Yana Shafran

625 total citations
33 papers, 517 citations indexed

About

Yana Shafran is a scholar working on Molecular Biology, Biomedical Engineering and Immunology. According to data from OpenAlex, Yana Shafran has authored 33 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Biomedical Engineering and 8 papers in Immunology. Recurrent topics in Yana Shafran's work include 3D Printing in Biomedical Research (8 papers), Cancer Cells and Metastasis (6 papers) and Microfluidic and Bio-sensing Technologies (5 papers). Yana Shafran is often cited by papers focused on 3D Printing in Biomedical Research (8 papers), Cancer Cells and Metastasis (6 papers) and Microfluidic and Bio-sensing Technologies (5 papers). Yana Shafran collaborates with scholars based in Israel, Germany and United States. Yana Shafran's co-authors include Naomi Zurgil, Elena Afrimzon, Mordechai Deutsch, Assaf Deutsch, Mordechai Deutsch, Maria Sobolev, Dror Fixler, Orian S. Shirihai, Steffen Howitz and Judith Sandbank and has published in prestigious journals such as Biomaterials, Analytical Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Yana Shafran

33 papers receiving 496 citations

Peers

Yana Shafran
Comparison fields: 5 of 100
  • Biomedical Engineering 235
  • Molecular Biology 206
  • Oncology 72
  • Biophysics 51
  • Immunology 45
Replace Elena Afrimzon with:
Elena Afrimzon Israel
Mordechai Deutsch Israel
Nadezhda Ignatova Russia
Shurong Hou United States
Mordechai Deutsch Israel
Haw‐Young Kwon South Korea
Chun‐Chao Wang Taiwan
Yo Sup Moon United States
Yong‐Jun Kwon South Korea
Helen Yu Denmark
Elena Afrimzon Israel View profile →
Citations per field, relative to Yana Shafran
Yana Shafran · 1×
Citations per year, relative to Yana Shafran
Yana Shafran · 1×

Countries citing papers authored by Yana Shafran

Since Specialization
Citations

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

Fields of papers citing papers by Yana Shafran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yana Shafran

This figure shows the co-authorship network connecting the top 25 collaborators of Yana Shafran. A scholar is included among the top collaborators of Yana Shafran 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 Yana Shafran. Yana Shafran 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
# Work Indexed citations
1 1
2 6
3 2
4 69
5 8
6 23
7 9
8 2
9 28
10 13
11 89
12 6
13 13
14 30
15 20
16 18
17 5
18 35
19 19
20 8

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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