Lilia Levdansky

529 citations
18 papers · 390 indexed · h-index 13

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
  • Urology top 5%
    • Periodontal Regeneration and Treatments

Papers in

Lilia Levdansky

18 papers receiving 381 citations

Peers

Lilia Levdansky
Comparison fields: 5 of 76
  • Genetics 156
  • Urology 71
  • Biomaterials 113
  • Rehabilitation 33
  • Surgery 92
Replace Valentina Parazzi with:
Valentina Parazzi Italy
Karthikeyan Rajagopal India
Sangeetha Kandoi United States
Byong Seung Cho South Korea
Claudia Chávez‐Muñoz Canada
Martin Boháč Slovakia
Keegan Walker United States
Sarika Saraswati United States
Sanga Gehmert Germany
Álvaro Sierra-Sánchez Spain
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Citations per field
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Valentina Parazzi · 1×
Citations per year

Countries citing papers authored by Lilia Levdansky

Since Specialization
Citations

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

Fields of papers citing papers by Lilia Levdansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201823
2 201338
3 20121
4 201227
5 201117
6 20116
7 20109
8 20104
9 200934
10 200821
11 200726
12 200729
13 200711
14 200656
15 200417
16 200323
17 200332
18 199816

About Lilia Levdansky

Lilia Levdansky is a scholar working on Genetics, Rehabilitation, Urology, Biomaterials and Occupational Therapy, having authored 18 papers that have together received 390 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (9 papers), Blood properties and coagulation (4 papers), Wound Healing and Treatments (4 papers), Effects of Radiation Exposure (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Periodontal Regeneration and Treatments (3 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Genetics (156 citations), Urology (71 citations), Biomaterials (113 citations), Rehabilitation (33 citations) and Surgery (92 citations). Lilia Levdansky has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Raphael Gorodetsky, Gerard Marx, Akiva Vexler, Lior Zangi, Ibrahim Kassis, Alon Ben-Ari, Lena Pinzur, Zami Aberman, William H. McBride and Nikolaus C. Netzer. Their work appears in journals such as Journal of Investigative Dermatology, Journal of Biomedical Materials Research Part B Applied Biomaterials, Tissue Engineering Part C Methods, Regenerative Medicine and Tissue Engineering.

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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