Alison M. Bland
- Cardiology and Cardiovascular Medicine
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Nephrology top 10%
- Infectious Diseases
- Co-authors
- Michael G. JanechJohn M. ArthurJuan Carlos Q. VelezJohn R. RaymondJonas S. AlmeidaSally SelfRomesh StanislausJim C. Oates
- Topics
- Advanced Proteomics Techniques and Applications (3 papers)Viral Infections and Vectors (3 papers)Renin-Angiotensin System Studies (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaKidney InternationalHypertension
- Partner nations
- United StatesCanadaMalaysia
In The Last Decade
Alison M. Bland
14 papers receiving 310 citations
Peers
Comparison fields: 5 of 68
- Cardiology and Cardiovascular Medicine 105
- Molecular Biology 99
- Endocrinology, Diabetes and Metabolism 77
- Nephrology 57
- Infectious Diseases 44
Countries citing papers authored by Alison M. Bland
This map shows the geographic impact of Alison M. Bland'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 Alison M. Bland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alison M. Bland more than expected).
Fields of papers citing papers by Alison M. Bland
This network shows the impact of papers produced by Alison M. Bland. 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 Alison M. Bland. The network helps show where Alison M. Bland may publish in the future.
Co-authorship network of co-authors of Alison M. Bland
This figure shows the co-authorship network connecting the top 25 collaborators of Alison M. Bland. A scholar is included among the top collaborators of Alison M. Bland 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 Alison M. Bland. Alison M. Bland 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 | 1 | |
| 3 | 3 | |
| 4 | 13 | |
| 5 | 6 | |
| 6 | 20 | |
| 7 | 31 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 33 | |
| 11 | Sources of variability among replicate samples separated by two-dimensional gel electrophoresis. | 8 |
| 12 | 45 | |
| 13 | 74 | |
| 14 | Comparison of variability associated with sample preparation in two-dimensional gel electrophoresis of cardiac tissue. | 7 |
| 15 | 59 |
About Alison M. Bland
Alison M. Bland is a scholar working on Virology, Environmental Chemistry and Spectroscopy, having authored 15 papers that have together received 318 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Viral Infections and Vectors (3 papers) and Renin-Angiotensin System Studies (3 papers). The work is most often cited by research in Nephrology (57 citations), Endocrinology, Diabetes and Metabolism (77 citations) and Cardiology and Cardiovascular Medicine (105 citations). Alison M. Bland has collaborated with scholars based in United States, Canada and Malaysia. Frequent co-authors include Michael G. Janech, John M. Arthur, Juan Carlos Q. Velez, John R. Raymond, Jonas S. Almeida, Sally Self, Romesh Stanislaus, Jim C. Oates, Benjamin A. Neely and Kevin J. Ryan. Their work appears in journals such as SHILAP Revista de lepidopterología, Kidney International and Hypertension.
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.