Chun‐Ti Chen
Impact in
- Parasitology top 1%
- Toxoplasma gondii Research Studies
- Parasitic Infections and Diagnostics
- Virology top 10%
Papers in
- Parasitology 10
- Toxoplasma gondii Research Studies 10
- Parasitic Infections and Diagnostics 2
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- Ubiquitin and proteasome pathways 2
- Signaling Pathways in Disease 1
- Co-authors
- Marc‐Jan Gubbels (10 shared papers)Bradley I. Coleman (2 shared papers)Ira J. Blader (1 shared paper)Maryse Lebrun (3 shared papers)Juliette Morlon‐Guyot (3 shared papers)Wassim Daher (3 shared papers)Laurence Berry (3 shared papers)Markus Meissner (1 shared paper)
- Journals
- Cellular Microbiology (3 papers)Molecular Biology of the Cell (2 papers)Cell Host & Microbe (1 paper)Journal of Cell Science (1 paper)International review of cell and molecular biology (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Chun‐Ti Chen
11 papers receiving 587 citations
Peers
Comparison fields: 5 of 49
- Parasitology 502
- Virology 51
- Epidemiology 330
- Cell Biology 81
- Public Health, Environmental and Occupational Health 97
Countries citing papers authored by Chun‐Ti Chen
This map shows the geographic impact of Chun‐Ti Chen'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 Chun‐Ti Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Ti Chen more than expected).
Fields of papers citing papers by Chun‐Ti Chen
This network shows the impact of papers produced by Chun‐Ti Chen. 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 Chun‐Ti Chen. The network helps show where Chun‐Ti Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun‐Ti Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 195 | |
| 2 | 2012 | 76 | |
| 3 | 2013 | 73 | |
| 4 | 2015 | 66 | |
| 5 | 2013 | 51 | |
| 6 | 2019 | 31 | |
| 7 | 2015 | 30 | |
| 8 | 2016 | 30 | |
| 9 | 2018 | 15 | |
| 10 | 2019 | 14 | |
| 11 | 2004 | 8 |
About Chun‐Ti Chen
Chun‐Ti Chen is a scholar working on Parasitology, Molecular Biology, Epidemiology, Cell Biology and Virology, having authored 11 papers that have together received 589 indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (10 papers), Autophagy in Disease and Therapy (3 papers), Microtubule and mitosis dynamics (3 papers), Parasitic Infections and Diagnostics (2 papers), Ubiquitin and proteasome pathways (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Signaling Pathways in Disease (1 paper) and Rabies epidemiology and control (1 paper). The work is most often cited by research in Parasitology (502 citations), Virology (51 citations), Epidemiology (330 citations), Cell Biology (81 citations) and Public Health, Environmental and Occupational Health (97 citations). Chun‐Ti Chen has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Marc‐Jan Gubbels, Bradley I. Coleman, Ira J. Blader, Maryse Lebrun, Juliette Morlon‐Guyot, Wassim Daher, Laurence Berry, Markus Meissner, Peter J. Bradley and Josh R. Beck. Their work appears in journals such as Cellular Microbiology, Molecular Biology of the Cell, Cell Host & Microbe, Journal of Cell Science and International review of cell and molecular biology.
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.