Brian Scharf
Impact in
- Physiology top 5%
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
Papers in
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- S100 Proteins and Annexins 2
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- Autophagy in Disease and Therapy 3
- Co-authors
- Laura Santambrogio (11 shared papers)Cristina C. Clement (9 shared papers)Ana María Cuervo (4 shared papers)Antonia Follenzi (3 shared papers)Susmita Kaushik (3 shared papers)Elvira Stefania Cannizzo (2 shared papers)Edward Nieves (2 shared papers)Ilaria Potolicchio (2 shared papers)
- Journals
- Nature Communications (2 papers)Journal of Biological Chemistry (2 papers)Developmental Cell (2 papers)Scientific Reports (1 paper)Toxicology Letters (1 paper)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Brian Scharf
13 papers receiving 1.4k citations
Brian Scharf's Hit Papers
Peers
Comparison fields: 5 of 111
- Physiology 83
- Cell Biology 291
- Epidemiology 518
- Aging 19
- Geriatrics and Gerontology 38
Countries citing papers authored by Brian Scharf
This map shows the geographic impact of Brian Scharf'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 Scharf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Scharf more than expected).
Fields of papers citing papers by Brian Scharf
This network shows the impact of papers produced by Brian Scharf. 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 Scharf. The network helps show where Brian Scharf may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Scharf, 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 | Microautophagy of Cytosolic Proteins by Late Endosomes Hit paper breakdown → | 2011 | 677 |
| 2 | 2014 | 165 | |
| 3 | 2011 | 152 | |
| 4 | 2015 | 104 | |
| 5 | 2009 | 75 | |
| 6 | 2016 | 55 | |
| 7 | 2012 | 50 | |
| 8 | 2013 | 49 | |
| 9 | 2015 | 45 | |
| 10 | 2011 | 24 | |
| 11 | 2013 | 10 | |
| 12 | 2008 | 6 | |
| 13 | 2007 | 5 |
About Brian Scharf
Brian Scharf is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Surgery and Health, Toxicology and Mutagenesis, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), S100 Proteins and Annexins (2 papers), Trace Elements in Health (2 papers), Heavy Metal Exposure and Toxicity (2 papers), Orthopaedic implants and arthroplasty (2 papers), Spine and Intervertebral Disc Pathology (1 paper) and Lymphatic System and Diseases (1 paper). The work is most often cited by research in Physiology (83 citations), Cell Biology (291 citations), Epidemiology (518 citations), Aging (19 citations) and Geriatrics and Gerontology (38 citations). Brian Scharf has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Laura Santambrogio, Cristina C. Clement, Ana María Cuervo, Antonia Follenzi, Susmita Kaushik, Elvira Stefania Cannizzo, Edward Nieves, Ilaria Potolicchio, Ranjit Kumar Sahu and Neil Cobelli. Their work appears in journals such as Nature Communications, Journal of Biological Chemistry, Developmental Cell, Scientific Reports and Toxicology Letters.
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.