Ferhaan Ahmad
- Cardiology and Cardiovascular Medicine top 0.5%
- Molecular Biology top 5%
- Surgery top 5%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Christine E. SeidmanJonathan G. SeidmanJoachim P. SchmittS. BanerjeeKenneth R. McGaffinJ G SeidmanUlrike MendeDavid H. MacLennan
- Topics
- Cardiomyopathy and Myosin Studies (22 papers)Cardiovascular Effects of Exercise (12 papers)Metabolism, Diabetes, and Cancer (10 papers)
- Cited by
- Cardiology and Cardiovascular MedicineMolecular BiologyEndocrinology, Diabetes and Metabolism
- Partner nations
- United StatesCanadaChina
In The Last Decade
Ferhaan Ahmad
59 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Cardiology and Cardiovascular Medicine 2.2k
- Molecular Biology 2.2k
- Surgery 602
- Physiology 520
- Endocrinology, Diabetes and Metabolism 404
Countries citing papers authored by Ferhaan Ahmad
This map shows the geographic impact of Ferhaan Ahmad'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 Ferhaan Ahmad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ferhaan Ahmad more than expected).
Fields of papers citing papers by Ferhaan Ahmad
This network shows the impact of papers produced by Ferhaan Ahmad. 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 Ferhaan Ahmad. The network helps show where Ferhaan Ahmad may publish in the future.
Co-authorship network of co-authors of Ferhaan Ahmad
This figure shows the co-authorship network connecting the top 25 collaborators of Ferhaan Ahmad. A scholar is included among the top collaborators of Ferhaan Ahmad based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ferhaan Ahmad. Ferhaan Ahmad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 54 | |
| 4 | 61 | |
| 5 | 44 | |
| 6 | 7 | |
| 7 | Abstract 20770: A Novel Mini-Pig Genetic Model of Hypertrophic Cardiomyopathy: Altered Myofilament Dynamics, Hyper-Contractility, and Impaired Systolic/Diastolic Functional Reserve in vivo | 2 |
| 8 | 17 | |
| 9 | 52 | |
| 10 | 16 | |
| 11 | 83 | |
| 12 | 10 | |
| 13 | 27 | |
| 14 | 174 | |
| 15 | 47 | |
| 16 | 129 | |
| 17 | 30 | |
| 18 | 88 | |
| 19 | 417 | |
| 20 | 91 |
About Ferhaan Ahmad
Ferhaan Ahmad is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Orthopedics and Sports Medicine, having authored 61 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (22 papers), Cardiovascular Effects of Exercise (12 papers) and Metabolism, Diabetes, and Cancer (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.2k citations), Molecular Biology (2.2k citations) and Endocrinology, Diabetes and Metabolism (404 citations). Ferhaan Ahmad has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Christine E. Seidman, Jonathan G. Seidman, Joachim P. Schmitt, S. Banerjee, Kenneth R. McGaffin, J G Seidman, Ulrike Mende, David H. MacLennan, Michio Asahi and Linda L. Bachinski. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.