Christian Reich
- Artificial Intelligence top 2%
- Molecular Biology
- Health Information Management top 0.2%
- Cardiology and Cardiovascular Medicine top 5%
- Statistics and Probability top 1%
- Co-authors
- Patrick RyanPaul StangAbraham G. HartzemaJ. Marc OverhageMartijn J. SchuemieMarc A. SuchardGeorge HripcsakJon Duke
- Topics
- Biomedical Text Mining and Ontologies (9 papers)Electronic Health Records Systems (9 papers)Statistical Methods in Clinical Trials (7 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Christian Reich
53 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Artificial Intelligence 617
- Molecular Biology 575
- Health Information Management 487
- Cardiology and Cardiovascular Medicine 431
- Statistics and Probability 320
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 of co-authors of Christian Reich
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Reich. A scholar is included among the top collaborators of Christian Reich 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 Christian Reich. Christian Reich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 42 | |
| 4 | 0 | |
| 5 | 19 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 20 | |
| 10 | 22 | |
| 11 | 104 | |
| 12 | 19 | |
| 13 | 12 | |
| 14 | 22 | |
| 15 | 18 | |
| 16 | 7 | |
| 17 | 10 | |
| 18 | Data Standardization in Cancer: Challenges and Opportunities. | 1 |
| 19 | Feasibility of Converting the Medicare Synthetic Public Use Data Into a Standardized Data Model for Clinical Research Informatics. | 1 |
| 20 | 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) and Statistical Methods in Clinical Trials (7 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.