Wade L. Schulz
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 9
- COVID-19 Clinical Research Studies 5
-
- Cardiac, Anesthesia and Surgical Outcomes 2
- Blood Pressure and Hypertension Studies 2
- Co-authors
- Harlan M. Krumholz (22 shared papers)Suveen Angraal (1 shared paper)Thomas J S Durant (16 shared papers)F. Perry Wilson (4 shared papers)Adrian D. Haimovich (4 shared papers)H. P. Young (7 shared papers)Leslie A. Schiff (1 shared paper)Amelia K. Haj (1 shared paper)
- Journals
- Clinical Chemistry (4 papers)PLoS ONE (3 papers)Nature Communications (3 papers)Circulation Cardiovascular Quality and Outcomes (3 papers)Journal of the American Heart Association (3 papers)
- Partner nations
- United StatesBrazilSpain
In The Last Decade
Wade L. Schulz
62 papers receiving 1.8k citations
Wade L. Schulz's Hit Papers
Peers
Comparison fields: 5 of 148
- Health Informatics 73
- Infectious Diseases 439
- Health Information Management 77
- Modeling and Simulation 62
- Health 88
Countries citing papers authored by Wade L. Schulz
This map shows the geographic impact of Wade L. Schulz'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 Wade L. Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wade L. Schulz more than expected).
Fields of papers citing papers by Wade L. Schulz
This network shows the impact of papers produced by Wade L. Schulz. 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 Wade L. Schulz. The network helps show where Wade L. Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Wade L. Schulz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Blockchain Technology Hit paper breakdown → | 2017 | 258 |
| 2 | 2021 | 196 | |
| 3 | 2020 | 182 | |
| 4 | 2018 | 100 | |
| 5 | 2018 | 94 | |
| 6 | 2012 | 80 | |
| 7 | 2022 | 71 | |
| 8 | 2021 | 59 | |
| 9 | 2021 | 53 | |
| 10 | 2021 | 53 | |
| 11 | 2019 | 51 | |
| 12 | 2020 | 41 | |
| 13 | 2019 | 40 | |
| 14 | 2017 | 37 | |
| 15 | 2010 | 30 | |
| 16 | 2023 | 24 | |
| 17 | 2016 | 24 | |
| 18 | 2019 | 23 | |
| 19 | 2018 | 23 | |
| 20 | 2015 | 20 |
About Wade L. Schulz
Wade L. Schulz is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology, Artificial Intelligence and Molecular Biology, having authored 69 papers that have together received 1.8k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (5 papers), Machine Learning in Healthcare (5 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Artificial Intelligence in Healthcare (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Health Informatics (73 citations), Infectious Diseases (439 citations), Health Information Management (77 citations), Modeling and Simulation (62 citations) and Health (88 citations). Wade L. Schulz has collaborated with scholars based in United States, Brazil and Spain. Frequent co-authors include Harlan M. Krumholz, Suveen Angraal, Thomas J S Durant, F. Perry Wilson, Adrian D. Haimovich, H. P. Young, Leslie A. Schiff, Amelia K. Haj, Richard Torres and Neal G. Ravindra. Their work appears in journals such as Clinical Chemistry, PLoS ONE, Nature Communications, Circulation Cardiovascular Quality and Outcomes and Journal of the American Heart Association.
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.