Jaime de Anda
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Endocrinology top 10%
- Vibrio bacteria research studies
Papers in
-
- Bacterial biofilms and quorum sensing 8
- Lipid Membrane Structure and Behavior 3
- Protein Structure and Dynamics 2
-
- Antimicrobial Peptides and Activities 7
- Co-authors
- Gerard C. L. Wong (24 shared papers)Calvin K. Lee (7 shared papers)Ernest Y. Lee (9 shared papers)Kun Zhao (3 shared papers)George A. O’Toole (6 shared papers)Anthony R. Poteete (1 shared paper)Robert T. Sauer (1 shared paper)Rachel R. Bennett (4 shared papers)
- Journals
- ACS Nano (3 papers)mBio (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Jaime de Anda
25 papers receiving 645 citations
Peers
Comparison fields: 5 of 104
- Microbiology 82
- Endocrinology 63
- Periodontics 30
- Molecular Biology 444
- Molecular Medicine 29
Countries citing papers authored by Jaime de Anda
This map shows the geographic impact of Jaime de Anda'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 Jaime de Anda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime de Anda more than expected).
Fields of papers citing papers by Jaime de Anda
This network shows the impact of papers produced by Jaime de Anda. 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 Jaime de Anda. The network helps show where Jaime de Anda may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaime de Anda, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 126 | |
| 2 | 2018 | 123 | |
| 3 | 2020 | 58 | |
| 4 | 1983 | 55 | |
| 5 | 2020 | 46 | |
| 6 | 2020 | 38 | |
| 7 | 2017 | 25 | |
| 8 | 2016 | 21 | |
| 9 | 2022 | 18 | |
| 10 | 2020 | 18 | |
| 11 | 2016 | 17 | |
| 12 | 2020 | 13 | |
| 13 | 2022 | 13 | |
| 14 | 2023 | 11 | |
| 15 | 2020 | 11 | |
| 16 | 2020 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2020 | 9 | |
| 19 | 2019 | 8 | |
| 20 | 2022 | 7 |
About Jaime de Anda
Jaime de Anda is a scholar working on Molecular Biology, Microbiology, Ecology, Immunology and Condensed Matter Physics, having authored 26 papers that have together received 654 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (8 papers), Antimicrobial Peptides and Activities (7 papers), Micro and Nano Robotics (4 papers), Immune Response and Inflammation (4 papers), Lipid Membrane Structure and Behavior (3 papers), Bacteriophages and microbial interactions (3 papers), Microfluidic and Bio-sensing Technologies (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Microbiology (82 citations), Endocrinology (63 citations), Periodontics (30 citations), Molecular Biology (444 citations) and Molecular Medicine (29 citations). Jaime de Anda has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Gerard C. L. Wong, Calvin K. Lee, Ernest Y. Lee, Kun Zhao, George A. O’Toole, Anthony R. Poteete, Robert T. Sauer, Rachel R. Bennett, Ramin Golestanian and Çağla Tükel. Their work appears in journals such as ACS Nano, mBio, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Frontiers in Immunology.
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.