David Flores‐Solis
Impact in
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- RNA Research and Splicing
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- vaccines and immunoinformatics approaches
- Ion channel regulation and function
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 2
- Signaling Pathways in Disease 2
- RNA and protein synthesis mechanisms 2
- Co-authors
- Markus Zweckstetter (5 shared papers)Nikolaos G. Sgourakis (4 shared papers)Jacek Biernat (1 shared paper)Harindranath Kadavath (1 shared paper)Eckhard Mandelkow� (1 shared paper)Adriana Savastano (1 shared paper)Andrew C. McShan (3 shared papers)Jugmohit Toor (3 shared papers)
- Journals
- Nature Communications (3 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)Nature Chemical Biology (1 paper)Biological Chemistry (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- GermanyUnited StatesMexico
In The Last Decade
David Flores‐Solis
12 papers receiving 464 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 347
- Immunology 100
- Virology 14
- Microbiology 15
- Cell Biology 29
Countries citing papers authored by David Flores‐Solis
This map shows the geographic impact of David Flores‐Solis'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 David Flores‐Solis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Flores‐Solis more than expected).
Fields of papers citing papers by David Flores‐Solis
This network shows the impact of papers produced by David Flores‐Solis. 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 David Flores‐Solis. The network helps show where David Flores‐Solis may publish in the future.
Co-authors
The 25 scholars most cited alongside David Flores‐Solis, 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 | 2018 | 132 | |
| 2 | 2020 | 79 | |
| 3 | 2018 | 70 | |
| 4 | 2012 | 48 | |
| 5 | 2019 | 47 | |
| 6 | 2023 | 29 | |
| 7 | 2020 | 26 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 9 | |
| 10 | 2014 | 8 | |
| 11 | 2023 | 4 | |
| 12 | 2020 | 2 |
About David Flores‐Solis
David Flores‐Solis is a scholar working on Molecular Biology, Cell Biology, Immunology, Genetics and Infectious Diseases, having authored 12 papers that have together received 467 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers), Genomics and Chromatin Dynamics (2 papers), Signaling Pathways in Disease (2 papers), Venomous Animal Envenomation and Studies (2 papers), RNA and protein synthesis mechanisms (2 papers) and Amoebic Infections and Treatments (1 paper). The work is most often cited by research in Molecular Biology (347 citations), Immunology (100 citations), Virology (14 citations), Microbiology (15 citations) and Cell Biology (29 citations). David Flores‐Solis has collaborated with scholars based in Germany, United States and Mexico. Frequent co-authors include Markus Zweckstetter, Nikolaos G. Sgourakis, Jacek Biernat, Harindranath Kadavath, Eckhard Mandelkow�, Adriana Savastano, Andrew C. McShan, Jugmohit Toor, Aniruddha Sahasrabuddhe and Peilong Lu. Their work appears in journals such as Nature Communications, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Nature Chemical Biology, Biological Chemistry and Nature Structural & Molecular Biology.
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.