Tim Schedl
Impact in
- Aging top 0.01%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin
Papers in
- Aging 65
- Genetics, Aging, and Longevity in Model Organisms 65
-
- CRISPR and Genetic Engineering 16
- Pluripotent Stem Cells Research 14
- Epigenetics and DNA Methylation 8
- Co-authors
- Ross S. Francis (6 shared papers)Thanh Dang (3 shared papers)James P. McCarter (4 shared papers)Dave Hansen (8 shared papers)Bart M. Bartlett (2 shared papers)Minho Lee (6 shared papers)Sudhir Nayak (9 shared papers)Qiang Wang (12 shared papers)
- Journals
- Genetics (12 papers)Development (7 papers)Cell (5 papers)Developmental Biology (5 papers)Advances in experimental medicine and biology (4 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Tim Schedl
94 papers receiving 7.3k citations
Peers
Comparison fields: 5 of 128
- Aging 4.0k
- Endocrine and Autonomic Systems 1.0k
- Molecular Biology 4.3k
- Public Health, Environmental and Occupational Health 1.8k
- Cell Biology 744
Countries citing papers authored by Tim Schedl
This map shows the geographic impact of Tim Schedl'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 Tim Schedl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Schedl more than expected).
Fields of papers citing papers by Tim Schedl
This network shows the impact of papers produced by Tim Schedl. 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 Tim Schedl. The network helps show where Tim Schedl may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Schedl, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 468 | |
| 2 | 1999 | 412 | |
| 3 | 2001 | 335 | |
| 4 | 1995 | 319 | |
| 5 | 2008 | 309 | |
| 6 | 2012 | 286 | |
| 7 | 1996 | 242 | |
| 8 | 1997 | 213 | |
| 9 | 1997 | 210 | |
| 10 | 2005 | 179 | |
| 11 | 2011 | 170 | |
| 12 | 2009 | 164 | |
| 13 | 1995 | 161 | |
| 14 | 2007 | 160 | |
| 15 | 2001 | 155 | |
| 16 | 2003 | 139 | |
| 17 | 2000 | 136 | |
| 18 | 2004 | 132 | |
| 19 | 2011 | 126 | |
| 20 | 1996 | 121 |
About Tim Schedl
Tim Schedl is a scholar working on Aging, Molecular Biology, Public Health, Environmental and Occupational Health, Endocrine and Autonomic Systems and Genetics, having authored 95 papers that have together received 7.4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (65 papers), Reproductive Biology and Fertility (33 papers), CRISPR and Genetic Engineering (16 papers), Pluripotent Stem Cells Research (14 papers), Circadian rhythm and melatonin (11 papers), Epigenetics and DNA Methylation (8 papers), Microtubule and mitosis dynamics (7 papers) and Birth, Development, and Health (7 papers). The work is most often cited by research in Aging (4.0k citations), Endocrine and Autonomic Systems (1.0k citations), Molecular Biology (4.3k citations), Public Health, Environmental and Occupational Health (1.8k citations) and Cell Biology (744 citations). Tim Schedl has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Ross S. Francis, Thanh Dang, James P. McCarter, Dave Hansen, Bart M. Bartlett, Minho Lee, Sudhir Nayak, Qiang Wang, Judith Kimble and Kelle H. Moley. Their work appears in journals such as Genetics, Development, Cell, Developmental Biology and Advances in experimental medicine and 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.