Helen Schmidt
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- Nuclear Structure and Function
- Genomics and Chromatin Dynamics
Papers in
-
- RNA Research and Splicing 5
- RNA modifications and cancer 2
- CRISPR and Genetic Engineering 2
- Aging 5
- Genetics, Aging, and Longevity in Model Organisms 5
- Co-authors
- Géraldine Seydoux (6 shared papers)Jarrett Smith (4 shared papers)Deepika Calidas (4 shared papers)Alexandre Paix (3 shared papers)Dominique Rasoloson (4 shared papers)Tu Lu (2 shared papers)Bi‐Chang Chen (1 shared paper)Eric Betzig (1 shared paper)
- Journals
- eLife (3 papers)Clinical Infectious Diseases (1 paper)International Journal of Stress Management (1 paper)Genetics (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United StatesTaiwanAustralia
In The Last Decade
Helen Schmidt
11 papers receiving 935 citations
Helen Schmidt's Hit Papers
Peers
Comparison fields: 5 of 85
- Aging 272
- Molecular Biology 776
- Business and International Management 15
- Biochemistry 50
- Cell Biology 79
Countries citing papers authored by Helen Schmidt
This map shows the geographic impact of Helen Schmidt'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 Helen Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen Schmidt more than expected).
Fields of papers citing papers by Helen Schmidt
This network shows the impact of papers produced by Helen Schmidt. 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 Helen Schmidt. The network helps show where Helen Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Helen Schmidt, 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 | Regulation of RNA granule dynamics by phosphorylation of serine-rich, intrinsically disordered proteins in C. elegans Hit paper breakdown → | 2014 | 304 |
| 2 | 2014 | 223 | |
| 3 | 2016 | 176 | |
| 4 | 2010 | 81 | |
| 5 | 2016 | 68 | |
| 6 | 2006 | 40 | |
| 7 | 2013 | 39 | |
| 8 | 2021 | 23 | |
| 9 | 2025 | 1 | |
| 10 | 2017 | 1 | |
| 11 | 2020 | 1 |
About Helen Schmidt
Helen Schmidt is a scholar working on Molecular Biology, Aging, Social Psychology, Genetics and Plant Science, having authored 11 papers that have together received 957 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), RNA Research and Splicing (5 papers), Evolution and Genetic Dynamics (2 papers), RNA modifications and cancer (2 papers), CRISPR and Genetic Engineering (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper), Neurogenetic and Muscular Disorders Research (1 paper) and Memory Processes and Influences (1 paper). The work is most often cited by research in Aging (272 citations), Molecular Biology (776 citations), Business and International Management (15 citations), Biochemistry (50 citations) and Cell Biology (79 citations). Helen Schmidt has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Géraldine Seydoux, Jarrett Smith, Deepika Calidas, Alexandre Paix, Dominique Rasoloson, Tu Lu, Bi‐Chang Chen, Eric Betzig, Bramwell G. Lambrus and Jennifer T. Wang. Their work appears in journals such as eLife, Clinical Infectious Diseases, International Journal of Stress Management, Genetics and The FASEB Journal.
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.