Harold E. Smith
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 5%
- Fungal and yeast genetics research
- CRISPR and Genetic Engineering
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
Papers in
-
- CRISPR and Genetic Engineering 11
- Fungal and yeast genetics research 6
- Cancer therapeutics and mechanisms 3
- Aging 22
- Genetics, Aging, and Longevity in Model Organisms 22
- Co-authors
- Aaron P. Mitchell (7 shared papers)Samuel Ward (2 shared papers)V Reinke (1 shared paper)Jeremy Nance (1 shared paper)Rebecca Begley (1 shared paper)Stuart K. Kim (1 shared paper)John Wang (1 shared paper)Steven J.M. Jones (1 shared paper)
- Journals
- Molecular and Cellular Biology (6 papers)G3 Genes Genomes Genetics (5 papers)Genetics (5 papers)PLoS Genetics (3 papers)Current Biology (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Harold E. Smith
59 papers receiving 2.4k citations
Harold E. Smith's Hit Papers
Peers
Comparison fields: 5 of 126
- Aging 807
- Molecular Biology 1.7k
- Genetics 526
- Endocrine and Autonomic Systems 108
- Cell Biology 244
Countries citing papers authored by Harold E. Smith
This map shows the geographic impact of Harold E. Smith'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 Harold E. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harold E. Smith more than expected).
Fields of papers citing papers by Harold E. Smith
This network shows the impact of papers produced by Harold E. Smith. 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 Harold E. Smith. The network helps show where Harold E. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Harold E. Smith, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Global Profile of Germline Gene Expression in C. elegans Hit paper breakdown → | 2000 | 513 |
| 2 | 2014 | 223 | |
| 3 | 1989 | 165 | |
| 4 | 1990 | 120 | |
| 5 | 2009 | 111 | |
| 6 | 2014 | 105 | |
| 7 | 1990 | 98 | |
| 8 | 2012 | 78 | |
| 9 | 1993 | 67 | |
| 10 | 2012 | 65 | |
| 11 | 2008 | 64 | |
| 12 | 2020 | 50 | |
| 13 | 2008 | 48 | |
| 14 | 1989 | 45 | |
| 15 | 1990 | 39 | |
| 16 | 2012 | 38 | |
| 17 | 2019 | 38 | |
| 18 | 2013 | 33 | |
| 19 | 2012 | 33 | |
| 20 | 1998 | 33 |
About Harold E. Smith
Harold E. Smith is a scholar working on Molecular Biology, Aging, Genetics, Plant Science and Biomedical Engineering, having authored 62 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (22 papers), CRISPR and Genetic Engineering (11 papers), Fungal and yeast genetics research (6 papers), Biofuel production and bioconversion (6 papers), Animal Genetics and Reproduction (5 papers), Reproductive Biology and Fertility (5 papers), Evolution and Genetic Dynamics (4 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Aging (807 citations), Molecular Biology (1.7k citations), Genetics (526 citations), Endocrine and Autonomic Systems (108 citations) and Cell Biology (244 citations). Harold E. Smith has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Aaron P. Mitchell, Samuel Ward, V Reinke, Jeremy Nance, Rebecca Begley, Stuart K. Kim, John Wang, Steven J.M. Jones, Madhura Kulkarni and Stewart Scherer. Their work appears in journals such as Molecular and Cellular Biology, G3 Genes Genomes Genetics, Genetics, PLoS Genetics and Current 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.