Sarah E. Hall
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Agronomy and Crop Science top 1%
- Animal Disease Management and Epidemiology
Papers in
-
- CRISPR and Genetic Engineering 4
- Aging 13
- Genetics, Aging, and Longevity in Model Organisms 13
- Co-authors
- Edgar B. Cahoon (5 shared papers)Kevin G. Ripp (4 shared papers)Charles R. M. Bangham (8 shared papers)Jonathan Weber (5 shared papers)Graham P. Taylor (4 shared papers)Anthony J. Kinney (3 shared papers)Daphne Preuss (4 shared papers)Mitsuhiro Osame (4 shared papers)
- Journals
- Genetics (3 papers)Proceedings of the National Academy of Sciences (2 papers)Genome (2 papers)Current Biology (2 papers)PLANT PHYSIOLOGY (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Sarah E. Hall
44 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 111
- Aging 213
- Agronomy and Crop Science 616
- Immunology 1.0k
- Biochemistry 291
- Ecology, Evolution, Behavior and Systematics 587
Countries citing papers authored by Sarah E. Hall
This map shows the geographic impact of Sarah E. Hall'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 Sarah E. Hall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah E. Hall more than expected).
Fields of papers citing papers by Sarah E. Hall
This network shows the impact of papers produced by Sarah E. Hall. 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 Sarah E. Hall. The network helps show where Sarah E. Hall may publish in the future.
Co-authors
The 25 scholars most cited alongside Sarah E. Hall, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 328 | |
| 2 | 2003 | 262 | |
| 3 | 2000 | 234 | |
| 4 | 1998 | 187 | |
| 5 | 1994 | 169 | |
| 6 | 1999 | 142 | |
| 7 | 1998 | 111 | |
| 8 | 2003 | 98 | |
| 9 | 1999 | 95 | |
| 10 | 2002 | 88 | |
| 11 | 2000 | 85 | |
| 12 | 2010 | 80 | |
| 13 | 2001 | 77 | |
| 14 | 1996 | 74 | |
| 15 | 1999 | 69 | |
| 16 | 2000 | 69 | |
| 17 | 2004 | 68 | |
| 18 | 2000 | 50 | |
| 19 | 2001 | 49 | |
| 20 | 2004 | 45 |
About Sarah E. Hall
Sarah E. Hall is a scholar working on Molecular Biology, Aging, Immunology, Agronomy and Crop Science and Endocrine and Autonomic Systems, having authored 45 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (13 papers), T-cell and Retrovirus Studies (8 papers), Animal Disease Management and Epidemiology (8 papers), Vector-Borne Animal Diseases (7 papers), Circadian rhythm and melatonin (7 papers), Lipid metabolism and biosynthesis (4 papers), Chromosomal and Genetic Variations (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Aging (213 citations), Agronomy and Crop Science (616 citations), Immunology (1.0k citations), Biochemistry (291 citations) and Ecology, Evolution, Behavior and Systematics (587 citations). Sarah E. Hall has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Edgar B. Cahoon, Kevin G. Ripp, Charles R. M. Bangham, Jonathan Weber, Graham P. Taylor, Anthony J. Kinney, Daphne Preuss, Mitsuhiro Osame, Koichiro Usuku and Loretta D. Spotila. Their work appears in journals such as Genetics, Proceedings of the National Academy of Sciences, Genome, Current Biology and PLANT PHYSIOLOGY.
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.