Joan Chen
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- RNA and protein synthesis mechanisms 3
- Molecular Biology Techniques and Applications 2
- Genomics and Phylogenetic Studies 2
- PI3K/AKT/mTOR signaling in cancer 2
- RNA modifications and cancer 2
- CRISPR and Genetic Engineering 2
-
- Cancer Genomics and Diagnostics 3
- Breast Cancer Treatment Studies 2
- Co-authors
- Ian T. Paulsen (2 shared papers)Milton H. Saier (1 shared paper)William Nelson (1 shared paper)Daniel Johnson (1 shared paper)Katherine Phillippy (1 shared paper)Qinghu Ren (1 shared paper)Sasha G. Tetu (1 shared paper)John C. Obenauer (2 shared papers)
- Journals
- Cancer Research (5 papers)Disease Markers (1 paper)Molecular Cancer Therapeutics (1 paper)The Journal of Immunology (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Joan Chen
16 papers receiving 283 citations
Peers
Comparison fields: 5 of 67
- Molecular Medicine 65
- Endocrinology 14
- Oncology 62
- Molecular Biology 137
- Cancer Research 26
Countries citing papers authored by Joan Chen
This map shows the geographic impact of Joan 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 Joan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Chen more than expected).
Fields of papers citing papers by Joan Chen
This network shows the impact of papers produced by Joan 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 Joan Chen. The network helps show where Joan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Joan 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 | Comparative genomics of microbial drug efflux systems. | 2001 | 114 |
| 2 | 2008 | 57 | |
| 3 | 2008 | 31 | |
| 4 | 2019 | 25 | |
| 5 | 2021 | 24 | |
| 6 | 2018 | 14 | |
| 7 | 2019 | 5 | |
| 8 | 2018 | 4 | |
| 9 | 2009 | 3 | |
| 10 | 2019 | 3 | |
| 11 | 2017 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2021 | 1 | |
| 17 | A preliminary look at the acquisition of aspect in Mandarin Chinese in Optimality Theory | 2001 | 1 |
About Joan Chen
Joan Chen is a scholar working on Molecular Biology, Cancer Research, Immunology, Organic Chemistry and Pharmacology, having authored 17 papers that have together received 294 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), RNA and protein synthesis mechanisms (3 papers), Breast Cancer Treatment Studies (2 papers), Molecular Biology Techniques and Applications (2 papers), Genomics and Phylogenetic Studies (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), RNA modifications and cancer (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Molecular Medicine (65 citations), Endocrinology (14 citations), Oncology (62 citations), Molecular Biology (137 citations) and Cancer Research (26 citations). Joan Chen has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Ian T. Paulsen, Milton H. Saier, William Nelson, Daniel Johnson, Katherine Phillippy, Qinghu Ren, Sasha G. Tetu, John C. Obenauer, Edward C. Goodwin and Marcia V. Fournier. Their work appears in journals such as Cancer Research, Disease Markers, Molecular Cancer Therapeutics, The Journal of Immunology and Bioorganic & Medicinal Chemistry Letters.
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.