Vanessa King
Impact in
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- Tryptophan and brain disorders
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- Diet and metabolism studies
- Adipose Tissue and Metabolism
- Alzheimer's disease research and treatments
Papers in
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- Gene expression and cancer classification 2
- Gene Regulatory Network Analysis 2
- Bioinformatics and Genomic Networks 2
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- Radio, Podcasts, and Digital Media 1
- Co-authors
- Avinesh Pillai (1 shared paper)Matthew Phillips (1 shared paper)Jan Schepel (1 shared paper)Stacey McCoy (1 shared paper)Elham Kayvanpour (1 shared paper)Farbod Sedaghat‐Hamedani (1 shared paper)Ali Amr (1 shared paper)Edgar Zitron (1 shared paper)
- Journals
- Health Education (1 paper)PLoS ONE (1 paper)Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (1 paper)Nursing Research (1 paper)Alzheimer s Research & Therapy (1 paper)
- Partner nations
- United StatesNew ZealandNetherlands
In The Last Decade
Vanessa King
9 papers receiving 262 citations
Peers
Comparison fields: 5 of 80
- Biological Psychiatry 23
- Physiology 142
- Endocrinology, Diabetes and Metabolism 39
- Cardiology and Cardiovascular Medicine 48
- Health Informatics 3
Countries citing papers authored by Vanessa King
This map shows the geographic impact of Vanessa King'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 Vanessa King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vanessa King more than expected).
Fields of papers citing papers by Vanessa King
This network shows the impact of papers produced by Vanessa King. 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 Vanessa King. The network helps show where Vanessa King may publish in the future.
Co-authors
The 25 scholars most cited alongside Vanessa King, 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 | 2021 | 176 | |
| 2 | 2015 | 64 | |
| 3 | 2011 | 10 | |
| 4 | 2015 | 5 | |
| 5 | 2021 | 5 | |
| 6 | 2013 | 1 | |
| 7 | Creating The World We Want To Live In: How Positive Psychology Can Build a Brighter Future | 2021 | 1 |
| 8 | 2013 | 1 | |
| 9 | 1969 | 1 |
About Vanessa King
Vanessa King is a scholar working on Molecular Biology, Communication, General Health Professions, Information Systems and Physiology, having authored 9 papers that have together received 264 indexed citations. Recurring topics across this work include Gene expression and cancer classification (2 papers), Gene Regulatory Network Analysis (2 papers), Bioinformatics and Genomic Networks (2 papers), Health Policy Implementation Science (1 paper), Radio, Podcasts, and Digital Media (1 paper), Community Health and Development (1 paper), Web and Library Services (1 paper) and Mental Health and Patient Involvement (1 paper). The work is most often cited by research in Biological Psychiatry (23 citations), Physiology (142 citations), Endocrinology, Diabetes and Metabolism (39 citations), Cardiology and Cardiovascular Medicine (48 citations) and Health Informatics (3 citations). Vanessa King has collaborated with scholars based in United States, New Zealand and Netherlands. Frequent co-authors include Avinesh Pillai, Matthew Phillips, Jan Schepel, Stacey McCoy, Elham Kayvanpour, Farbod Sedaghat‐Hamedani, Ali Amr, Edgar Zitron, Tommaso Mansi and Dominik Neumann. Their work appears in journals such as Health Education, PLoS ONE, Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, Nursing Research and Alzheimer s Research & Therapy.
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.