Daniel J. Macool
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction
- Fungal and yeast genetics research
- CRISPR and Genetic Engineering
- Molecular Biology Techniques and Applications
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 3
- Fungal and yeast genetics research 2
-
- Bacterial Identification and Susceptibility Testing 1
- Co-authors
- Zhixiong Xue (3 shared papers)Aneta Kaniak (1 shared paper)Mark Johnston (1 shared paper)Jeong‐Ho Kim (1 shared paper)Hongxiang Zhang (2 shared papers)Quinn Zhu (2 shared papers)Guo-Hua Miao (1 shared paper)Bogdan Szostek (1 shared paper)
- Journals
- Molecular Genetics and Genomics (1 paper)Eukaryotic Cell (1 paper)Nature Biotechnology (1 paper)Analytical Biochemistry (1 paper)Applied Microbiology and Biotechnology (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel J. Macool
6 papers receiving 713 citations
Peers
Comparison fields: 5 of 47
- Biochemistry 103
- Molecular Biology 579
- Renewable Energy, Sustainability and the Environment 94
- Aquatic Science 21
- Biotechnology 15
Countries citing papers authored by Daniel J. Macool
This map shows the geographic impact of Daniel J. Macool'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 Daniel J. Macool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Macool more than expected).
Fields of papers citing papers by Daniel J. Macool
This network shows the impact of papers produced by Daniel J. Macool. 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 Daniel J. Macool. The network helps show where Daniel J. Macool may publish in the future.
Co-authors
The 18 scholars most cited alongside Daniel J. Macool, 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 | 2013 | 498 | |
| 2 | 2004 | 131 | |
| 3 | 2012 | 33 | |
| 4 | 2002 | 26 | |
| 5 | 1997 | 23 | |
| 6 | 2010 | 23 |
About Daniel J. Macool
Daniel J. Macool is a scholar working on Molecular Biology, Clinical Biochemistry, Biochemistry, Nutrition and Dietetics and Food Science, having authored 6 papers that have together received 734 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (3 papers), Fungal and yeast genetics research (2 papers), Plant-Microbe Interactions and Immunity (1 paper), Salmonella and Campylobacter epidemiology (1 paper), Bacterial Identification and Susceptibility Testing (1 paper), Lipid metabolism and biosynthesis (1 paper), Biosensors and Analytical Detection (1 paper) and Fatty Acid Research and Health (1 paper). The work is most often cited by research in Biochemistry (103 citations), Molecular Biology (579 citations), Renewable Energy, Sustainability and the Environment (94 citations), Aquatic Science (21 citations) and Biotechnology (15 citations). Daniel J. Macool has collaborated with scholars based in United States. Frequent co-authors include Zhixiong Xue, Aneta Kaniak, Mark Johnston, Jeong‐Ho Kim, Hongxiang Zhang, Quinn Zhu, Guo-Hua Miao, Bogdan Szostek, Scott V. Tingey and Z X Xue. Their work appears in journals such as Molecular Genetics and Genomics, Eukaryotic Cell, Nature Biotechnology, Analytical Biochemistry and Applied Microbiology and Biotechnology.
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.