Jan Christoph

901 total citations
48 papers, 441 citations indexed

About

Jan Christoph is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jan Christoph has authored 48 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Cancer Research and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jan Christoph's work include Cancer Genomics and Diagnostics (11 papers), Scientific Computing and Data Management (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Jan Christoph is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Scientific Computing and Data Management (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Jan Christoph collaborates with scholars based in Germany, United States and United Kingdom. Jan Christoph's co-authors include Hans‐Ulrich Prokosch, Dennis Toddenroth, Martin Sedlmayr, Felix Köpcke, Lena Griebel, Hauke Busch, Thomas Ganslandt, Melanie Boerries, Patrick Metzger and Florian Haller and has published in prestigious journals such as Ophthalmology, Frontiers in Immunology and Annals of the Rheumatic Diseases.

In The Last Decade

Jan Christoph

43 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Christoph Germany 11 114 68 67 59 57 48 441
Ulrich Sax Germany 13 262 2.3× 83 1.2× 81 1.2× 153 2.6× 38 0.7× 60 797
Lauren B. Becnel United States 10 126 1.1× 39 0.6× 40 0.6× 44 0.7× 26 0.5× 18 437
Denise Warzel United States 7 173 1.5× 54 0.8× 22 0.3× 48 0.8× 35 0.6× 11 362
Vishal Batra India 12 133 1.2× 44 0.6× 67 1.0× 12 0.2× 37 0.6× 67 704
Stuart Bailey United States 11 147 1.3× 42 0.6× 56 0.8× 9 0.2× 26 0.5× 15 524
Vivek Patkar United Kingdom 13 110 1.0× 33 0.5× 32 0.5× 96 1.6× 54 0.9× 48 566
Theodore C. Goldstein United States 9 212 1.9× 31 0.5× 129 1.9× 19 0.3× 21 0.4× 19 394
Steve Harris United Kingdom 10 233 2.0× 73 1.1× 54 0.8× 18 0.3× 14 0.2× 29 533

Countries citing papers authored by Jan Christoph

Since Specialization
Citations

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

Fields of papers citing papers by Jan Christoph

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Christoph

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

All Works

20 of 20 papers shown
1.
Denny, Kathleen, et al.. (2025). Patients’ Perceptions of Artificial Intelligence Acceptance, Challenges, and Use in Medical Care: Qualitative Study. Journal of Medical Internet Research. 27. e70487–e70487. 5 indexed citations
2.
Böhm, Dieter, Thomas Ganslandt, Patrick Metzger, et al.. (2025). Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards. BMC Medical Informatics and Decision Making. 25(1). 29–29. 1 indexed citations
3.
Boehm, Dominik, Patrick Metzger, Hans A. Kestler, et al.. (2025). Uncovering the Understanding of the Concept of Patient Similarity in Cancer Research and Treatment: Scoping Review. Journal of Medical Internet Research. 27. e71906–e71906.
4.
Prokosch, Hans‐Ulrich, et al.. (2024). A Governance Framework for the Implementation and Operation of AI Applications in a University Hospital. Studies in health technology and informatics. 316. 776–780. 2 indexed citations
5.
Christoph, Jan, et al.. (2024). Physicians’ Attitudes Towards Artificial Intelligence: Results of the PEAK Project. Studies in health technology and informatics. 316. 664–665.
6.
Manoochehri, Mehdi, et al.. (2024). Individualized neoantigen peptide immunization of a metastatic pancreatic cancer patient: a case report of combined tumor and liquid biopsy. Frontiers in Immunology. 15. 1414737–1414737. 2 indexed citations
7.
Boehm, Dominik, Patrick Metzger, Hans A. Kestler, et al.. (2024). Identifications of Similarity Metrics for Patients With Cancer: Protocol for a Scoping Review. JMIR Research Protocols. 13. e58705–e58705. 1 indexed citations
8.
Mikolajczyk, Rafael, et al.. (2023). BeoNet-Halle – Aufbau einer multifunktionalen Datenbank zur automatisierten Extraktion von Versorgungsdaten aus Haus- und Facharztpraxen. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 66(5). 569–577. 4 indexed citations
9.
Metzger, Patrick, V. Schipperges, Jan Christoph, et al.. (2023). MIRACUM-Pipe: An Adaptable Pipeline for Next-Generation Sequencing Analysis, Reporting, and Visualization for Clinical Decision Making. Cancers. 15(13). 3456–3456. 10 indexed citations
10.
Boehm, Dominik, et al.. (2023). Data Visualization Support for Tumor Boards and Clinical Oncology: Protocol for a Scoping Review. JMIR Research Protocols. 13. e53627–e53627. 1 indexed citations
11.
Christoph, Jan, et al.. (2023). Extending cBioPortal for Therapy Recommendation Documentation in Molecular Tumor Boards: Development and Usability Study. JMIR Medical Informatics. 11. e50017–e50017. 6 indexed citations
12.
Manoochehri, Mehdi, et al.. (2023). Improved Survival of a HER2-Positive Metastatic Breast Cancer Patient Following a Personalized Peptide Immunization. Vaccines. 11(6). 1023–1023. 2 indexed citations
13.
Desuki, Alexander, Daniel‐Christoph Wagner, Jan Christoph, et al.. (2021). cbpManager: a web application to streamline the integration of clinical and genomic data in cBioPortal to support the Molecular Tumor Board. BMC Medical Informatics and Decision Making. 21(1). 358–358. 5 indexed citations
14.
Metzger, Patrick, Martin Boeker, Till Acker, et al.. (2020). Requirements Analysis and Specification for a Molecular Tumor Board Platform Based on cBioPortal. Diagnostics. 10(2). 93–93. 25 indexed citations
15.
16.
Aghdassi, Ali A., Frank Dombrowski, Paula Döring, et al.. (2018). Gastrointestinal Stromal Tumors: Clinical Symptoms, Location, Metastasis Formation, and Associated Malignancies in a Single Center Retrospective Study. Digestive Diseases. 36(5). 337–345. 19 indexed citations
17.
Sedlmayr, Martin, et al.. (2017). Developing Interactive Plug-ins for tranSMART Using the SmartR Framework: The Case of Survival Analysis. Studies in health technology and informatics. 236. 375–382. 1 indexed citations
18.
Christoph, Jan, Anja‐Katrin Bosserhoff, Elisabeth Naschberger, et al.. (2017). Usability and Suitability of the Omics-Integrating Analysis Platform tranSMART for Translational Research and Education. Applied Clinical Informatics. 8(4). 1173–1183. 5 indexed citations
19.
Griebel, Lena, Hans‐Ulrich Prokosch, Felix Köpcke, et al.. (2015). A scoping review of cloud computing in healthcare. BMC Medical Informatics and Decision Making. 15(1). 17–17. 146 indexed citations
20.
Ganslandt, Thomas, Ulrich Sax, Matthias Löbe, et al.. (2012). Integrated Data Repository Toolkit: Werkzeuge zur Nachnutzung medizinischer Daten für die Forschung.. GI-Jahrestagung. 1252–1259. 2 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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