Jessica C. Young
-
- Pain Management and Opioid Use 5
-
- Opioid Use Disorder Treatment 8
- Statistics and Probability top 10%
- Advanced Causal Inference Techniques 4
-
- Medication Adherence and Compliance 3
-
- Anesthesia and Pain Management 7
- Enhanced Recovery After Surgery 3
-
- Health Systems, Economic Evaluations, Quality of Life 5
-
- Machine Learning in Healthcare 3
- Co-authors
- Michele Jönsson FunkNabarun DasguptaVirginia PateMitchell M. ConoverJennifer M. WuMarcella G. Willis‐GrayJennifer L. LundTobias Kurth
- Cited by
- Anesthesiology and Pain MedicinePublic Health, Environmental and Occupational HealthStatistics and Probability
- Partner nations
- United StatesSwedenCanada
In The Last Decade
Jessica C. Young
32 papers receiving 280 citations
Peers
Comparison fields: 5 of 72
- Anesthesiology and Pain Medicine 65
- Public Health, Environmental and Occupational Health 107
- Statistics and Probability 24
- Geriatrics and Gerontology 11
- Family Practice 6
Countries citing papers authored by Jessica C. Young
This map shows the geographic impact of Jessica C. Young'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 Jessica C. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jessica C. Young more than expected).
Fields of papers citing papers by Jessica C. Young
This network shows the impact of papers produced by Jessica C. Young. 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 Jessica C. Young. The network helps show where Jessica C. Young may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jessica C. Young, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 12 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 10 | |
| 14 | 2019 | 5 | |
| 15 | 2019 | 18 | |
| 16 | 2019 | 20 | |
| 17 | 2019 | 36 | |
| 18 | 2018 | 20 | |
| 19 | 2018 | 11 | |
| 20 | 2018 | 25 |
About Jessica C. Young
Jessica C. Young is a scholar working on Family Practice, Anesthesiology and Pain Medicine and Health Informatics, having authored 34 papers that have together received 284 indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (8 papers), Anesthesia and Pain Management (7 papers), Pain Management and Opioid Use (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Advanced Causal Inference Techniques (4 papers), Machine Learning in Healthcare (3 papers), Medication Adherence and Compliance (3 papers) and Enhanced Recovery After Surgery (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (65 citations), Public Health, Environmental and Occupational Health (107 citations) and Statistics and Probability (24 citations). Jessica C. Young has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Michele Jönsson Funk, Nabarun Dasgupta, Virginia Pate, Mitchell M. Conover, Jennifer M. Wu, Marcella G. Willis‐Gray, Jennifer L. Lund, Tobias Kurth, Anthony Matthews and Tong Li.
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.