Rachel Quaden
- Genetics top 10%
- Clinical Psychology top 10%
- Molecular Biology
- Geriatrics and Gerontology top 5%
- Physiology
- Co-authors
- John ConcatoJoel GelernterMihaela AslanKelly HarringtonRenato PolimantiDaniel F. LeveyKrishnan RadhakrishnanHang Zhou
- Topics
- Birth, Development, and Health (5 papers)Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers)Cardiovascular Health and Risk Factors (4 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Rachel Quaden
16 papers receiving 712 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Genetics 184
- Clinical Psychology 138
- Molecular Biology 121
- Geriatrics and Gerontology 100
- Physiology 96
Countries citing papers authored by Rachel Quaden
This map shows the geographic impact of Rachel Quaden'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 Rachel Quaden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Quaden more than expected).
Fields of papers citing papers by Rachel Quaden
This network shows the impact of papers produced by Rachel Quaden. 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 Rachel Quaden. The network helps show where Rachel Quaden may publish in the future.
Co-authorship network of co-authors of Rachel Quaden
This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Quaden. A scholar is included among the top collaborators of Rachel Quaden based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rachel Quaden. Rachel Quaden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 108 | |
| 7 | 9 | |
| 8 | Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directionsbreakdown → | 215 |
| 9 | 4 | |
| 10 | 154 | |
| 11 | 11 | |
| 12 | 6 | |
| 13 | 33 | |
| 14 | 5 | |
| 15 | 10 | |
| 16 | 5 | |
| 17 | 138 | |
| 18 | Abstract 18809: Development of an Electronic Health Record-Based Algorithm for Smoking Status Using the Million Veteran Program (MVP) Cohort Survey Response | 9 |
About Rachel Quaden
Rachel Quaden is a scholar working on Occupational Therapy, Health, Toxicology and Mutagenesis and Behavioral Neuroscience, having authored 18 papers that have together received 720 indexed citations. Recurring topics across this work include Birth, Development, and Health (5 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers) and Cardiovascular Health and Risk Factors (4 papers). The work is most often cited by research in Biological Psychiatry (90 citations), Geriatrics and Gerontology (100 citations) and Behavioral Neuroscience (81 citations). Rachel Quaden has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include John Concato, Joel Gelernter, Mihaela Aslan, Kelly Harrington, Renato Polimanti, Daniel F. Levey, Krishnan Radhakrishnan, Hang Zhou, Kelly Cho and Murray B. Stein. Their work appears in journals such as Circulation, Nature Genetics and Nature Neuroscience.
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.