William J. Netzer
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Aging top 5%
Papers in
-
- Protein Structure and Dynamics 4
- Amyloidosis: Diagnosis, Treatment, Outcomes 4
- Heat shock proteins research 3
- Physiology 13
- Alzheimer's disease research and treatments 13
- Co-authors
- F. Ulrich Hartl (3 shared papers)Huaxi Xu (8 shared papers)Paul Greengard (9 shared papers)Fei Dou (3 shared papers)Gunnar K. Gouras (2 shared papers)Akihiko Takashima (2 shared papers)Kentaro Tanemura (1 shared paper)Feng Li (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (7 papers)Nature Biotechnology (6 papers)PLoS ONE (2 papers)Nature (2 papers)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
William J. Netzer
29 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 110
- Physiology 979
- Aging 53
- Complementary and alternative medicine 219
- Neurology 217
- Cell Biology 384
Countries citing papers authored by William J. Netzer
This map shows the geographic impact of William J. Netzer'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 William J. Netzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Netzer more than expected).
Fields of papers citing papers by William J. Netzer
This network shows the impact of papers produced by William J. Netzer. 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 William J. Netzer. The network helps show where William J. Netzer may publish in the future.
Co-authors
The 25 scholars most cited alongside William J. Netzer, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 382 | |
| 2 | 1997 | 329 | |
| 3 | 2002 | 328 | |
| 4 | 2010 | 265 | |
| 5 | 2003 | 201 | |
| 6 | 1998 | 186 | |
| 7 | 2003 | 157 | |
| 8 | 2007 | 97 | |
| 9 | 2006 | 92 | |
| 10 | 2006 | 84 | |
| 11 | 2010 | 60 | |
| 12 | 2013 | 57 | |
| 13 | 2009 | 32 | |
| 14 | 2017 | 30 | |
| 15 | 2017 | 23 | |
| 16 | 2012 | 20 | |
| 17 | 2016 | 17 | |
| 18 | 2019 | 7 | |
| 19 | 2003 | 6 | |
| 20 | 1964 | 4 |
About William J. Netzer
William J. Netzer is a scholar working on Molecular Biology, Physiology, Cell Biology, Plant Science and Pharmacology, having authored 29 papers that have together received 2.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (13 papers), Cellular transport and secretion (6 papers), Protein Structure and Dynamics (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Heat shock proteins research (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Physiology (979 citations), Aging (53 citations), Complementary and alternative medicine (219 citations), Neurology (217 citations) and Cell Biology (384 citations). William J. Netzer has collaborated with scholars based in United States, Germany and China. Frequent co-authors include F. Ulrich Hartl, Huaxi Xu, Paul Greengard, Fei Dou, Gunnar K. Gouras, Akihiko Takashima, Kentaro Tanemura, Feng Li, Fred S. Gorelick and Dongming Cai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology, PLoS ONE, Nature and Journal of Medicinal Chemistry.
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.