Dane A. Goff
- Molecular Biology top 5%
- Photosynthetic Processes and Mechanisms 14
- Chemical Synthesis and Analysis 7
- Metabolism, Diabetes, and Cancer 4
- Organic Chemistry top 5%
- Synthesis and Characterization of Heterocyclic Compounds 4
- Carbohydrate Chemistry and Synthesis 4
- Immunology top 10%
- Toxin Mechanisms and Immunotoxins 4
- Microbiology top 10%
- Inorganic Chemistry top 10%
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- Porphyrin and Phthalocyanine Chemistry 12
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- Analytical Chemistry and Chromatography 4
- Co-authors
- Kevin M. SmithRonald N. ZuckermannDaniel J. SimpsonRaymond J. AbrahamPeter H. GilliganFrederick W. HendersonJohn M. NussKirk W. Johnson
- Journals
- Journal of the American Chemical Society (10 papers)Tetrahedron Letters (7 papers)The Journal of Organic Chemistry (7 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Dane A. Goff
56 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 1.4k
- Organic Chemistry 569
- Immunology 373
- Microbiology 68
- Inorganic Chemistry 149
Countries citing papers authored by Dane A. Goff
This map shows the geographic impact of Dane A. Goff'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 Dane A. Goff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dane A. Goff more than expected).
Fields of papers citing papers by Dane A. Goff
This network shows the impact of papers produced by Dane A. Goff. 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 Dane A. Goff. The network helps show where Dane A. Goff may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dane A. Goff, 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 | 2022 | 2 | |
| 2 | 2017 | 9 | |
| 3 | 2017 | 13 | |
| 4 | 2010 | 429 | |
| 5 | 2008 | 6 | |
| 6 | 1998 | 6 | |
| 7 | 1996 | 14 | |
| 8 | 1994 | 12 | |
| 9 | 1991 | 13 | |
| 10 | 1991 | 16 | |
| 11 | 1991 | 2 | |
| 12 | 1990 | 20 | |
| 13 | 1989 | 25 | |
| 14 | 1989 | 21 | |
| 15 | 1988 | 142 | |
| 16 | 1986 | 4 | |
| 17 | 1985 | 34 | |
| 18 | 1985 | 37 | |
| 19 | 1985 | 36 | |
| 20 | バクテリオクロロフィルc,dおよびeのアニオンラジカル 緑色およびかっ色光合成細菌の初期光化学の電子受容体様物質 | 1983 | 10 |
About Dane A. Goff
Dane A. Goff is a scholar working on Organic Chemistry, Molecular Biology and Spectroscopy, having authored 57 papers that have together received 2.5k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (14 papers), Porphyrin and Phthalocyanine Chemistry (12 papers), Chemical Synthesis and Analysis (7 papers), Synthesis and Characterization of Heterocyclic Compounds (4 papers), Analytical Chemistry and Chromatography (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Toxin Mechanisms and Immunotoxins (4 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Organic Chemistry (569 citations) and Immunology (373 citations). Dane A. Goff has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Kevin M. Smith, Ronald N. Zuckermann, Daniel J. Simpson, Raymond J. Abraham, Peter H. Gilligan, Frederick W. Henderson, John M. Nuss, Kirk W. Johnson, Stephen D. Harrison and Erik J. Henriksen. Their work appears in journals such as Journal of the American Chemical Society, Tetrahedron Letters, The Journal of Organic Chemistry, Journal of Medicinal Chemistry and Bioorganic & Medicinal Chemistry Letters.
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.