Victoria M. Pak
- Experimental and Cognitive Psychology top 2%
- Cognitive Neuroscience top 10%
- Physiology top 10%
- Endocrine and Autonomic Systems top 5%
- Health, Toxicology and Mutagenesis top 5%
- Co-authors
- Michael A. GrandnerPhilip GehrmanNicholas JacksonLinda McCauleyJennifer Pinto‐MartinJianghong LiuAllan I PackMartha Powers
- Topics
- Sleep and related disorders (14 papers)Obstructive Sleep Apnea Research (14 papers)Sleep and Wakefulness Research (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of ObesitySLEEP
- Partner nations
- United StatesFranceChina
In The Last Decade
Victoria M. Pak
38 papers receiving 891 citations
Peers
Comparison fields: 5 of 110
- Experimental and Cognitive Psychology 430
- Cognitive Neuroscience 240
- Physiology 222
- Endocrine and Autonomic Systems 165
- Health, Toxicology and Mutagenesis 152
Countries citing papers authored by Victoria M. Pak
This map shows the geographic impact of Victoria M. Pak'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 Victoria M. Pak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victoria M. Pak more than expected).
Fields of papers citing papers by Victoria M. Pak
This network shows the impact of papers produced by Victoria M. Pak. 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 Victoria M. Pak. The network helps show where Victoria M. Pak may publish in the future.
Co-authorship network of co-authors of Victoria M. Pak
This figure shows the co-authorship network connecting the top 25 collaborators of Victoria M. Pak. A scholar is included among the top collaborators of Victoria M. Pak 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 Victoria M. Pak. Victoria M. Pak 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 | 3 | |
| 3 | 6 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 15 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 37 | |
| 11 | 20 | |
| 12 | 5 | |
| 13 | 17 | |
| 14 | 28 | |
| 15 | 191 | |
| 16 | 1 | |
| 17 | 245 | |
| 18 | 30 | |
| 19 | 9 | |
| 20 | 11 |
About Victoria M. Pak
Victoria M. Pak is a scholar working on Endocrine and Autonomic Systems, Experimental and Cognitive Psychology and Biological Psychiatry, having authored 40 papers that have together received 916 indexed citations. Recurring topics across this work include Sleep and related disorders (14 papers), Obstructive Sleep Apnea Research (14 papers) and Sleep and Wakefulness Research (9 papers). The work is most often cited by research in Experimental and Cognitive Psychology (430 citations), Endocrine and Autonomic Systems (165 citations) and Cognitive Neuroscience (240 citations). Victoria M. Pak has collaborated with scholars based in United States, France and China. Frequent co-authors include Michael A. Grandner, Philip Gehrman, Nicholas Jackson, Linda McCauley, Jennifer Pinto‐Martin, Jianghong Liu, Allan I Pack, Martha Powers, Fannie Onen and S.‐Hakki Onen. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Obesity and SLEEP.
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.