Daniel H. Katz
Impact in
-
- Cardiovascular Function and Risk Factors
- Heart Failure Treatment and Management
- Cardiac pacing and defibrillation studies
- Cardiac Valve Diseases and Treatments
- Health Informatics top 2%
Papers in
-
- Cardiovascular Function and Risk Factors 12
- Heart Failure Treatment and Management 5
- Cardiac Valve Diseases and Treatments 4
- Aging 1
- Co-authors
- Sanjiv J. ShahRahul C. DeoMichael A. BurkeSenthil SelvarajClyde W. YancyMihai GheorghiadeChiang‐Ching HuangRobert O. Bonow
- Journals
- Circulation (5 papers)The American Journal of Cardiology (3 papers)Circulation Research (2 papers)Annals of Internal Medicine (2 papers)Heart Failure Clinics (2 papers)
- Partner nations
- United StatesSingaporeNepal
In The Last Decade
Daniel H. Katz
39 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Cardiology and Cardiovascular Medicine 1.3k
- Health Informatics 62
- Health Information Management 80
- Nephrology 93
- Endocrinology, Diabetes and Metabolism 200
Countries citing papers authored by Daniel H. Katz
This map shows the geographic impact of Daniel H. Katz'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 Daniel H. Katz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel H. Katz more than expected).
Fields of papers citing papers by Daniel H. Katz
This network shows the impact of papers produced by Daniel H. Katz. 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 Daniel H. Katz. The network helps show where Daniel H. Katz may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel H. Katz, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 19 | |
| 7 | 2022 | 94 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 0 | |
| 10 | 2021 | 41 | |
| 11 | 2020 | 28 | |
| 12 | 2017 | 63 | |
| 13 | 2015 | 30 | |
| 14 | Phenomapping for Novel Classification of Heart Failure With Preserved Ejection Fraction Hit paper breakdown → | 2014 | 709 |
| 15 | 2014 | 74 | |
| 16 | 2014 | 128 | |
| 17 | 2013 | 71 | |
| 18 | 2009 | 10 | |
| 19 | 2006 | 9 | |
| 20 | 2004 | 151 |
About Daniel H. Katz
Daniel H. Katz is a scholar working on Cardiology and Cardiovascular Medicine, Aging, Radiology, Nuclear Medicine and Imaging, Physiology and Geriatrics and Gerontology, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (12 papers), Cardiac Imaging and Diagnostics (7 papers), Heart Failure Treatment and Management (5 papers), Muscle metabolism and nutrition (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Coronary Interventions and Diagnostics (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Health Informatics (62 citations), Health Information Management (80 citations), Nephrology (93 citations) and Endocrinology, Diabetes and Metabolism (200 citations). Daniel H. Katz has collaborated with scholars based in United States, Singapore and Nepal. Frequent co-authors include Sanjiv J. Shah, Rahul C. Deo, Michael A. Burke, Senthil Selvaraj, Clyde W. Yancy, Mihai Gheorghiade, Chiang‐Ching Huang, Robert O. Bonow, Lauren Beussink‐Nelson and Andrew J. Sauer. Their work appears in journals such as Circulation, The American Journal of Cardiology, Circulation Research, Annals of Internal Medicine and Heart Failure Clinics.
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.