Jannik Schaaf

511 total citations
41 papers, 212 citations indexed

About

Jannik Schaaf is a scholar working on Molecular Biology, Genetics and Health Information Management. According to data from OpenAlex, Jannik Schaaf has authored 41 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Genetics and 12 papers in Health Information Management. Recurrent topics in Jannik Schaaf's work include Genomics and Rare Diseases (16 papers), Biomedical Text Mining and Ontologies (16 papers) and Electronic Health Records Systems (9 papers). Jannik Schaaf is often cited by papers focused on Genomics and Rare Diseases (16 papers), Biomedical Text Mining and Ontologies (16 papers) and Electronic Health Records Systems (9 papers). Jannik Schaaf collaborates with scholars based in Germany, Netherlands and United States. Jannik Schaaf's co-authors include Holger Storf, Martin Sedlmayr, Brita Sedlmayr, Harald Schmidt, Philip Ahrens, Thomas Wagner, Stefan Zielen, Martin Boeker, Frank Ückert and Michael Wagner and has published in prestigious journals such as Journal of the American Medical Informatics Association, Clinical & Experimental Immunology and International Journal of Medical Informatics.

In The Last Decade

Jannik Schaaf

31 papers receiving 209 citations

Peers

Jannik Schaaf

GENET

HIM

Ilona Binenbaum Greece

Vasiliki Mollaki Greece

Hyo Jung Hong South Korea

Mingxuan Xie China

Damian Rieke Germany

Manuela Benary Germany

Simona Baselice Italy

Jusaku Minari Japan

Hung S. Luu United States

Rimma Belenkaya United States

Ilona Binenbaum Greece

Jannik Schaaf

31 ×0.5

GENET

71 ×1.2

46 ×0.9

HIM

24 ×0.8

24 ×0.9

Citations per year, relative to Jannik Schaaf Jannik Schaaf (= 1×) peers Ilona Binenbaum

Countries citing papers authored by Jannik Schaaf

Since Specialization

Citations

This map shows the geographic impact of Jannik Schaaf'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 Jannik Schaaf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jannik Schaaf more than expected).

Fields of papers citing papers by Jannik Schaaf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jannik Schaaf. 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 Jannik Schaaf. The network helps show where Jannik Schaaf may publish in the future.

Co-authorship network of co-authors of Jannik Schaaf

This figure shows the co-authorship network connecting the top 25 collaborators of Jannik Schaaf. A scholar is included among the top collaborators of Jannik Schaaf 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 Jannik Schaaf. Jannik Schaaf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Stratmann, Katharina, et al.. (2025). Enhancing diagnostic precision for rare diseases using case-based reasoning. Journal of the American Medical Informatics Association. 33(1). 98–111.

Schaaf, Jannik, et al.. (2025). Development of an Interactive Online Course on Artificial Intelligence in Medicine: A Study on Design and Implementation. Studies in health technology and informatics. 323. 506–510.

Schaaf, Jannik, et al.. (2025). Evaluating the Prototype of a Clinical Decision Support System in Primary Care: Qualitative Study. JMIR Formative Research. 9. e69875–e69875. 1 indexed citations

Schaaf, Jannik, et al.. (2025). User or patient/human or person? Development of a practical framework for applying user-centered design to vulnerable populations for digital transformation in healthcare. Digital Health. 11. 610019547–610019547.

Schaaf, Jannik, et al.. (2024). Initial User-Centred Design of an AI-Based Clinical Decision Support System for Primary Care. Studies in health technology and informatics. 310. 1051–1055. 6 indexed citations

Schaaf, Jannik, et al.. (2024). Exploring patient-centered design solutions of a telehealth app for HIV − A qualitative study. International Journal of Medical Informatics. 189. 105524–105524. 3 indexed citations

Storf, Holger, et al.. (2024). Development and expert inspections of the user interface for a primary care decision support system. International Journal of Medical Informatics. 192. 105651–105651. 1 indexed citations

Sedlmayr, Martin, Gabriele Müller, Helge Hebestreit, et al.. (2024). Secondary use of patient data within decentralized studies using the example of rare diseases in Germany: A data scientist's exploration of process and lessons learned. Digital Health. 10. 599908931–599908931. 1 indexed citations

Schaaf, Jannik, et al.. (2023). Interviews with HIV Experts for Development of a Mobile Health Application in HIV Care—A Qualitative Study. Healthcare. 11(15). 2180–2180. 4 indexed citations

10.

Schaaf, Jannik, et al.. (2023). Methods Used in the Development of Common Data Models for Health Data: Scoping Review. JMIR Medical Informatics. 11. e45116–e45116. 10 indexed citations

11.

Boeker, Martin, et al.. (2023). Machine translation of standardised medical terminology using natural language processing: A scoping review. New Biotechnology. 77. 120–129. 10 indexed citations

12.

Schaaf, Jannik, et al.. (2023). Requirements analysis for an AI-based clinical decision support system for general practitioners: a user-centered design process. BMC Medical Informatics and Decision Making. 23(1). 144–144. 16 indexed citations

13.

Schaaf, Jannik, et al.. (2022). The Use of Computer-Assisted Case-Based Reasoning to Support Clinical Decision-Making – A Scoping Review. Lecture notes in computer science. 395–409. 3 indexed citations

14.

Schaaf, Jannik, et al.. (2020). Diagnosis of Rare Diseases: a scoping review of clinical decision support systems. Orphanet Journal of Rare Diseases. 15(1). 263–263. 32 indexed citations

15.

Schaaf, Jannik, et al.. (2020). Interviews with experts in rare diseases for the development of clinical decision support system software - a qualitative study. BMC Medical Informatics and Decision Making. 20(1). 230–230. 9 indexed citations

16.

Schaaf, Jannik, Martin Sedlmayr, Hans‐Ulrich Prokosch, et al.. (2020). The Status Quo of Rare Diseases Centres for the Development of a Clinical Decision Support System – A Cross-Sectional Study. Studies in health technology and informatics. 271. 176–183. 4 indexed citations

17.

Schaaf, Jannik, et al.. (2019). Diagnosis of Rare Diseases: A scoping review of clinical decision support systems. Research Square. 1 indexed citations

18.

Ganslandt, Thomas, Jannik Schaaf, Josef Schepers, et al.. (2019). Experiences from the National Demonstrator Study within the German Medical Informatics Initiative.. AMIA.

19.

Schaaf, Jannik, Martin Boeker, Thomas Ganslandt, et al.. (2019). Finding the Needle in the Hay Stack: An Open Architecture to Support Diagnosis of Undiagnosed Patients. Studies in health technology and informatics. 264. 1580–1581. 7 indexed citations

20.

Storf, Holger, et al.. (2017). Register für seltene Erkrankungen: OSSE – ein Open-Source-Framework für die technische Umsetzung. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 60(5). 523–531. 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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