongwon Im. Their work appears in journals such as Nature Biotechnology, mSphere, Nature Biomedical Engineering and PubMed.

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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