Christian Reich
- Health Information Management top 0.2%
- Electronic Health Records Systems 9
- Toxicology top 0.5%
- Pharmacovigilance and Adverse Drug Reactions 7
- Health Informatics top 1%
- Statistics and Probability top 1%
- Statistical Methods in Clinical Trials 7
- Geriatrics and Gerontology top 5%
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- Biomedical Text Mining and Ontologies 9
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- Blood Pressure and Hypertension Studies 5
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- Health Systems, Economic Evaluations, Quality of Life 5
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- Clinical practice guidelines implementation 4
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- Machine Learning in Healthcare 4
Christian Reich
53 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Health Information Management 487
- Toxicology 303
- Health Informatics 98
- Statistics and Probability 320
- Geriatrics and Gerontology 88
Countries citing papers authored by Christian Reich
This map shows the geographic impact of Christian Reich'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 Christian Reich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Reich more than expected).
Fields of papers citing papers by Christian Reich
This network shows the impact of papers produced by Christian Reich. 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 Christian Reich. The network helps show where Christian Reich may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christian Reich, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 42 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 19 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 20 | |
| 10 | 2022 | 22 | |
| 11 | 2021 | 104 | |
| 12 | 2021 | 19 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 22 | |
| 15 | 2019 | 18 | |
| 16 | 2019 | 7 | |
| 17 | 2019 | 10 | |
| 18 | Data Standardization in Cancer: Challenges and Opportunities. | 2018 | 1 |
| 19 | Feasibility of Converting the Medicare Synthetic Public Use Data Into a Standardized Data Model for Clinical Research Informatics. | 2015 | 1 |
| 20 | 2012 | 58 |
About Christian Reich
Christian Reich is a scholar working on Toxicology, Health Information Management and Statistics and Probability, having authored 57 papers that have together received 3.0k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (9 papers), Electronic Health Records Systems (9 papers), Statistical Methods in Clinical Trials (7 papers), Pharmacovigilance and Adverse Drug Reactions (7 papers), Blood Pressure and Hypertension Studies (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Clinical practice guidelines implementation (4 papers) and Machine Learning in Healthcare (4 papers). The work is most often cited by research in Health Information Management (487 citations), Toxicology (303 citations) and Health Informatics (98 citations). Christian Reich has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Patrick Ryan, Paul Stang, Abraham G. Hartzema, J. Marc Overhage, Martijn J. Schuemie, Marc A. Suchard, George Hripcsak, Jon Duke, Nicole Pratt and Rae Woong Park. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and JAMA.
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.