Christian Reich

7.1k total citations · 2 hit papers
57 papers, 3.0k citations indexed

About

Christian Reich is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Health Information Management. According to data from OpenAlex, Christian Reich has authored 57 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Cardiology and Cardiovascular Medicine and 9 papers in Health Information Management. Recurrent topics in Christian Reich's work include Biomedical Text Mining and Ontologies (9 papers), Electronic Health Records Systems (9 papers) and Statistical Methods in Clinical Trials (7 papers). Christian Reich is often cited by papers focused on Biomedical Text Mining and Ontologies (9 papers), Electronic Health Records Systems (9 papers) and Statistical Methods in Clinical Trials (7 papers). Christian Reich collaborates with scholars based in United States, United Kingdom and Netherlands. Christian Reich's co-authors include Patrick Ryan, Paul Stang, J. Marc Overhage, Abraham G. Hartzema, Martijn J. Schuemie, Marc A. Suchard, George Hripcsak, Jon Duke, Nicole Pratt and Rae Woong Park and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and JAMA.

In The Last Decade

Christian Reich

53 papers receiving 3.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers

2015 749 citations George Hripcsak, Jon Duke et al. Studies in health technology and informatics profile →
Validation of a common data model for active safety surveillance research

2011 347 citations Patrick Ryan, Christian Reich et al. Journal of the American Medical Informatics Association profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Christian Reich United States	21	617	575	487	431	320	57	3.0k
Rae Woong Park South Korea	28	763 1.2×	628 1.1×	626 1.3×	377 0.9×	142 0.4×	191	3.7k
Jon Duke United States	23	463 0.8×	465 0.8×	490 1.0×	262 0.6×	189 0.6×	52	2.2k
Josh F. Peterson United States	42	329 0.5×	650 1.1×	716 1.5×	995 2.3×	179 0.6×	121	9.3k
Peter R. Rijnbeek Netherlands	31	818 1.3×	487 0.8×	426 0.9×	1.0k 2.4×	170 0.5×	120	4.3k
Abraham G. Hartzema United States	37	242 0.4×	339 0.6×	216 0.4×	331 0.8×	351 1.1×	113	4.4k
Johan van der Lei Netherlands	40	549 0.9×	862 1.5×	879 1.8×	751 1.7×	306 1.0×	174	6.5k
G. Niklas Norén Sweden	26	368 0.6×	405 0.7×	240 0.5×	134 0.3×	375 1.2×	63	2.9k
Michael E. Matheny United States	52	1.0k 1.6×	909 1.6×	743 1.5×	1.2k 2.7×	143 0.4×	265	9.7k
Sengwee Toh United States	40	210 0.3×	356 0.6×	257 0.5×	565 1.3×	735 2.3×	200	5.5k
Jill M. Pulley United States	27	298 0.5×	893 1.6×	201 0.4×	322 0.7×	214 0.7×	81	3.7k

Countries citing papers authored by Christian Reich

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Verbiest, Annelies, Ilkka Ilonen, Michael Franz, et al.. (2025). 1867P FALCON-Lung: Evolving global ICI treatment patterns and outcomes in the era of personalized mNSCLC treatment. Annals of Oncology. 36. S1004–S1004. 1 indexed citations

Conover, Mitchell M., et al.. (2025). Glucagon‐Like Peptide 1 Receptor Agonists and Chronic Lower Respiratory Disease Among Type 2 Diabetes Patients: Replication and Reliability Assessment Across a Research Network. Pharmacoepidemiology and Drug Safety. 34(1). e70087–e70087. 2 indexed citations

Sridhar, Gayathri, Graça M. Dores, Barbee Whitaker, et al.. (2024). Patterns of red blood cell utilization: Harnessing electronic health records data from the Information Standard for Blood and Transplant (ISBT) 128 system within the Biologics Effectiveness and Safety (BEST) initiative. Transfusion. 64(6). 998–1007.

