Mariana J. Kaplan
- Immunology top 0.05%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 89
- Atherosclerosis and Cardiovascular Diseases 43
- Immune Cell Function and Interaction 23
- Immune Response and Inflammation 23
- T-cell and B-cell Immunology 20
- Rheumatology top 0.05%
- Systemic Lupus Erythematosus Research 82
- Immunology and Allergy top 0.2%
- Cell Adhesion Molecules Research 26
- Molecular Biology top 0.5%
- Inflammasome and immune disorders 36
- Hematology top 1%
- Co-authors
- Carmelo Carmona‐RiveraSrilakshmi YalavarthiMarko RadicJ. Michelle KahlenbergWenpu ZhaoJason S. KnightCarolyne K. SmithSarthak Gupta
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (4 papers)The Lancet (1 paper)
- Partner nations
- United StatesMexicoCanada
In The Last Decade
Mariana J. Kaplan
226 papers receiving 20.1k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Immunology 14.0k
- Rheumatology 5.5k
- Immunology and Allergy 1.6k
- Molecular Biology 6.5k
- Hematology 867
Countries citing papers authored by Mariana J. Kaplan
This map shows the geographic impact of Mariana J. Kaplan'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 Mariana J. Kaplan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariana J. Kaplan more than expected).
Fields of papers citing papers by Mariana J. Kaplan
This network shows the impact of papers produced by Mariana J. Kaplan. 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 Mariana J. Kaplan. The network helps show where Mariana J. Kaplan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mariana J. Kaplan, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 40 | |
| 6 | 2021 | 29 | |
| 7 | 2021 | 29 | |
| 8 | 2020 | 153 | |
| 9 | 2020 | 10 | |
| 10 | 2020 | 70 | |
| 11 | 2019 | 174 | |
| 12 | 2019 | 120 | |
| 13 | VDAC oligomers form mitochondrial pores to release mtDNA fragments and promote lupus-like diseasebreakdown → | 2019 | 511 |
| 14 | 2019 | 41 | |
| 15 | 2017 | 46 | |
| 16 | 2017 | 239 | |
| 17 | 2017 | 61 | |
| 18 | 2016 | 78 | |
| 19 | 2015 | 66 | |
| 20 | 2007 | 226 |
About Mariana J. Kaplan
Mariana J. Kaplan is a scholar working on Immunology, Rheumatology and Immunology and Allergy, having authored 229 papers that have together received 20.4k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (89 papers), Systemic Lupus Erythematosus Research (82 papers), Atherosclerosis and Cardiovascular Diseases (43 papers), Inflammasome and immune disorders (36 papers), Cell Adhesion Molecules Research (26 papers), Immune Cell Function and Interaction (23 papers), Immune Response and Inflammation (23 papers) and T-cell and B-cell Immunology (20 papers). The work is most often cited by research in Immunology (14.0k citations), Rheumatology (5.5k citations) and Immunology and Allergy (1.6k citations). Mariana J. Kaplan has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Carmelo Carmona‐Rivera, Srilakshmi Yalavarthi, Marko Radic, J. Michelle Kahlenberg, Wenpu Zhao, Jason S. Knight, Carolyne K. Smith, Sarthak Gupta, W. Joseph McCune and Luz P. Blanco. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.
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.