Mark Lachmann
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- Cardiac Valve Diseases and Treatments 11
- Cardiovascular Function and Risk Factors 7
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- Pulmonary Hypertension Research and Treatments 4
- Aortic Disease and Treatment Approaches 3
- Co-authors
- Shinsuke Yuasa (6 shared papers)Keiichi Fukuda (1 shared paper)Tomohisa Seki (1 shared paper)Yoshikazu Kishino (1 shared paper)Mai Kimura (1 shared paper)Dai Kusumoto (1 shared paper)Karl‐Ludwig Laugwitz (3 shared papers)Moritz von Scheidt (8 shared papers)
- Journals
- JACC: Cardiovascular Interventions (3 papers)European Heart Journal (3 papers)Journal of Clinical Medicine (1 paper)Biomolecules (1 paper)Catheterization and Cardiovascular Interventions (1 paper)
- Partner nations
- GermanyJapanSouth Africa
In The Last Decade
Mark Lachmann
13 papers receiving 205 citations
Peers
Comparison fields: 5 of 61
- Health Informatics 21
- Biophysics 33
- Cardiology and Cardiovascular Medicine 79
- Aging 3
- Radiology, Nuclear Medicine and Imaging 35
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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 69 | |
| 2 | 2021 | 30 | |
| 3 | 2022 | 25 | |
| 4 | 2021 | 19 | |
| 5 | 2023 | 17 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 9 | |
| 8 | 2015 | 8 | |
| 9 | 2022 | 6 | |
| 10 | 2023 | 6 | |
| 11 | 2024 | 4 | |
| 12 | 2018 | 3 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2021 | 0 | |
| 17 | 2021 | 0 |
About Mark Lachmann
Mark Lachmann is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 208 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (11 papers), Cardiovascular Function and Risk Factors (7 papers), Infective Endocarditis Diagnosis and Management (5 papers), Pulmonary Hypertension Research and Treatments (4 papers), Cardiac Structural Anomalies and Repair (3 papers), Aortic Disease and Treatment Approaches (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Informatics (21 citations), Biophysics (33 citations), Cardiology and Cardiovascular Medicine (79 citations), Aging (3 citations) and Radiology, Nuclear Medicine and Imaging (35 citations). Mark Lachmann has collaborated with scholars based in Germany, Japan and South Africa. Frequent co-authors include Shinsuke Yuasa, Keiichi Fukuda, Tomohisa Seki, Yoshikazu Kishino, Mai Kimura, Dai Kusumoto, Karl‐Ludwig Laugwitz, Moritz von Scheidt, Shelby Kutty and Cedric Manlhiot. Their work appears in journals such as JACC: Cardiovascular Interventions, European Heart Journal, Journal of Clinical Medicine, Biomolecules and Catheterization and Cardiovascular Interventions.
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.