Chad Bennett
Impact in
- Organic Chemistry top 5%
- Carbohydrate Chemistry and Synthesis
- Synthetic Organic Chemistry Methods
- Biotechnology top 5%
Papers in
-
- Carbohydrate Chemistry and Synthesis 7
- Synthetic Organic Chemistry Methods 4
-
- Glycosylation and Glycoproteins Research 3
- Biochemical and Molecular Research 2
- Co-authors
- William Roush (6 shared papers)David J. Hart (2 shared papers)Peixuan Guo (1 shared paper)Hongran Yin (1 shared paper)Hongzhi Wang (1 shared paper)Huang‐Ge Zhang (1 shared paper)Zhefeng Li (1 shared paper)Philip J. Elving (4 shared papers)
- Journals
- Journal of the American Chemical Society (5 papers)Analytical Chemistry (3 papers)Organic Letters (3 papers)Scientific Reports (2 papers)Cancers (2 papers)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Chad Bennett
33 papers receiving 963 citations
Peers
Comparison fields: 5 of 97
- Organic Chemistry 567
- Biotechnology 104
- Cancer Research 134
- Molecular Biology 539
- Pharmacology 122
Countries citing papers authored by Chad Bennett
This map shows the geographic impact of Chad Bennett'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 Chad Bennett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad Bennett more than expected).
Fields of papers citing papers by Chad Bennett
This network shows the impact of papers produced by Chad Bennett. 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 Chad Bennett. The network helps show where Chad Bennett may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad Bennett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 221 | |
| 2 | 2002 | 130 | |
| 3 | 1999 | 114 | |
| 4 | 2003 | 72 | |
| 5 | 2000 | 57 | |
| 6 | 1997 | 54 | |
| 7 | 1999 | 50 | |
| 8 | 1994 | 40 | |
| 9 | 1958 | 34 | |
| 10 | 2001 | 27 | |
| 11 | 1999 | 24 | |
| 12 | 2021 | 21 | |
| 13 | 1958 | 20 | |
| 14 | 1954 | 20 | |
| 15 | 1995 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 2022 | 15 | |
| 18 | 2017 | 14 | |
| 19 | 1954 | 14 | |
| 20 | 2006 | 13 |
About Chad Bennett
Chad Bennett is a scholar working on Organic Chemistry, Molecular Biology, Oncology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (7 papers), Estrogen and related hormone effects (5 papers), Synthetic Organic Chemistry Methods (4 papers), Glycosylation and Glycoproteins Research (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Biochemical and Molecular Research (2 papers) and Electrochemical Analysis and Applications (2 papers). The work is most often cited by research in Organic Chemistry (567 citations), Biotechnology (104 citations), Cancer Research (134 citations), Molecular Biology (539 citations) and Pharmacology (122 citations). Chad Bennett has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include William Roush, David J. Hart, Peixuan Guo, Hongran Yin, Hongzhi Wang, Huang‐Ge Zhang, Zhefeng Li, Philip J. Elving, Stephen. Dal Nogare and James A. Marshall. Their work appears in journals such as Journal of the American Chemical Society, Analytical Chemistry, Organic Letters, Scientific Reports and Cancers.
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.