Jeffrey B. Madwed
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology
- Biomedical Engineering top 5%
- Physiology top 5%
- Immunology top 10%
- Co-authors
- Daniel C. ShannonR.J. CohenDavid GordonNancy SnidmanS. AkselrodRichard J. CohenRobert J. LeadleyK. L. Goetz
- Topics
- Melanoma and MAPK Pathways (8 papers)NF-κB Signaling Pathways (4 papers)Cardiovascular Function and Risk Factors (3 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrine and Autonomic SystemsComplementary and alternative medicine
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Jeffrey B. Madwed
27 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Cardiology and Cardiovascular Medicine 1.4k
- Molecular Biology 643
- Biomedical Engineering 595
- Physiology 389
- Immunology 290
Countries citing papers authored by Jeffrey B. Madwed
This map shows the geographic impact of Jeffrey B. Madwed'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 Jeffrey B. Madwed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey B. Madwed more than expected).
Fields of papers citing papers by Jeffrey B. Madwed
This network shows the impact of papers produced by Jeffrey B. Madwed. 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 Jeffrey B. Madwed. The network helps show where Jeffrey B. Madwed may publish in the future.
Co-authorship network of co-authors of Jeffrey B. Madwed
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey B. Madwed. A scholar is included among the top collaborators of Jeffrey B. Madwed 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 Jeffrey B. Madwed. Jeffrey B. Madwed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 11 | |
| 3 | 29 | |
| 4 | 20 | |
| 5 | 25 | |
| 6 | 36 | |
| 7 | 15 | |
| 8 | 10 | |
| 9 | 49 | |
| 10 | 2 | |
| 11 | 203 | |
| 12 | 287 | |
| 13 | 5 | |
| 14 | 12 | |
| 15 | 13 | |
| 16 | 15 | |
| 17 | 2 | |
| 18 | 4 | |
| 19 | 20 | |
| 20 | Hemodynamic regulation: investigation by spectral analysisbreakdown → | 1066 |
About Jeffrey B. Madwed
Jeffrey B. Madwed is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 27 papers that have together received 2.7k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (8 papers), NF-κB Signaling Pathways (4 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Endocrine and Autonomic Systems (188 citations) and Complementary and alternative medicine (171 citations). Jeffrey B. Madwed has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Daniel C. Shannon, R.J. Cohen, David Gordon, Nancy Snidman, S. Akselrod, Richard J. Cohen, Robert J. Leadley, K. L. Goetz, Roger G. Mark and Paul Albrecht. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Biochemical Journal.
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.