Mark Lachmann
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Cardiac Valve Diseases and Treatments
- Cardiac Fibrosis and Remodeling
Papers in
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- Cardiac Valve Diseases and Treatments 20
- Cardiovascular Function and Risk Factors 2
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- Electronic Health Records Systems 1
- Artificial Intelligence in Healthcare 1
- Co-authors
- Karl‐Ludwig Laugwitz (10 shared papers)Shinsuke Yuasa (7 shared papers)Yoshikazu Kishino (1 shared paper)Tomohisa Seki (1 shared paper)Mai Kimura (1 shared paper)Keiichi Fukuda (1 shared paper)Toshiomi Katsuki (1 shared paper)Dai Kusumoto (1 shared paper)
- Journals
- JACC: Cardiovascular Interventions (5 papers)European Heart Journal (4 papers)European Heart Journal - Cardiovascular Imaging (3 papers)Nature Communications (2 papers)Journal of the American Heart Association (1 paper)
- Partner nations
- GermanyJapanSouth Africa
In The Last Decade
Mark Lachmann
26 papers receiving 427 citations
Peers
Comparison fields: 5 of 56
- Health Informatics 58
- Cardiology and Cardiovascular Medicine 193
- Biophysics 42
- Health Information Management 13
- Molecular Biology 81
Countries citing papers authored by Mark Lachmann
This map shows the geographic impact of Mark Lachmann'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 Mark Lachmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Lachmann more than expected).
Fields of papers citing papers by Mark Lachmann
This network shows the impact of papers produced by Mark Lachmann. 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 Mark Lachmann. The network helps show where Mark Lachmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Lachmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 80 | |
| 2 | 2021 | 40 | |
| 3 | 2023 | 35 | |
| 4 | 2024 | 35 | |
| 5 | 2022 | 34 | |
| 6 | 2017 | 29 | |
| 7 | 2022 | 22 | |
| 8 | 2022 | 21 | |
| 9 | 2023 | 21 | |
| 10 | 2021 | 20 | |
| 11 | 2023 | 18 | |
| 12 | 2022 | 14 | |
| 13 | 2023 | 13 | |
| 14 | 2022 | 9 | |
| 15 | 2015 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2025 | 8 | |
| 18 | 2023 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2025 | 5 |
About Mark Lachmann
Mark Lachmann is a scholar working on Cardiology and Cardiovascular Medicine, Health Information Management, Health Informatics, Biophysics and Cancer Research, having authored 32 papers that have together received 440 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (20 papers), Cardiovascular Function and Risk Factors (2 papers), Electronic Health Records Systems (1 paper), Coronary Artery Anomalies (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Nuclear Structure and Function (1 paper), Artificial Intelligence in Healthcare (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Health Informatics (58 citations), Cardiology and Cardiovascular Medicine (193 citations), Biophysics (42 citations), Health Information Management (13 citations) and Molecular Biology (81 citations). Mark Lachmann has collaborated with scholars based in Germany, Japan and South Africa. Frequent co-authors include Karl‐Ludwig Laugwitz, Shinsuke Yuasa, Yoshikazu Kishino, Tomohisa Seki, Mai Kimura, Keiichi Fukuda, Toshiomi Katsuki, Dai Kusumoto, Shelby Kutty and Moritz von Scheidt. Their work appears in journals such as JACC: Cardiovascular Interventions, European Heart Journal, European Heart Journal - Cardiovascular Imaging, Nature Communications and Journal of the American Heart Association.
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.