Ana E. Brennand
Impact in
- Epidemiology top 1%
- Autophagy in Disease and Therapy
- Trypanosoma species research and implications
- Aging top 10%
Papers in
- Epidemiology 12
- Trypanosoma species research and implications 8
- Autophagy in Disease and Therapy 4
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- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Paul A.M. Michels (8 shared papers)Melisa Gualdrón‐López (4 shared papers)Daniel John Rigden (4 shared papers)Isabelle Coppens (2 shared papers)Michael L. Ginger (2 shared papers)Stefan Richard Bornstein (5 shared papers)Frédéric Bringaud (2 shared papers)Eva Rico (2 shared papers)
- Journals
- Nature Communications (2 papers)Autophagy (2 papers)PLoS ONE (2 papers)Frontiers in Medicine (1 paper)Cell Reports (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Ana E. Brennand
22 papers receiving 4.3k citations
Ana E. Brennand's Hit Papers
Peers
Comparison fields: 5 of 108
- Epidemiology 1.7k
- Aging 13
- Cell Biology 82
- Behavioral Neuroscience 14
- Neurology 97
Countries citing papers authored by Ana E. Brennand
This map shows the geographic impact of Ana E. Brennand'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 Ana E. Brennand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana E. Brennand more than expected).
Fields of papers citing papers by Ana E. Brennand
This network shows the impact of papers produced by Ana E. Brennand. 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 Ana E. Brennand. The network helps show where Ana E. Brennand may publish in the future.
Co-authors
The 25 scholars most cited alongside Ana E. Brennand, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy Hit paper breakdown → | 2012 | 3543 |
| 2 | 2011 | 142 | |
| 3 | 2020 | 108 | |
| 4 | 2011 | 104 | |
| 5 | 2011 | 79 | |
| 6 | 2018 | 69 | |
| 7 | 2013 | 57 | |
| 8 | 2012 | 47 | |
| 9 | 2018 | 44 | |
| 10 | 2018 | 32 | |
| 11 | 2012 | 31 | |
| 12 | 2012 | 23 | |
| 13 | 2018 | 23 | |
| 14 | 2022 | 23 | |
| 15 | 2022 | 23 | |
| 16 | 2015 | 18 | |
| 17 | 2018 | 14 | |
| 18 | 2021 | 10 | |
| 19 | 2023 | 10 | |
| 20 | 2012 | 4 |
About Ana E. Brennand
Ana E. Brennand is a scholar working on Epidemiology, Infectious Diseases, Endocrinology, Diabetes and Metabolism, Surgery and Nuclear Energy and Engineering, having authored 22 papers that have together received 4.4k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (8 papers), Autophagy in Disease and Therapy (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Pancreatic function and diabetes (1 paper) and Adrenal Hormones and Disorders (1 paper). The work is most often cited by research in Epidemiology (1.7k citations), Aging (13 citations), Cell Biology (82 citations), Behavioral Neuroscience (14 citations) and Neurology (97 citations). Ana E. Brennand has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Paul A.M. Michels, Melisa Gualdrón‐López, Daniel John Rigden, Isabelle Coppens, Michael L. Ginger, Stefan Richard Bornstein, Frédéric Bringaud, Eva Rico, Luisana Avilán and Wilfredo A. Quiñones. Their work appears in journals such as Nature Communications, Autophagy, PLoS ONE, Frontiers in Medicine and Cell Reports.
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.