Daniel Kaganovich
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 1%
- Endoplasmic Reticulum Stress and Disease
Papers in
- Aging 2
- Cell Biology 16
- Endoplasmic Reticulum Stress and Disease 10
- Co-authors
- Judith FrydmanRon R. KopitoTriana AmenStephen J. TamAmie J. McClellanAlexei F. KisselevAlfred L. GoldbergJeremy L. England
- Journals
- Cell Reports (4 papers)Scientific Reports (3 papers)Developmental Cell (3 papers)Proceedings of the National Academy of Sciences (3 papers)PLoS Genetics (2 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Daniel Kaganovich
39 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Aging 194
- Cell Biology 907
- Molecular Biology 1.9k
- Neurology 257
- Cellular and Molecular Neuroscience 282
Countries citing papers authored by Daniel Kaganovich
This map shows the geographic impact of Daniel Kaganovich'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 Kaganovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kaganovich more than expected).
Fields of papers citing papers by Daniel Kaganovich
This network shows the impact of papers produced by Daniel Kaganovich. 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 Kaganovich. The network helps show where Daniel Kaganovich may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Kaganovich, 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 | 2025 | 2 | |
| 2 | 2022 | 14 | |
| 3 | 2021 | 9 | |
| 4 | 2021 | 46 | |
| 5 | 2020 | 5 | |
| 6 | 2020 | 8 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 40 | |
| 9 | 2018 | 9 | |
| 10 | 2017 | 46 | |
| 11 | 2016 | 16 | |
| 12 | 2015 | 5 | |
| 13 | 2015 | 6 | |
| 14 | 2014 | 37 | |
| 15 | 2013 | 22 | |
| 16 | 2013 | 4 | |
| 17 | 2012 | 158 | |
| 18 | Misfolded proteins partition between two distinct quality control compartments Hit paper breakdown → | 2008 | 747 |
| 19 | 2005 | 226 | |
| 20 | 2002 | 149 |
About Daniel Kaganovich
Daniel Kaganovich is a scholar working on Aging, Cell Biology, Biophysics, Molecular Biology and Cellular and Molecular Neuroscience, having authored 39 papers that have together received 2.5k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (10 papers), Fungal and yeast genetics research (9 papers), RNA Research and Splicing (9 papers), Genetic Neurodegenerative Diseases (8 papers), Ubiquitin and proteasome pathways (5 papers), Mitochondrial Function and Pathology (4 papers), RNA modifications and cancer (4 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Aging (194 citations), Cell Biology (907 citations), Molecular Biology (1.9k citations), Neurology (257 citations) and Cellular and Molecular Neuroscience (282 citations). Daniel Kaganovich has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Judith Frydman, Ron R. Kopito, Triana Amen, Stephen J. Tam, Amie J. McClellan, Alexei F. Kisselev, Alfred L. Goldberg, Jeremy L. England, Ofer Moldavski and Maya Schuldiner. Their work appears in journals such as Cell Reports, Scientific Reports, Developmental Cell, Proceedings of the National Academy of Sciences and PLoS Genetics.
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.