Brian D. Aevermann
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- Single-cell and spatial transcriptomics 9
- Extracellular vesicles in disease 3
- Heat shock proteins research 3
- Biomedical Text Mining and Ontologies 2
- Bioinformatics and Genomic Networks 2
-
- Cell Image Analysis Techniques 5
- Co-authors
- Elizabeth R. Waters (3 shared papers)Richard H. Scheuermann (13 shared papers)Mark Novotny (6 shared papers)Jeremy A. Miller (7 shared papers)Ed S. Lein (7 shared papers)Trygve E. Bakken (5 shared papers)Rebecca D. Hodge (4 shared papers)Yun Zhang (4 shared papers)
- Journals
- Scientific Reports (2 papers)Cell Stress and Chaperones (2 papers)PLANT PHYSIOLOGY (1 paper)Human Molecular Genetics (1 paper)Genetica (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Brian D. Aevermann
16 papers receiving 368 citations
Peers
Comparison fields: 5 of 80
- Aging 14
- Biophysics 36
- Molecular Biology 297
- Cancer Research 38
- Insect Science 31
Countries citing papers authored by Brian D. Aevermann
This map shows the geographic impact of Brian D. Aevermann'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 Brian D. Aevermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian D. Aevermann more than expected).
Fields of papers citing papers by Brian D. Aevermann
This network shows the impact of papers produced by Brian D. Aevermann. 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 Brian D. Aevermann. The network helps show where Brian D. Aevermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian D. Aevermann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 137 | |
| 2 | 2021 | 38 | |
| 3 | 2018 | 33 | |
| 4 | 2007 | 32 | |
| 5 | 2017 | 27 | |
| 6 | 2015 | 19 | |
| 7 | 2021 | 19 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 10 | |
| 10 | 2020 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2005 | 5 | |
| 15 | 2016 | 4 | |
| 16 | 2022 | 3 |
About Brian D. Aevermann
Brian D. Aevermann is a scholar working on Molecular Biology, Biophysics, Cancer Research, Ecology and Neurology, having authored 16 papers that have together received 373 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (9 papers), Cell Image Analysis Techniques (5 papers), Extracellular vesicles in disease (3 papers), Heat shock proteins research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Biomedical Text Mining and Ontologies (2 papers), Bioinformatics and Genomic Networks (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Aging (14 citations), Biophysics (36 citations), Molecular Biology (297 citations), Cancer Research (38 citations) and Insect Science (31 citations). Brian D. Aevermann has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Elizabeth R. Waters, Richard H. Scheuermann, Mark Novotny, Jeremy A. Miller, Ed S. Lein, Trygve E. Bakken, Rebecca D. Hodge, Yun Zhang, Roger S. Lasken and Alexandra Lee. Their work appears in journals such as Scientific Reports, Cell Stress and Chaperones, PLANT PHYSIOLOGY, Human Molecular Genetics and Genetica.
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.