Dina Polyak

846 citations
21 papers · 687 · h-index 11

Impact in

Papers in

    • RNA Interference and Gene Delivery 8
    • Advanced biosensing and bioanalysis techniques 6
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Nanoplatforms for cancer theranostics 6

Dina Polyak

20 papers receiving 678 citations

Peers

Dina Polyak
Comparison fields: 5 of 95
  • Biomaterials 302
  • Pharmaceutical Science 61
  • Polymers and Plastics 73
  • Oncology 121
  • Biomedical Engineering 204
Replace Ela Markovsky with:
Ela Markovsky Israel
David A. Eavarone United States
Iriny Ekladious United States
Alessio Malfanti Italy
Roun Heo South Korea
Bryan Hoang Canada
Fabiana Canal Spain
Kin Man Au United States
Margit M. Janát‐Amsbury United States
Dina Polyak relative to Ela Markovsky Israel Ela Markovsky's profile →
Citations per field
00.5×1.5×
Ela Markovsky · 1×
Citations per year

Countries citing papers authored by Dina Polyak

Since Specialization
Citations

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

Fields of papers citing papers by Dina Polyak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011245
2 201395
3 201177
4 201375
5 201535
6 201627
7 202120
8 201018
9 201318
10 201717
11 201615
12 201610
13 20188
14
Meaning of fiction in formation of students` identity
20187
15 20107
16 20196
17 20224
18 20231
19 20191
20 20221

About Dina Polyak

Dina Polyak is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Biomaterials and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 687 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (8 papers), Nanoparticle-Based Drug Delivery (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), Nanoplatforms for cancer theranostics (6 papers), CAR-T cell therapy research (4 papers), Lung Cancer Diagnosis and Treatment (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Biomaterials (302 citations), Pharmaceutical Science (61 citations), Polymers and Plastics (73 citations), Oncology (121 citations) and Biomedical Engineering (204 citations). Dina Polyak has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Ronit Satchi‐Fainaro, Anat Eldar‐Boock, Anna Scomparin, Hemda Baabur‐Cohen, Paula Ofek, Galia Tiram, Shiran Ferber, Ela Markovsky, Keren Miller and Yuval Shaked. Their work appears in journals such as Polymers for Advanced Technologies, Cancer Research, Journal of Controlled Release, Bioconjugate Chemistry and Neuro-Oncology.

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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