Maricela Ramirez
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
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- Immunotherapy and Immune Responses
- Atherosclerosis and Cardiovascular Diseases
Papers in
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- RNA Interference and Gene Delivery 3
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- Nanoparticle-Based Drug Delivery 6
- Co-authors
- Paolo Decuzzi (9 shared papers)Santosh Aryal (6 shared papers)Jaehong Key (4 shared papers)Cinzia Stigliano (5 shared papers)Minjung Cho (2 shared papers)Anna Lisa Palange (3 shared papers)Jun Wang (2 shared papers)Willa A. Hsueh (2 shared papers)
- Journals
- Advanced Functional Materials (2 papers)Journal of Controlled Release (2 papers)Monthly Notices of the Royal Astronomical Society (1 paper)Advanced Science (1 paper)Cancer Letters (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Maricela Ramirez
20 papers receiving 547 citations
Peers
Comparison fields: 5 of 89
- Biomaterials 162
- Immunology 98
- Biomedical Engineering 188
- Molecular Biology 177
- Cancer Research 35
Countries citing papers authored by Maricela Ramirez
This map shows the geographic impact of Maricela Ramirez'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 Maricela Ramirez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maricela Ramirez more than expected).
Fields of papers citing papers by Maricela Ramirez
This network shows the impact of papers produced by Maricela Ramirez. 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 Maricela Ramirez. The network helps show where Maricela Ramirez may publish in the future.
Co-authors
The 25 scholars most cited alongside Maricela Ramirez, 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 | 2012 | 76 | |
| 2 | 2015 | 65 | |
| 3 | 2017 | 53 | |
| 4 | 2013 | 47 | |
| 5 | 2015 | 47 | |
| 6 | 2015 | 38 | |
| 7 | 2017 | 37 | |
| 8 | 2017 | 33 | |
| 9 | 2016 | 28 | |
| 10 | 2021 | 27 | |
| 11 | 2014 | 23 | |
| 12 | 2021 | 21 | |
| 13 | 2018 | 19 | |
| 14 | 2021 | 15 | |
| 15 | 2014 | 14 | |
| 16 | 2023 | 5 | |
| 17 | 2022 | 2 | |
| 18 | Tumor HGF lacks prognostic significance in Mexican breast cancer patients. | 2006 | 2 |
| 19 | 2019 | 1 | |
| 20 | 2024 | 1 |
About Maricela Ramirez
Maricela Ramirez is a scholar working on Molecular Biology, Biomaterials, Immunology, Epidemiology and Biomedical Engineering, having authored 20 papers that have together received 554 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (6 papers), RNA Interference and Gene Delivery (3 papers), Immunotherapy and Immune Responses (3 papers), Nanoplatforms for cancer theranostics (3 papers), Gamma-ray bursts and supernovae (2 papers), Lanthanide and Transition Metal Complexes (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Biomaterials (162 citations), Immunology (98 citations), Biomedical Engineering (188 citations), Molecular Biology (177 citations) and Cancer Research (35 citations). Maricela Ramirez has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Paolo Decuzzi, Santosh Aryal, Jaehong Key, Cinzia Stigliano, Minjung Cho, Anna Lisa Palange, Jun Wang, Willa A. Hsueh, Christopher J. Lyon and Antonio Cervadoro. Their work appears in journals such as Advanced Functional Materials, Journal of Controlled Release, Monthly Notices of the Royal Astronomical Society, Advanced Science and Cancer 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.