Daniel Peisach
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Enzyme Structure and Function 9
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- Biochemical and Molecular Research 2
- Chemical Synthesis and Analysis 2
- Co-authors
- Zhaohui Xu (4 shared papers)Dagmar Ringe (7 shared papers)Sung Hoon Back (1 shared paper)Robert L. Clark (1 shared paper)Jiahai Zhou (1 shared paper)Chuan Yin Liu (1 shared paper)Randal J. Kaufman (1 shared paper)Sami J. Barmada (2 shared papers)
- Journals
- Biochemistry (4 papers)Proceedings of the National Academy of Sciences (2 papers)Protein Science (2 papers)Protein Engineering Design and Selection (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Daniel Peisach
15 papers receiving 1.2k citations
Daniel Peisach's Hit Papers
Peers
Comparison fields: 5 of 81
- Cell Biology 361
- Neurology 271
- Biochemistry 107
- Aging 20
- Genetics 110
Countries citing papers authored by Daniel Peisach
This map shows the geographic impact of Daniel Peisach'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 Daniel Peisach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Peisach more than expected).
Fields of papers citing papers by Daniel Peisach
This network shows the impact of papers produced by Daniel Peisach. 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 Daniel Peisach. The network helps show where Daniel Peisach may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Peisach, 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 | Autophagy induction enhances TDP43 turnover and survival in neuronal ALS models Hit paper breakdown → | 2014 | 353 |
| 2 | 2006 | 290 | |
| 3 | 1997 | 120 | |
| 4 | 2015 | 98 | |
| 5 | 1998 | 74 | |
| 6 | 2003 | 62 | |
| 7 | 1993 | 56 | |
| 8 | 1998 | 45 | |
| 9 | 1993 | 37 | |
| 10 | 2004 | 36 | |
| 11 | 2005 | 20 | |
| 12 | 1999 | 15 | |
| 13 | 1998 | 12 | |
| 14 | 2019 | 10 | |
| 15 | 1995 | 7 |
About Daniel Peisach
Daniel Peisach is a scholar working on Materials Chemistry, Molecular Biology, Biochemistry, Cellular and Molecular Neuroscience and Neurology, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Enzyme Structure and Function (9 papers), Amino Acid Enzymes and Metabolism (5 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Genetic Neurodegenerative Diseases (2 papers), Autophagy in Disease and Therapy (2 papers), Biochemical and Molecular Research (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Cell Biology (361 citations), Neurology (271 citations), Biochemistry (107 citations), Aging (20 citations) and Genetics (110 citations). Daniel Peisach has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Zhaohui Xu, Dagmar Ringe, Sung Hoon Back, Robert L. Clark, Jiahai Zhou, Chuan Yin Liu, Randal J. Kaufman, Sami J. Barmada, Steven Finkbeiner and Xingli Li. Their work appears in journals such as Biochemistry, Proceedings of the National Academy of Sciences, Protein Science, Protein Engineering Design and Selection and Frontiers in Plant Science.
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.