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 2
-
- Aortic Disease and Treatment Approaches 2
- Co-authors
- Shinsuke Yuasa (6 shared papers)Dai Kusumoto (1 shared paper)Toshiomi Katsuki (1 shared paper)Tomohisa Seki (1 shared paper)Yoshikazu Kishino (1 shared paper)Karl‐Ludwig Laugwitz (3 shared papers)Mai Kimura (1 shared paper)Keiichi Fukuda (1 shared paper)
- Journals
- JACC: Cardiovascular Interventions (4 papers)European Heart Journal (3 papers)Open Heart (1 paper)Trends in Cardiovascular Medicine (1 paper)Catheterization and Cardiovascular Interventions (1 paper)
- Partner nations
- GermanyJapanSouth Africa
In The Last Decade
Mark Lachmann
13 papers receiving 223 citations
Peers
Comparison fields: 5 of 56
- Health Informatics 17
- Biophysics 32
- Cardiology and Cardiovascular Medicine 81
- Aging 3
- Radiology, Nuclear Medicine and Imaging 26
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 | 73 | |
| 2 | 2021 | 31 | |
| 3 | 2022 | 29 | |
| 4 | 2023 | 21 | |
| 5 | 2021 | 20 | |
| 6 | 2022 | 14 | |
| 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 | 2021 | 0 | |
| 16 | 2021 | 0 | |
| 17 | 2026 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2026 | 0 |
About Mark Lachmann
Mark Lachmann is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Epidemiology, having authored 19 papers that have together received 225 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (11 papers), Aortic Disease and Treatment Approaches (2 papers), Infective Endocarditis Diagnosis and Management (2 papers), Cardiovascular Function and Risk Factors (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Digital Imaging for Blood Diseases (1 paper), Cardiac and Coronary Surgery Techniques (1 paper) and Coronary Interventions and Diagnostics (1 paper). The work is most often cited by research in Health Informatics (17 citations), Biophysics (32 citations), Cardiology and Cardiovascular Medicine (81 citations), Aging (3 citations) and Radiology, Nuclear Medicine and Imaging (26 citations). Mark Lachmann has collaborated with scholars based in Germany, Japan and South Africa. Frequent co-authors include Shinsuke Yuasa, Dai Kusumoto, Toshiomi Katsuki, Tomohisa Seki, Yoshikazu Kishino, Karl‐Ludwig Laugwitz, Mai Kimura, Keiichi Fukuda, Cedric Manlhiot and Shelby Kutty. Their work appears in journals such as JACC: Cardiovascular Interventions, European Heart Journal, Open Heart, Trends in Cardiovascular Medicine 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.