Maya Kaduri

1.3k citations
11 papers · 921 indexed · 1 hit paper · h-index 8

Impact in

Papers in

Maya Kaduri

11 papers receiving 905 citations

Hit Papers

Biocompatibility, biodegradation and excretion of polylactic acid (PLA) in medical implants and theranostic systems 2018 · 635 citations
6352018202620202023200400600

Peers

Maya Kaduri
Comparison fields: 5 of 104
  • Biomaterials 412
  • Process Chemistry and Technology 41
  • Automotive Engineering 126
  • Biomedical Engineering 443
  • Polymers and Plastics 76
Replace Pooja Basnett with:
Pooja Basnett United Kingdom
Wenjin Cui China
Hajar Seyednejad Netherlands
Jorge L. Escobar Ivirico Spain
Hongye Ye Singapore
Marco Santoro United States
Susanna Sartori Italy
Ahmad Rezaei Kolahchi Canada
Bruce E. Kirkpatrick United States
Yuqing Niu China
Maya Kaduri relative to Pooja Basnett United Kingdom Pooja Basnett's profile →
Citations per field
00.5×
Pooja Basnett · 1×
Citations per year

Countries citing papers authored by Maya Kaduri

Since Specialization
Citations

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

Fields of papers citing papers by Maya Kaduri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 20244
2 202240
3 202223
4 202212
5 202137
6 20209
7 20202
8
Biocompatibility, biodegradation and excretion of polylactic acid (PLA) in medical implants and theranostic systems
Hit paper breakdown →
2018635
9 20183
10 2017117
11 201639

About Maya Kaduri

Maya Kaduri is a scholar working on Developmental Neuroscience, Ecology, Biomaterials, Reproductive Medicine and Immunology, having authored 11 papers that have together received 921 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (4 papers), Lipid Membrane Structure and Behavior (3 papers), RNA and protein synthesis mechanisms (3 papers), Nanoparticle-Based Drug Delivery (1 paper), Bone Tissue Engineering Materials (1 paper), Reproductive System and Pregnancy (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Biomaterials (412 citations), Process Chemistry and Technology (41 citations), Automotive Engineering (126 citations), Biomedical Engineering (443 citations) and Polymers and Plastics (76 citations). Maya Kaduri has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Avi Schroeder, Janna Shainsky‐Roitman, Nitzan Krinsky, Omer Adir, Maria Poley, Itai Benhar, Mor Goldfeder, Dov Hershkovitz, Assaf Zinger and Jeny Shklover. Their work appears in journals such as Advanced Healthcare Materials, Journal of Visualized Experiments, Science Advances, ACS Nano and Chemical Engineering Journal.

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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