John Tower
Impact in
- Aging top 0.05%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
- Aging 61
- Genetics, Aging, and Longevity in Model Organisms 61
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- Neurobiology and Insect Physiology Research 25
- Co-authors
- Gary N. Landis (26 shared papers)Barbara Sollner-Webb (10 shared papers)Jing‐Tao Sun (3 shared papers)Kelvin J.A. Davies (9 shared papers)Jie Shen (11 shared papers)Simon Tavaré (11 shared papers)Steven E. Finkel (2 shared papers)Timothy J. Bradley (2 shared papers)
- Journals
- Molecular and Cellular Biology (11 papers)The Journals of Gerontology Series A (8 papers)Aging (8 papers)Experimental Gerontology (6 papers)Genetics (6 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
John Tower
109 papers receiving 6.7k citations
Peers
Comparison fields: 5 of 155
- Aging 2.3k
- Endocrine and Autonomic Systems 396
- Cellular and Molecular Neuroscience 1.0k
- Insect Science 668
- Molecular Biology 3.6k
Countries citing papers authored by John Tower
This map shows the geographic impact of John Tower'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 John Tower with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Tower more than expected).
Fields of papers citing papers by John Tower
This network shows the impact of papers produced by John Tower. 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 John Tower. The network helps show where John Tower may publish in the future.
Co-authors
The 25 scholars most cited alongside John Tower, 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 413 | |
| 2 | 2004 | 388 | |
| 3 | 2015 | 349 | |
| 4 | 2002 | 341 | |
| 5 | 2004 | 322 | |
| 6 | 1986 | 308 | |
| 7 | 2007 | 289 | |
| 8 | 1993 | 217 | |
| 9 | 2016 | 194 | |
| 10 | 1995 | 158 | |
| 11 | 2010 | 135 | |
| 12 | 2007 | 118 | |
| 13 | 2006 | 114 | |
| 14 | 2012 | 113 | |
| 15 | 2012 | 113 | |
| 16 | 1999 | 107 | |
| 17 | 1987 | 105 | |
| 18 | 1997 | 100 | |
| 19 | 2020 | 99 | |
| 20 | 2017 | 98 |
About John Tower
John Tower is a scholar working on Aging, Cellular and Molecular Neuroscience, Molecular Biology, Immunology and Insect Science, having authored 111 papers that have together received 6.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (61 papers), Neurobiology and Insect Physiology Research (25 papers), Invertebrate Immune Response Mechanisms (18 papers), Heat shock proteins research (16 papers), Genomics and Chromatin Dynamics (14 papers), Physiological and biochemical adaptations (12 papers), Circadian rhythm and melatonin (7 papers) and DNA Repair Mechanisms (7 papers). The work is most often cited by research in Aging (2.3k citations), Endocrine and Autonomic Systems (396 citations), Cellular and Molecular Neuroscience (1.0k citations), Insect Science (668 citations) and Molecular Biology (3.6k citations). John Tower has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Gary N. Landis, Barbara Sollner-Webb, Jing‐Tao Sun, Kelvin J.A. Davies, Jie Shen, Simon Tavaré, Steven E. Finkel, Timothy J. Bradley, Donna G. Folk and J. Craig Wheeler. Their work appears in journals such as Molecular and Cellular Biology, The Journals of Gerontology Series A, Aging, Experimental Gerontology and 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.