Joann Wu

722 citations
11 papers · 560 · h-index 10

Impact in

Papers in

    • RNA Research and Splicing 4
    • Photosynthetic Processes and Mechanisms 2
    • CRISPR and Genetic Engineering 2
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • NF-κB Signaling Pathways 2

Joann Wu

11 papers receiving 555 citations

Peers

Joann Wu
Comparison fields: 5 of 67
  • Aging 36
  • Renewable Energy, Sustainability and the Environment 131
  • Molecular Biology 474
  • Business and International Management 9
  • Cancer Research 61
Replace Wenzhi Jiang with:
Wenzhi Jiang China
Jungeun Kim South Korea
Christophe Dez France
Kazuko H. Nomura Japan
Jakob H. Waterborg United States
Damien Hermand Belgium
Adam T. Watson United Kingdom
Valérie Guyot France
L.H. Tessier France
Markus Heitzer Germany
Joann Wu relative to Wenzhi Jiang China Wenzhi Jiang's profile →
Citations per field
00.5×4.4×
Wenzhi Jiang · 1×
Citations per year

Countries citing papers authored by Joann Wu

Since Specialization
Citations

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

Fields of papers citing papers by Joann Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2007138
2 2007124
3 201884
4 200655
5 200442
6 201237
7 200331
8 201216
9 201216
10 201014
11 20173

About Joann Wu

Joann Wu is a scholar working on Molecular Biology, Cancer Research, Oncology, Aging and Immunology, having authored 11 papers that have together received 560 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), NF-κB Signaling Pathways (2 papers), Algal biology and biofuel production (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Photosynthetic Processes and Mechanisms (2 papers), CRISPR and Genetic Engineering (2 papers), CAR-T cell therapy research (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Aging (36 citations), Renewable Energy, Sustainability and the Environment (131 citations), Molecular Biology (474 citations), Business and International Management (9 citations) and Cancer Research (61 citations). Joann Wu has collaborated with scholars based in United States and Belgium. Frequent co-authors include Andrea L. Manuell, Julia Marín‐Navarro, Stephen P. Mayfield, Kristina Schmidt, Richard D. Kolodner, Yi Chen, Stephen S. Chen, Miller Tran, David Siefker and Gourisankar Ghosh. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Journal of Molecular Biology, Nature Communications and BMC 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.

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