Tiffany Chien

409 total citations
4 papers, 190 citations indexed

About

Tiffany Chien is a scholar working on Ecology, Biotechnology and Biomedical Engineering. According to data from OpenAlex, Tiffany Chien has authored 4 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Ecology, 2 papers in Biotechnology and 2 papers in Biomedical Engineering. Recurrent topics in Tiffany Chien's work include 3D Printing in Biomedical Research (2 papers), Cancer Research and Treatments (2 papers) and Bacteriophages and microbial interactions (2 papers). Tiffany Chien is often cited by papers focused on 3D Printing in Biomedical Research (2 papers), Cancer Research and Treatments (2 papers) and Bacteriophages and microbial interactions (2 papers). Tiffany Chien collaborates with scholars based in United States. Tiffany Chien's co-authors include Tal Danino, Kelly Pu, Tetsuhiro Harimoto, Martina Pavlicová, Courtney Coker, Nicholas Hou, Kwan‐Ki Hwang, Drew R. Jones, Benny J. Chen and Mary H. Foster and has published in prestigious journals such as Nature Biomedical Engineering, Journal of Translational Medicine and ACS Synthetic Biology.

In The Last Decade

Tiffany Chien

4 papers receiving 189 citations

Peers

Tiffany Chien
Comparison fields: 5 of 48
  • Biotechnology 117
  • Biomedical Engineering 94
  • Molecular Biology 77
  • Ecology 43
  • Genetics 39
Replace M. Lourdes Velez‐Suberbie with:
M. Lourdes Velez‐Suberbie United Kingdom
Eileena F. Giurini United States
Max Z. Levine United States
Kristian Daniel Ralph Roth Germany
Stephan Steinke Germany
Olotu W. Ogonah United Kingdom
Matthew Hirano United States
Christophe Georger France
Gregg Nyberg United States
Nora Langreder Germany
M. Lourdes Velez‐Suberbie United Kingdom View profile →
Citations per field, relative to Tiffany Chien
Tiffany Chien · 1×
Citations per year, relative to Tiffany Chien
Tiffany Chien · 1×

Countries citing papers authored by Tiffany Chien

Since Specialization
Citations

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

Fields of papers citing papers by Tiffany Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiffany Chien

This figure shows the co-authorship network connecting the top 25 collaborators of Tiffany Chien. A scholar is included among the top collaborators of Tiffany Chien 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 Tiffany Chien. Tiffany Chien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
# Work Indexed citations
1 106
2 3
3 76
4 5

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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2026