Daniel W. Widlicka
Impact in
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- Catalytic C–H Functionalization Methods
- Catalytic Cross-Coupling Reactions
- Sulfur-Based Synthesis Techniques
- Nanomaterials for catalytic reactions
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- Asymmetric Hydrogenation and Catalysis
Papers in
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- Catalytic Cross-Coupling Reactions 5
- Catalytic C–H Functionalization Methods 5
- Sulfur-Based Synthesis Techniques 2
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- Fluorine in Organic Chemistry 3
- Co-authors
- Robert A. Singer (4 shared papers)Cheryl M. Hayward (3 shared papers)John C. Murray (2 shared papers)Bryan Li (2 shared papers)Yanqiao Xiang (1 shared paper)Joseph M. Young (1 shared paper)Christopher D. Incarvito (2 shared papers)Edward H. Wong (3 shared papers)
- Journals
- Organic Process Research & Development (9 papers)Inorganica Chimica Acta (2 papers)Organic Letters (1 paper)Cell Reports Physical Science (1 paper)Synlett (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Daniel W. Widlicka
14 papers receiving 179 citations
Peers
Comparison fields: 5 of 30
- Organic Chemistry 133
- Inorganic Chemistry 45
- Pharmaceutical Science 17
- Biomedical Engineering 46
- Molecular Biology 52
Countries citing papers authored by Daniel W. Widlicka
This map shows the geographic impact of Daniel W. Widlicka'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 W. Widlicka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Widlicka more than expected).
Fields of papers citing papers by Daniel W. Widlicka
This network shows the impact of papers produced by Daniel W. Widlicka. 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 W. Widlicka. The network helps show where Daniel W. Widlicka may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel W. Widlicka, 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 | 2012 | 47 | |
| 2 | 2019 | 41 | |
| 3 | 2021 | 25 | |
| 4 | 2021 | 14 | |
| 5 | 2024 | 9 | |
| 6 | 2000 | 8 | |
| 7 | 2016 | 7 | |
| 8 | 2021 | 6 | |
| 9 | 2012 | 6 | |
| 10 | 2010 | 6 | |
| 11 | 2019 | 5 | |
| 12 | 2009 | 4 | |
| 13 | 2002 | 3 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 |
About Daniel W. Widlicka
Daniel W. Widlicka is a scholar working on Organic Chemistry, Pharmaceutical Science, Oncology, Inorganic Chemistry and Molecular Biology, having authored 15 papers that have together received 182 indexed citations. Recurring topics across this work include Catalytic Cross-Coupling Reactions (5 papers), Catalytic C–H Functionalization Methods (5 papers), Fluorine in Organic Chemistry (3 papers), Metal complexes synthesis and properties (3 papers), Sulfur-Based Synthesis Techniques (2 papers), Metal-Organic Frameworks: Synthesis and Applications (2 papers), Chemical Synthesis and Analysis (2 papers) and Magnetism in coordination complexes (1 paper). The work is most often cited by research in Organic Chemistry (133 citations), Inorganic Chemistry (45 citations), Pharmaceutical Science (17 citations), Biomedical Engineering (46 citations) and Molecular Biology (52 citations). Daniel W. Widlicka has collaborated with scholars based in United States and China. Frequent co-authors include Robert A. Singer, Cheryl M. Hayward, John C. Murray, Bryan Li, Yanqiao Xiang, Joseph M. Young, Christopher D. Incarvito, Edward H. Wong, Roger D. Sommer and Gary R. Weisman. Their work appears in journals such as Organic Process Research & Development, Inorganica Chimica Acta, Organic Letters, Cell Reports Physical Science and Synlett.
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.