Jeffrey C. Way
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms 10
- Molecular Biology top 1%
- CRISPR and Genetic Engineering 24
- Microbial Metabolic Engineering and Bioproduction 16
- RNA and protein synthesis mechanisms 13
- Gene Regulatory Network Analysis 10
- Photosynthetic Processes and Mechanisms 6
- Genetics top 1%
- Bacterial Genetics and Biotechnology 14
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- Bacteriophages and microbial interactions 9
- Co-authors
- Pamela A. SilverMartin ChalfieDaniel C. DucatNancy KlecknerDonald MorisatoMichael A. DavisDenise E. RobertsS. Jordan Kerns
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Jeffrey C. Way
84 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Aging 613
- Molecular Biology 5.0k
- Renewable Energy, Sustainability and the Environment 731
- Endocrine and Autonomic Systems 299
- Genetics 1.2k
Countries citing papers authored by Jeffrey C. Way
This map shows the geographic impact of Jeffrey C. Way'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 Jeffrey C. Way with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey C. Way more than expected).
Fields of papers citing papers by Jeffrey C. Way
This network shows the impact of papers produced by Jeffrey C. Way. 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 Jeffrey C. Way. The network helps show where Jeffrey C. Way may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey C. Way, 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 | 2023 | 10 | |
| 2 | 2022 | 11 | |
| 3 | 2021 | 3 | |
| 4 | 2020 | 54 | |
| 5 | 2019 | 35 | |
| 6 | 2018 | 1 | |
| 7 | 2017 | 275 | |
| 8 | 2014 | 6 | |
| 9 | 2012 | 267 | |
| 10 | 2011 | 366 | |
| 11 | 2010 | 177 | |
| 12 | 2008 | 1 | |
| 13 | 2007 | 10 | |
| 14 | 2005 | 28 | |
| 15 | 2000 | 38 | |
| 16 | Establishment and cost analysis of an office surgical suite. | 1996 | 3 |
| 17 | 1996 | 6 | |
| 18 | 1996 | 4 | |
| 19 | 1993 | 205 | |
| 20 | 1990 | 16 |
About Jeffrey C. Way
Jeffrey C. Way is a scholar working on Aging, Molecular Biology and Genetics, having authored 84 papers that have together received 6.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (24 papers), Microbial Metabolic Engineering and Bioproduction (16 papers), Bacterial Genetics and Biotechnology (14 papers), RNA and protein synthesis mechanisms (13 papers), Genetics, Aging, and Longevity in Model Organisms (10 papers), Gene Regulatory Network Analysis (10 papers), Bacteriophages and microbial interactions (9 papers) and Photosynthetic Processes and Mechanisms (6 papers). The work is most often cited by research in Aging (613 citations), Molecular Biology (5.0k citations) and Renewable Energy, Sustainability and the Environment (731 citations). Jeffrey C. Way has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Pamela A. Silver, Martin Chalfie, Daniel C. Ducat, Nancy Kleckner, Donald Morisato, Michael A. Davis, Denise E. Roberts, S. Jordan Kerns, J. Abraham Avelar‐Rivas and Jonathan W. Kotula. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.