Daniel J. Klionsky
- Epidemiology top 0.01%
- Autophagy in Disease and Therapy 381
- Physiology top 0.01%
- Calcium signaling and nucleotide metabolism 36
- Cell Biology top 0.01%
- Endoplasmic Reticulum Stress and Disease 155
- Cellular transport and secretion 111
- Aging top 0.05%
- Geriatrics and Gerontology top 0.05%
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- Fungal and yeast genetics research 35
- Mitochondrial Function and Pathology 28
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- Toxoplasma gondii Research Studies 34
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- Cannabis and Cannabinoid Research 29
- Co-authors
- Beth LevineScott D. EmrZhifen YangNoboru MizushimaCongcong HeAna María CuervoTakahiro ShintaniTomohiro Yorimitsu
- Cited by
- EpidemiologyPhysiologyCell Biology
- Partner nations
- United StatesChinaFrance
In The Last Decade
Daniel J. Klionsky
507 papers receiving 81.2k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Epidemiology 51.1k
- Physiology 6.5k
- Cell Biology 21.3k
- Aging 1.4k
- Geriatrics and Gerontology 2.7k
Countries citing papers authored by Daniel J. Klionsky
This map shows the geographic impact of Daniel J. Klionsky'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 J. Klionsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Klionsky more than expected).
Fields of papers citing papers by Daniel J. Klionsky
This network shows the impact of papers produced by Daniel J. Klionsky. 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 J. Klionsky. The network helps show where Daniel J. Klionsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel J. Klionsky, 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 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 22 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 25 | |
| 8 | 2021 | 20 | |
| 9 | 2019 | 18 | |
| 10 | 2019 | 80 | |
| 11 | 2018 | 58 | |
| 12 | 2016 | 35 | |
| 13 | 2013 | 78 | |
| 14 | 2012 | 88 | |
| 15 | 2010 | 211 | |
| 16 | 2010 | 147 | |
| 17 | 2008 | 52 | |
| 18 | 2008 | 151 | |
| 19 | Guidelines for the use and interpretation of assays for monitoring autophagy in higher eukaryotesbreakdown → | 2008 | 1846 |
| 20 | 2008 | 117 |
About Daniel J. Klionsky
Daniel J. Klionsky is a scholar working on Cell Biology, Epidemiology and Physiology, having authored 519 papers that have together received 81.9k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (381 papers), Endoplasmic Reticulum Stress and Disease (155 papers), Cellular transport and secretion (111 papers), Calcium signaling and nucleotide metabolism (36 papers), Fungal and yeast genetics research (35 papers), Toxoplasma gondii Research Studies (34 papers), Cannabis and Cannabinoid Research (29 papers) and Mitochondrial Function and Pathology (28 papers). The work is most often cited by research in Epidemiology (51.1k citations), Physiology (6.5k citations) and Cell Biology (21.3k citations). Daniel J. Klionsky has collaborated with scholars based in United States, China and France. Frequent co-authors include Beth Levine, Scott D. Emr, Zhifen Yang, Noboru Mizushima, Congcong He, Ana María Cuervo, Takahiro Shintani, Tomohiro Yorimitsu, Zhiping Xie and Daolin Tang. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.