Frances P. Rodriguez‐Rivera
- Organic Chemistry top 5%
- Click Chemistry and Applications 5
- Cell Biology top 10%
- Biotin and Related Studies 2
- Structural Biology top 10%
- Molecular Medicine top 10%
- Infectious Diseases top 10%
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- Bacterial Genetics and Biotechnology 4
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- Monoclonal and Polyclonal Antibodies Research 4
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- Glycosylation and Glycoproteins Research 3
- Protein Degradation and Inhibitors 3
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- Bacteriophages and microbial interactions 3
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- Cell Image Analysis Techniques 2
- Co-authors
- Carolyn R. BertozziDavid W. C. MacMillanJacob B. GeriDann L. ParkerJames V. OakleyJulie A. TheriotXiaoxue ZhouOlugbeminiyi Fadeyi
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (3 papers)
- Partner nations
- United StatesSouth AfricaGermany
In The Last Decade
Frances P. Rodriguez‐Rivera
13 papers receiving 841 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Organic Chemistry 399
- Cell Biology 196
- Structural Biology 14
- Molecular Medicine 38
- Infectious Diseases 124
Countries citing papers authored by Frances P. Rodriguez‐Rivera
This map shows the geographic impact of Frances P. Rodriguez‐Rivera'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 Frances P. Rodriguez‐Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frances P. Rodriguez‐Rivera more than expected).
Fields of papers citing papers by Frances P. Rodriguez‐Rivera
This network shows the impact of papers produced by Frances P. Rodriguez‐Rivera. 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 Frances P. Rodriguez‐Rivera. The network helps show where Frances P. Rodriguez‐Rivera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frances P. Rodriguez‐Rivera, 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 | 2023 | 33 | |
| 2 | 2022 | 91 | |
| 3 | 2022 | 58 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 21 | |
| 6 | Microenvironment mapping via Dexter energy transfer on immune cellsbreakdown → | 2020 | 267 |
| 7 | 2019 | 32 | |
| 8 | 2019 | 42 | |
| 9 | 2018 | 115 | |
| 10 | 2018 | 1 | |
| 11 | 2018 | 27 | |
| 12 | 2017 | 84 | |
| 13 | 2016 | 70 |
About Frances P. Rodriguez‐Rivera
Frances P. Rodriguez‐Rivera is a scholar working on Biophysics, Organic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 846 indexed citations. Recurring topics across this work include Click Chemistry and Applications (5 papers), Bacterial Genetics and Biotechnology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Bacteriophages and microbial interactions (3 papers), Protein Degradation and Inhibitors (3 papers), Biotin and Related Studies (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Organic Chemistry (399 citations), Cell Biology (196 citations) and Structural Biology (14 citations). Frances P. Rodriguez‐Rivera has collaborated with scholars based in United States, South Africa and Germany. Frequent co-authors include Carolyn R. Bertozzi, David W. C. MacMillan, Jacob B. Geri, Dann L. Parker, James V. Oakley, Julie A. Theriot, Xiaoxue Zhou, Olugbeminiyi Fadeyi, Rob Oslund and Cory White. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.