Daniel L. Siehl
- Pollution top 5%
- Pesticide and Herbicide Environmental Studies 5
- Plant Science top 5%
- Weed Control and Herbicide Applications 7
- Plant nutrient uptake and metabolism 3
- Molecular Biology top 10%
- Plant tissue culture and regeneration 12
- Biochemical and Molecular Research 5
- Metabolomics and Mass Spectrometry Studies 3
- Plant Gene Expression Analysis 3
- Cell Biology top 10%
- Muscle metabolism and nutrition 4
- Biochemistry top 10%
- Co-authors
- Howard E. MorganBalvin H.L. ChuaE. SchönbrunnLoredano PollegioniLinda A. CastlePaul BernasconiMani SubramanianRebecca Gorton
- Journals
- Journal of Biological Chemistry (5 papers)PLANT PHYSIOLOGY (4 papers)American Journal of Physiology-Endocrinology and Metabolism (4 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Daniel L. Siehl
34 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 100
- Pollution 286
- Plant Science 715
- Molecular Biology 933
- Cell Biology 178
- Biochemistry 71
Countries citing papers authored by Daniel L. Siehl
This map shows the geographic impact of Daniel L. Siehl'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 L. Siehl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel L. Siehl more than expected).
Fields of papers citing papers by Daniel L. Siehl
This network shows the impact of papers produced by Daniel L. Siehl. 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 L. Siehl. The network helps show where Daniel L. Siehl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel L. Siehl, 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 | 2021 | 16 | |
| 2 | 2021 | 9 | |
| 3 | 2018 | 24 | |
| 4 | 2018 | 21 | |
| 5 | 2017 | 7 | |
| 6 | 2014 | 57 | |
| 7 | 2011 | 149 | |
| 8 | 2007 | 54 | |
| 9 | 2005 | 22 | |
| 10 | 2005 | 41 | |
| 11 | 2004 | 246 | |
| 12 | 1996 | 59 | |
| 13 | 1996 | 22 | |
| 14 | 1996 | 34 | |
| 15 | 1995 | 206 | |
| 16 | 1994 | 19 | |
| 17 | 1988 | 42 | |
| 18 | 1986 | 15 | |
| 19 | 1985 | 78 | |
| 20 | 1979 | 167 |
About Daniel L. Siehl
Daniel L. Siehl is a scholar working on Pollution, Molecular Biology and Plant Science, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (12 papers), Weed Control and Herbicide Applications (7 papers), Biochemical and Molecular Research (5 papers), Pesticide and Herbicide Environmental Studies (5 papers), Muscle metabolism and nutrition (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Plant nutrient uptake and metabolism (3 papers) and Plant Gene Expression Analysis (3 papers). The work is most often cited by research in Pollution (286 citations), Plant Science (715 citations) and Molecular Biology (933 citations). Daniel L. Siehl has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Howard E. Morgan, Balvin H.L. Chua, E. Schönbrunn, Loredano Pollegioni, Linda A. Castle, Paul Bernasconi, Mani Subramanian, Rebecca Gorton, Barbara Rosen and Eric E. Conn. Their work appears in journals such as Journal of Biological Chemistry, PLANT PHYSIOLOGY, American Journal of Physiology-Endocrinology and Metabolism, Journal of Agricultural and Food Chemistry and Reviews of Environmental Contamination and Toxicology.
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.