Walter F. Ward
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms 9
- Physiology top 1%
- Adipose Tissue and Metabolism 10
- Geriatrics and Gerontology top 2%
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease 8
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- Mitochondrial Function and Pathology 12
- Metabolism, Diabetes, and Cancer 6
- Ubiquitin and proteasome pathways 4
- Coenzyme Q10 studies and effects 3
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- Pancreatic function and diabetes 4
- Co-authors
- Huiyun LiangArlan RichardsonGlenn MortimoreJohn N. FainRichard H. PointerTakeji ShibataniWenbo QiHolly Van Remmen
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (5 papers)
- Partner nations
- United StatesFranceCzechia
In The Last Decade
Walter F. Ward
51 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Aging 870
- Physiology 1.8k
- Geriatrics and Gerontology 216
- Endocrine and Autonomic Systems 312
- Cell Biology 657
Countries citing papers authored by Walter F. Ward
This map shows the geographic impact of Walter F. Ward'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 Walter F. Ward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter F. Ward more than expected).
Fields of papers citing papers by Walter F. Ward
This network shows the impact of papers produced by Walter F. Ward. 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 Walter F. Ward. The network helps show where Walter F. Ward may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Walter F. Ward, 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 | 2014 | 41 | |
| 2 | 2013 | 219 | |
| 3 | Impact of caloric restriction on health and survival in rhesus monkeys from the NIA studybreakdown → | 2012 | 785 |
| 4 | 2012 | 54 | |
| 5 | 2011 | 60 | |
| 6 | 2009 | 331 | |
| 7 | 2009 | 73 | |
| 8 | 2007 | 30 | |
| 9 | 2006 | 123 | |
| 10 | 2003 | 36 | |
| 11 | 2002 | 62 | |
| 12 | 2001 | 73 | |
| 13 | 1996 | 23 | |
| 14 | 1996 | 89 | |
| 15 | 1995 | 63 | |
| 16 | 1991 | 69 | |
| 17 | 1991 | 13 | |
| 18 | The relationship between live weight, body composition and endocrine function in Border Leicester X Merino wethers. | 1990 | 0 |
| 19 | 1982 | 8 | |
| 20 | 1981 | 75 |
About Walter F. Ward
Walter F. Ward is a scholar working on Aging, Cell Biology and Biochemistry, having authored 52 papers that have together received 4.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (12 papers), Adipose Tissue and Metabolism (10 papers), Genetics, Aging, and Longevity in Model Organisms (9 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Metabolism, Diabetes, and Cancer (6 papers), Ubiquitin and proteasome pathways (4 papers), Pancreatic function and diabetes (4 papers) and Coenzyme Q10 studies and effects (3 papers). The work is most often cited by research in Aging (870 citations), Physiology (1.8k citations) and Geriatrics and Gerontology (216 citations). Walter F. Ward has collaborated with scholars based in United States, France and Czechia. Frequent co-authors include Huiyun Liang, Arlan Richardson, Glenn Mortimore, John N. Fain, Richard H. Pointer, Takeji Shibatani, Wenbo Qi, Holly Van Remmen, Julie A. Mattison and Richard Herbert. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.