Daryl L. Richie
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 7
- Infectious Diseases top 10%
- Antifungal resistance and susceptibility 5
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease 6
- Endocrinology top 10%
- Pharmacology top 10%
- Microbial Natural Products and Biosynthesis 3
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- Fungal and yeast genetics research 7
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- Bacterial Genetics and Biotechnology 6
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- Autophagy in Disease and Therapy 4
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- Microbial Inactivation Methods 3
- Co-authors
- David S. AskewJudith C. RhodesKevin K. FullerMarta FeldmesserVishukumar AimaniandaLukas HartlJean‐Paul LatgéKarthik Krishnan
- Journals
- PLoS ONE (2 papers)Journal of Bacteriology (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Daryl L. Richie
22 papers receiving 769 citations
Peers
Comparison fields: 5 of 66
- Molecular Medicine 104
- Infectious Diseases 228
- Cell Biology 181
- Endocrinology 48
- Pharmacology 113
Countries citing papers authored by Daryl L. Richie
This map shows the geographic impact of Daryl L. Richie'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 Daryl L. Richie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daryl L. Richie more than expected).
Fields of papers citing papers by Daryl L. Richie
This network shows the impact of papers produced by Daryl L. Richie. 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 Daryl L. Richie. The network helps show where Daryl L. Richie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daryl L. Richie, 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 | 2018 | 7 | |
| 2 | 2018 | 18 | |
| 3 | 2017 | 22 | |
| 4 | 2016 | 32 | |
| 5 | 2016 | 3 | |
| 6 | 2015 | 20 | |
| 7 | 2013 | 35 | |
| 8 | 2013 | 22 | |
| 9 | 2012 | 18 | |
| 10 | 2012 | 21 | |
| 11 | 2011 | 88 | |
| 12 | 2011 | 40 | |
| 13 | 2010 | 4 | |
| 14 | 2010 | 43 | |
| 15 | 2009 | 145 | |
| 16 | 2008 | 11 | |
| 17 | 2008 | 12 | |
| 18 | 2008 | 8 | |
| 19 | 2007 | 94 | |
| 20 | 2006 | 76 |
About Daryl L. Richie
Daryl L. Richie is a scholar working on Molecular Medicine, Endocrinology and Cell Biology, having authored 22 papers that have together received 776 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (7 papers), Fungal and yeast genetics research (7 papers), Bacterial Genetics and Biotechnology (6 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Antifungal resistance and susceptibility (5 papers), Autophagy in Disease and Therapy (4 papers), Microbial Inactivation Methods (3 papers) and Microbial Natural Products and Biosynthesis (3 papers). The work is most often cited by research in Molecular Medicine (104 citations), Infectious Diseases (228 citations) and Cell Biology (181 citations). Daryl L. Richie has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include David S. Askew, Judith C. Rhodes, Kevin K. Fuller, Marta Feldmesser, Vishukumar Aimanianda, Lukas Hartl, Jean‐Paul Latgé, Karthik Krishnan, Xizhi Feng and Charles R. Dean. Their work appears in journals such as PLoS ONE, Journal of Bacteriology and Methods in enzymology on CD-ROM/Methods in enzymology.
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.