Janet Iwasa
- Structural Biology top 5%
- Cell Biology top 2%
- Cellular transport and secretion 5
- Microtubule and mitosis dynamics 3
- Molecular Biology top 5%
- Genetics, Bioinformatics, and Biomedical Research 7
- Protein Structure and Dynamics 5
- RNA and protein synthesis mechanisms 4
- Genomics and Chromatin Dynamics 3
- Biophysics top 2%
- Cell Image Analysis Techniques 6
- Endocrinology top 10%
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- Enzyme Structure and Function 3
- Co-authors
- Craig L. PetersonCedric R. ClapierBradley R. CairnsR. Dyche MullinsJohannes SchönebergIl‐Hyung LeeJames H. HurleyYi‐Wei Chang
- Partner nations
- United StatesGermanyChina
In The Last Decade
Janet Iwasa
43 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Structural Biology 61
- Cell Biology 550
- Molecular Biology 1.8k
- Biophysics 114
- Endocrinology 55
Countries citing papers authored by Janet Iwasa
This map shows the geographic impact of Janet Iwasa'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 Janet Iwasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet Iwasa more than expected).
Fields of papers citing papers by Janet Iwasa
This network shows the impact of papers produced by Janet Iwasa. 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 Janet Iwasa. The network helps show where Janet Iwasa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Janet Iwasa, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 6 | |
| 6 | The Mediator complex as a master regulator of transcription by RNA polymerase IIbreakdown → | 2022 | 165 |
| 7 | 2022 | 2 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 2 | |
| 10 | 2020 | 2 | |
| 11 | 2020 | 17 | |
| 12 | 2017 | 79 | |
| 13 | Mechanisms of action and regulation of ATP-dependent chromatin-remodelling complexesbreakdown → | 2017 | 821 |
| 14 | 2016 | 288 | |
| 15 | Karp's cell and molecular biology : concepts and experiments | 2016 | 7 |
| 16 | 2015 | 26 | |
| 17 | 2014 | 3 | |
| 18 | 2010 | 27 | |
| 19 | 2001 | 22 | |
| 20 | 2000 | 21 |
About Janet Iwasa
Janet Iwasa is a scholar working on Biophysics, Cell Biology and Molecular Biology, having authored 47 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetics, Bioinformatics, and Biomedical Research (7 papers), Cell Image Analysis Techniques (6 papers), Protein Structure and Dynamics (5 papers), Cellular transport and secretion (5 papers), RNA and protein synthesis mechanisms (4 papers), Microtubule and mitosis dynamics (3 papers), Enzyme Structure and Function (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Structural Biology (61 citations), Cell Biology (550 citations) and Molecular Biology (1.8k citations). Janet Iwasa has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Craig L. Peterson, Cedric R. Clapier, Bradley R. Cairns, R. Dyche Mullins, Johannes Schöneberg, Il‐Hyung Lee, James H. Hurley, Yi‐Wei Chang, Lee A. Rettberg and Grant J. Jensen. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.