Chun‐Ti Chen

1.2k citations
16 papers · 793 · h-index 14

Impact in

    • Toxoplasma gondii Research Studies
    • Parasitic Infections and Diagnostics
    • Microtubule and mitosis dynamics

Papers in

    • Fungal and yeast genetics research 3
    • Ubiquitin and proteasome pathways 2
    • 14-3-3 protein interactions 2
    • DNA Repair Mechanisms 1
    • Toxoplasma gondii Research Studies 10
    • Parasitic Infections and Diagnostics 2

Chun‐Ti Chen

16 papers receiving 790 citations

Peers

Chun‐Ti Chen
Comparison fields: 5 of 59
  • Parasitology 521
  • Cell Biology 227
  • Virology 48
  • Epidemiology 328
  • Molecular Biology 329
Replace Markus Meissner with:
Markus Meissner Germany
Diego Huet United States
Manami Nishi United States
Alexander Lorestani United States
Rajshekhar Y. Gaji United States
Sandeep Ravindran United States
Fabiola Parussini United States
Heidi G. Elmendorf United States
F. Plattner Switzerland
Miryam Andrea Hortua Triana United States
Chun‐Ti Chen relative to Markus Meissner Germany Markus Meissner's profile →
Citations per field
00.5×1.5×2.2×
Markus Meissner · 1×
Citations per year

Countries citing papers authored by Chun‐Ti Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Chun‐Ti Chen Line = papers co-authored together Chun‐Ti Chen links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2015203
2 201277
3 201377
4 201568
5 200866
6 201354
7 201340
8 201933
9 201632
10 201231
11 201531
12 200828
13 201817
14 201915
15 200613
16 20048

About Chun‐Ti Chen

Chun‐Ti Chen is a scholar working on Molecular Biology, Parasitology, Cell Biology, Epidemiology and Plant Science, having authored 16 papers that have together received 793 indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (10 papers), Microtubule and mitosis dynamics (8 papers), Fungal and yeast genetics research (3 papers), Autophagy in Disease and Therapy (3 papers), Ubiquitin and proteasome pathways (2 papers), 14-3-3 protein interactions (2 papers), Parasitic Infections and Diagnostics (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Parasitology (521 citations), Cell Biology (227 citations), Virology (48 citations), Epidemiology (328 citations) and Molecular Biology (329 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, Dannel McCollum, Kathleen L. Gould, Wassim Daher, Juliette Morlon‐Guyot, Laurence Berry, Maryse Lebrun and Anna Feoktistova. Their work appears in journals such as Cellular Microbiology, Molecular Biology of the Cell, Current Biology, Journal of Cell Science and Protein Expression and Purification.

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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