Anna Gutkin

11 papers receiving 737 citations

Anna Gutkin's Hit Papers

CRISPR-Cas9 genome editing using targeted lipid nanoparticles for cancer therapy 2020 · 430 citations
4300+2+4Years since publication100200300400

Peers

Anna Gutkin
Comparison fields: 5 of 68
  • Business and International Management 22
  • Cancer Research 149
  • Molecular Biology 628
  • Biomaterials 101
  • Aging 11
Replace Xuewei Zhao with:
Xuewei Zhao United States
Jing Gong United States
Xiandi Meng China
Eriya Kenjo Japan
Mu‐Nung Hsu Taiwan
Wenxin Cai China
Mehmet Fatih Bolukbasi United States
Minkoo Seo South Korea
David A. Nelles United States
Jonathan Yen United States
Anna Gutkin relative to Xuewei Zhao United States Xuewei Zhao's profile →
Citations per field
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Xuewei Zhao · 1×
Citations per year

Countries citing papers authored by Anna Gutkin

Since Specialization
Citations

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

Fields of papers citing papers by Anna Gutkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
CRISPR-Cas9 genome editing using targeted lipid nanoparticles for cancer therapy
Hit paper breakdown →
2020430
2 2016104
3 201748
4 201648
5 202046
6 202141
7 201816
8 20254
9 20233
10
[EXOSOMES AS MEDIATORS OF INTERCELLULAR COMMUNICATION: THE CANCER AND TELOMERASE CONNECTION].
20173
11 20171

About Anna Gutkin

Anna Gutkin is a scholar working on Molecular Biology, Biomedical Engineering, Biomaterials, Public Health, Environmental and Occupational Health and Physiology, having authored 11 papers that have together received 744 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), RNA Interference and Gene Delivery (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), Mosquito-borne diseases and control (2 papers), Nanoparticle-Based Drug Delivery (2 papers), CRISPR and Genetic Engineering (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and Innovation and Socioeconomic Development (1 paper). The work is most often cited by research in Business and International Management (22 citations), Cancer Research (149 citations), Molecular Biology (628 citations), Biomaterials (101 citations) and Aging (11 citations). Anna Gutkin has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Dan Peer, Zvi R. Cohen, Daniel Rosenblum, Nuphar Veiga, Srinivas Ramishetti, Ranit Kedmi, Mollie S. Schubert, Dinorah Friedmann‐Morvinski, Mark A. Behlke and Judy Lieberman. Their work appears in journals such as Journal of Controlled Release, Expert Opinion on Drug Delivery, British Journal of Cancer, Oncotarget and Science Advances.

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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