Joanna Chen

943 citations
13 papers · 416 · h-index 6

Impact in

Papers in

    • CRISPR and Genetic Engineering 2
    • RNA and protein synthesis mechanisms 2
    • Kruppel-like factors research 1
    • Wnt/β-catenin signaling in development and cancer 1
    • Eating Disorders and Behaviors 2

Joanna Chen

11 papers receiving 409 citations

Peers

Joanna Chen
Comparison fields: 5 of 82
  • Cell Biology 76
  • Aging 8
  • Molecular Biology 301
  • Oncology 42
  • Cancer Research 21
Replace Mukul Girotra with:
Mukul Girotra Switzerland
Lauriane Cabon France
Xiaoguang Li United States
Azusa Inagaki Japan
Pavla Vašicová Czechia
Sébastien Degot France
Eugenia Y. Xu United States
Christopher D. Heger United States
Michal Galdzicki United States
Rakefet Ben-Yishay Israel
Joanna Chen relative to Mukul Girotra Switzerland Mukul Girotra's profile →
Citations per field
00.5×3.9×
Mukul Girotra · 1×
Citations per year

Countries citing papers authored by Joanna Chen

Since Specialization
Citations

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

Fields of papers citing papers by Joanna Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Joanna 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 Joanna Chen Line = papers co-authored together Joanna Chen links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2009167
2 201292
3 200865
4 201247
5
Bermuda - An Architectural Perspective on Interfacing Prolog to a Database Machine.
198818
6 201211
7 20234
8 20224
9 20213
10 20203
11 20241
12 20201
13 20240

About Joanna Chen

Joanna Chen is a scholar working on Molecular Biology, Clinical Psychology, Oncology, Economics and Econometrics and Surgery, having authored 13 papers that have together received 416 indexed citations. Recurring topics across this work include Economic and Financial Impacts of Cancer (2 papers), Eating Disorders and Behaviors (2 papers), CRISPR and Genetic Engineering (2 papers), RNA and protein synthesis mechanisms (2 papers), Kruppel-like factors research (1 paper), Cell Image Analysis Techniques (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Behavioral Health and Interventions (1 paper). The work is most often cited by research in Cell Biology (76 citations), Aging (8 citations), Molecular Biology (301 citations), Oncology (42 citations) and Cancer Research (21 citations). Joanna Chen has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Esther M. Verheyen, Timothy S. Ham, Jay D. Keasling, Nathan J. Hillson, Douglas Densmore, Tohru Ishitani, Sharan Swarup, Wendy Lee, Tetsuya S. Tanaka and Jie Chen. Their work appears in journals such as Journal of Biological Engineering, Biological Psychiatry, JCO Oncology Practice, Current Biology and Journal of Clinical Oncology.

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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