Daniel S. Herman
Impact in
- Health Informatics top 5%
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- Cardiomyopathy and Myosin Studies
- Acute Myocardial Infarction Research
- Blood Pressure and Hypertension Studies
Papers in
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- Cardiomyopathy and Myosin Studies 4
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- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 3
- Co-authors
- Jonathan G. Seidman (6 shared papers)Dina N. Greene (4 shared papers)Jordana B. Cohen (3 shared papers)Danos C. Christodoulou (2 shared papers)Peter A. Kavsak (3 shared papers)Debbie L. Cohen (3 shared papers)Joshua Gorham (2 shared papers)John T. Leppert (1 shared paper)
- Journals
- Current Protocols in Molecular Biology (2 papers)Hypertension (2 papers)Clinical Chemistry (2 papers)Nature Methods (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Daniel S. Herman
32 papers receiving 665 citations
Peers
Comparison fields: 5 of 121
- Health Informatics 26
- Cardiology and Cardiovascular Medicine 183
- Endocrinology, Diabetes and Metabolism 114
- Cancer Research 101
- Health Information Management 15
Countries citing papers authored by Daniel S. Herman
This map shows the geographic impact of Daniel S. Herman'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 S. Herman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Herman more than expected).
Fields of papers citing papers by Daniel S. Herman
This network shows the impact of papers produced by Daniel S. Herman. 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 S. Herman. The network helps show where Daniel S. Herman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel S. Herman, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 103 | |
| 2 | 2020 | 87 | |
| 3 | 2011 | 71 | |
| 4 | 2017 | 52 | |
| 5 | 2021 | 50 | |
| 6 | 2009 | 48 | |
| 7 | 2020 | 43 | |
| 8 | 2015 | 42 | |
| 9 | 2016 | 33 | |
| 10 | 2009 | 30 | |
| 11 | 2020 | 16 | |
| 12 | 2016 | 16 | |
| 13 | 2023 | 15 | |
| 14 | 2009 | 13 | |
| 15 | 2021 | 10 | |
| 16 | 2019 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2021 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2018 | 4 |
About Daniel S. Herman
Daniel S. Herman is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology and Surgery, having authored 33 papers that have together received 682 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (6 papers), Cardiomyopathy and Myosin Studies (4 papers), Clinical Laboratory Practices and Quality Control (3 papers), RNA Research and Splicing (3 papers), COVID-19 Clinical Research Studies (3 papers), RNA and protein synthesis mechanisms (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and COVID-19 and healthcare impacts (3 papers). The work is most often cited by research in Health Informatics (26 citations), Cardiology and Cardiovascular Medicine (183 citations), Endocrinology, Diabetes and Metabolism (114 citations), Cancer Research (101 citations) and Health Information Management (15 citations). Daniel S. Herman has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Jonathan G. Seidman, Dina N. Greene, Jordana B. Cohen, Danos C. Christodoulou, Peter A. Kavsak, Debbie L. Cohen, Joshua Gorham, John T. Leppert, Vivek Bhalla and James Brian Byrd. Their work appears in journals such as Current Protocols in Molecular Biology, Hypertension, Clinical Chemistry, Nature Methods and Clinical Cancer Research.
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.