Daniel L. Levy
Impact in
- Aging top 5%
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
Papers in
-
- Nuclear Structure and Function 31
- RNA Research and Splicing 29
- Genomics and Chromatin Dynamics 26
- DNA Repair Mechanisms 8
- Renal and related cancers 3
- Cell Biology 14
- Microtubule and mitosis dynamics 11
- Co-authors
- Predrag Jevtić (13 shared papers)Rebecca Heald (3 shared papers)Judith L. Campbell (5 shared papers)Lisa J. Edens (7 shared papers)Rajiv Dua (4 shared papers)Elizabeth H. Blackburn (2 shared papers)Pan Chen (9 shared papers)Lidija Vuković (4 shared papers)
- Journals
- Molecular Biology of the Cell (7 papers)Journal of Biological Chemistry (6 papers)Scientific Reports (3 papers)Arthroplasty Today (3 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Daniel L. Levy
52 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 113
- Aging 82
- Cell Biology 494
- Molecular Biology 1.6k
- Cancer Research 92
- Physiology 145
Countries citing papers authored by Daniel L. Levy
This map shows the geographic impact of Daniel L. Levy'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 L. Levy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel L. Levy more than expected).
Fields of papers citing papers by Daniel L. Levy
This network shows the impact of papers produced by Daniel L. Levy. 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 L. Levy. The network helps show where Daniel L. Levy may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel L. Levy, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 192 | |
| 2 | 1999 | 171 | |
| 3 | 2014 | 150 | |
| 4 | 2014 | 102 | |
| 5 | 2004 | 102 | |
| 6 | 2011 | 102 | |
| 7 | 2012 | 97 | |
| 8 | 1998 | 76 | |
| 9 | 2003 | 76 | |
| 10 | 2016 | 70 | |
| 11 | 2014 | 63 | |
| 12 | 2015 | 57 | |
| 13 | 2003 | 55 | |
| 14 | 2019 | 51 | |
| 15 | 2017 | 51 | |
| 16 | 2020 | 44 | |
| 17 | 2015 | 41 | |
| 18 | 2002 | 40 | |
| 19 | 2000 | 39 | |
| 20 | 2014 | 37 |
About Daniel L. Levy
Daniel L. Levy is a scholar working on Molecular Biology, Cell Biology, Surgery, Ecology and Physiology, having authored 56 papers that have together received 2.0k indexed citations. Recurring topics across this work include Nuclear Structure and Function (31 papers), RNA Research and Splicing (29 papers), Genomics and Chromatin Dynamics (26 papers), Microtubule and mitosis dynamics (11 papers), DNA Repair Mechanisms (8 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Renal and related cancers (3 papers) and Total Knee Arthroplasty Outcomes (3 papers). The work is most often cited by research in Aging (82 citations), Cell Biology (494 citations), Molecular Biology (1.6k citations), Cancer Research (92 citations) and Physiology (145 citations). Daniel L. Levy has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Predrag Jevtić, Rebecca Heald, Judith L. Campbell, Lisa J. Edens, Rajiv Dua, Elizabeth H. Blackburn, Pan Chen, Lidija Vuković, Xiaoyang Li and Karen H. White. Their work appears in journals such as Molecular Biology of the Cell, Journal of Biological Chemistry, Scientific Reports, Arthroplasty Today and Molecular and Cellular Biology.
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.