Nezam Haider
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Immunology top 5%
- Surgery top 10%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Jagat NarulaRenu VirmaniFrank D. KolodgieG. William DecRoger J. HajjarBan-An KhawMarc J. SemigranUlrich Schmidt
- Topics
- Cell death mechanisms and regulation (9 papers)Viral Infections and Immunology Research (5 papers)Medical Imaging Techniques and Applications (3 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNature Medicine
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Nezam Haider
29 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.6k
- Cardiology and Cardiovascular Medicine 1.1k
- Immunology 530
- Surgery 491
- Pathology and Forensic Medicine 404
Countries citing papers authored by Nezam Haider
This map shows the geographic impact of Nezam Haider'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 Nezam Haider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nezam Haider more than expected).
Fields of papers citing papers by Nezam Haider
This network shows the impact of papers produced by Nezam Haider. 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 Nezam Haider. The network helps show where Nezam Haider may publish in the future.
Co-authorship network of co-authors of Nezam Haider
This figure shows the co-authorship network connecting the top 25 collaborators of Nezam Haider. A scholar is included among the top collaborators of Nezam Haider 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 Nezam Haider. Nezam Haider 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 | 35 | |
| 3 | 134 | |
| 4 | 13 | |
| 5 | 28 | |
| 6 | 51 | |
| 7 | 63 | |
| 8 | 17 | |
| 9 | 33 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 43 | |
| 14 | 47 | |
| 15 | 283 | |
| 16 | 16 | |
| 17 | 14 | |
| 18 | 1 | |
| 19 | Apoptosis in Myocytes in End-Stage Heart Failurebreakdown → | 1141 |
| 20 | 7 |
About Nezam Haider
Nezam Haider is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Allergy and Molecular Biology, having authored 29 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (9 papers), Viral Infections and Immunology Research (5 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Immunology (530 citations) and Molecular Biology (1.6k citations). Nezam Haider has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Jagat Narula, Renu Virmani, Frank D. Kolodgie, G. William Dec, Roger J. Hajjar, Ban-An Khaw, Marc J. Semigran, Ulrich Schmidt, Jagat Narula and Navneet Narula. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature Medicine.
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.