Reich, Christian, Anna Ostropolets, Patrick Ryan, et al.. (2024). OHDSI Standardized Vocabularies—a large-scale centralized reference ontology for international data harmonization. Journal of the American Medical Informatics Association. 31(3). 583–590. 42 indexed citations

Alejandro, Klender Aimer Cortéz, Martha del Pilar Rodríguez García, & Christian Reich. (2023). Consumers’ purchase intention of rapid COVID-19 tests. Journal of Economics Finance and Administrative Science. 28(55). 79–95. 1 indexed citations

Luo, Hao, Wallis C. Y. Lau, Yi Chai, et al.. (2023). Rates of Antipsychotic Drug Prescribing Among People Living With Dementia During the COVID-19 Pandemic. JAMA Psychiatry. 80(3). 211–211. 19 indexed citations

Xie, Junqing, Stefan Driessen, Giustino Varrassi, et al.. (2023). Risk of COVID-19 Diagnosis and Hospitalisation in Patients with Osteoarthritis or Back Pain Treated with Ibuprofen Compared to Other NSAIDs or Paracetamol: A Network Cohort Study. Drugs. 83(3). 249–263. 7 indexed citations

Lysen, Thom S., Hanne van Ballegooijen, Peter Rijnbeek, et al.. (2023). Impact of European Union Label Changes for Fluoroquinolone-Containing Medicinal Products for Systemic and Inhalation Use: Post-Referral Prescribing Trends. Drug Safety. 46(4). 405–416. 14 indexed citations

Lau, Wallis C. Y., Carmen Olga Torre, Kenneth K. C. Man, et al.. (2022). Comparative Effectiveness and Safety Between Apixaban, Dabigatran, Edoxaban, and Rivaroxaban Among Patients With Atrial Fibrillation. Annals of Internal Medicine. 175(11). 1515–1524. 47 indexed citations

10.

Burn, Edward, Xintong Li, Kristin Kostka, et al.. (2022). Background rates of five thrombosis with thrombocytopenia syndromes of special interest for COVID ‐19 vaccine safety surveillance: Incidence between 2017 and 2019 and patient profiles from 38.6 million people in six European countries. Pharmacoepidemiology and Drug Safety. 31(5). 495–510. 20 indexed citations

11.

Szarfman, Ana, Joseph M. Tonning, Frank Weichold, et al.. (2022). Recommendations for achieving interoperable and shareable medical data in the USA. SHILAP Revista de lepidopterología. 2(1). 86–86. 22 indexed citations

12.

Li, Yupeng, et al.. (2022). Towards quality improvement of vaccine concept mappings in the OMOP vocabulary with a semi-automated method. Journal of Biomedical Informatics. 134. 104162–104162. 3 indexed citations

13.

Chen, Ruijun, Marc A. Suchard, Harlan M. Krumholz, et al.. (2021). Comparative First-Line Effectiveness and Safety of ACE (Angiotensin-Converting Enzyme) Inhibitors and Angiotensin Receptor Blockers: A Multinational Cohort Study. Hypertension. 78(3). 591–603. 104 indexed citations

14.

You, Seng Chan, Harlan M. Krumholz, Marc A. Suchard, et al.. (2021). Comprehensive Comparative Effectiveness and Safety of First-Line β-Blocker Monotherapy in Hypertensive Patients. Hypertension. 77(5). 1528–1538. 19 indexed citations

15.

You, Seng Chan, Anna Ostropolets, Yeunsook Rho, et al.. (2021). Incorporation of Korean Electronic Data Interchange Vocabulary into Observational Medical Outcomes Partnership Vocabulary. Healthcare Informatics Research. 27(1). 29–38. 12 indexed citations

16.

Nestsiarovich, Anastasiya, Jenna Reps, Michael E. Matheny, et al.. (2021). Predictors of diagnostic transition from major depressive disorder to bipolar disorder: a retrospective observational network study. Translational Psychiatry. 11(1). 642–642. 22 indexed citations

17.

You, Seng Chan, Yu Rang Park, Jin Roh, et al.. (2019). Genomic Common Data Model for Seamless Interoperation of Biomedical Data in Clinical Practice: Retrospective Study. Journal of Medical Internet Research. 21(3). e13249–e13249. 18 indexed citations

18.

Belenkaya, Rimma, Michael Gurley, Dmitry Dymshyts, et al.. (2019). Standardized Observational Cancer Research Using the OMOP CDM Oncology Module. Studies in health technology and informatics. 264. 1831–1832. 7 indexed citations

19.

Belenkaya, Rimma, W. Scott Campbell, Ruijun Chen, et al.. (2018). Data Standardization in Cancer: Challenges and Opportunities.. AMIA. 1 indexed citations

20.

Danese, Mark D., Erica A. Voss, Michelle Gleeson, et al.. (2015). Feasibility of Converting the Medicare Synthetic Public Use Data Into a Standardized Data Model for Clinical Research Informatics.. AMIA. 1 indexed citations

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.

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