Alexander Blood
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience
- Endocrinology, Diabetes and Metabolism
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Benjamin M. SciricaKavishwar B. WagholikarThomas A. GazianoAkshay S. DesaiChristina FischerCalum A. MacRaeJorge PlutzkySamuel Aronson
- Topics
- Blood Pressure and Hypertension Studies (8 papers)Diabetes Treatment and Management (5 papers)Cardiac pacing and defibrillation studies (3 papers)
- Journals
- JAMACirculationSHILAP Revista de lepidopterología
- Partner nations
- United StatesAustraliaPhilippines
In The Last Decade
Alexander Blood
32 papers receiving 445 citations
Peers
Comparison fields: 5 of 85
- Cardiology and Cardiovascular Medicine 182
- Molecular Biology 50
- Cellular and Molecular Neuroscience 46
- Endocrinology, Diabetes and Metabolism 42
- Radiology, Nuclear Medicine and Imaging 41
Countries citing papers authored by Alexander Blood
This map shows the geographic impact of Alexander Blood'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 Alexander Blood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Blood more than expected).
Fields of papers citing papers by Alexander Blood
This network shows the impact of papers produced by Alexander Blood. 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 Alexander Blood. The network helps show where Alexander Blood may publish in the future.
Co-authorship network of co-authors of Alexander Blood
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Blood. A scholar is included among the top collaborators of Alexander Blood 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 Alexander Blood. Alexander Blood 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 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 32 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 54 | |
| 16 | 19 | |
| 17 | 12 | |
| 18 | 11 | |
| 19 | 18 | |
| 20 | 58 |
About Alexander Blood
Alexander Blood is a scholar working on Family Practice, Health Information Management and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 455 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (8 papers), Diabetes Treatment and Management (5 papers) and Cardiac pacing and defibrillation studies (3 papers). The work is most often cited by research in Health Informatics (17 citations), Family Practice (27 citations) and Applied Microbiology and Biotechnology (17 citations). Alexander Blood has collaborated with scholars based in United States, Australia and Philippines. Frequent co-authors include Benjamin M. Scirica, Kavishwar B. Wagholikar, Thomas A. Gaziano, Akshay S. Desai, Christina Fischer, Calum A. MacRae, Jorge Plutzky, Samuel Aronson, Dipan J. Shah and Igor Klem. Their work appears in journals such as JAMA, Circulation and SHILAP Revista de lepidopterología.
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.