Dmitry Shvartsman

3.4k citations
21 papers · 2.8k indexed · 1 hit paper · h-index 17
Topics
Caveolin-1 and cellular processes (4 papers)Mesenchymal stem cell research (3 papers)Tissue Engineering and Regenerative Medicine (3 papers)
Partner nations
United StatesIsraelItaly

In The Last Decade

Dmitry Shvartsman

21 papers receiving 2.8k citations

Hit Papers

Harnessing traction-mediated manipulation of the cell/mat...201020262015202020104008001.2k

Peers

Dmitry Shvartsman
Comparison fields: 5 of 114
  • Biomedical Engineering 1.3k
  • Molecular Biology 979
  • Cell Biology 768
  • Surgery 729
  • Biomaterials 667
Replace Daniela Loessner with:
Daniela Loessner Australia
Ruei‐Zeng Lin United States
Adrian Ranga Belgium
Penney M. Gilbert Canada
Bo Ri Seo United States
Brett C. Isenberg United States
Kaustabh Ghosh United States
Roland Kaunas United States
Edward A. Phelps United States
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Dmitry Shvartsman relative to Daniela Loessner Australia Daniela Loessner's profile →
Citations per field
00.5×1.7×
Daniela Loessner · 1×
Citations per year

Countries citing papers authored by Dmitry Shvartsman

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Shvartsman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitry Shvartsman

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Shvartsman. A scholar is included among the top collaborators of Dmitry Shvartsman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dmitry Shvartsman. Dmitry Shvartsman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 97
4 30
5 44
6 78
7 128
8 50
9 56
10 2
11 109
12
Harnessing traction-mediated manipulation of the cell/matrix interface to control stem-cell fatebreakdown →
1294
13 120
14 342
15 50
16 50
17 61
18 60
19 93
20 105

About Dmitry Shvartsman

Dmitry Shvartsman is a scholar working on Immunology and Allergy, Cell Biology and Genetics, having authored 21 papers that have together received 2.8k indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (4 papers), Mesenchymal stem cell research (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Biomaterials (667 citations), Cell Biology (768 citations) and Molecular Medicine (229 citations). Dmitry Shvartsman has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include David Mooney, Omar A. Ali, Sidi A. Bencherif, Angelo S. Mao, José Rivera‐Feliciano, Praveen Arany, Nathaniel Huebsch, Yoav I. Henis, Herman H. Vandenburgh and Christine A. Cezar. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Materials.

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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