Mia J. Smith
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
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- Diabetes Management and Research
Papers in
- Immunology 16
- T-cell and B-cell Immunology 14
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 3
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- Diabetes Management and Research 10
- Co-authors
- John C. CambierKimber M. SimmonsPeter A. GottliebLoren CordainAndrew GetahunShannon O’NeillRochelle M. HinmanMarynette Rihanek
- Journals
- Frontiers in Immunology (3 papers)The Journal of Immunology (3 papers)Diabetes (2 papers)The Journal of Experimental Medicine (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Mia J. Smith
36 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 101
- Immunology 469
- Endocrinology, Diabetes and Metabolism 207
- Genetics 336
- Genetics 91
- Surgery 213
Countries citing papers authored by Mia J. Smith
This map shows the geographic impact of Mia J. Smith'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 Mia J. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mia J. Smith more than expected).
Fields of papers citing papers by Mia J. Smith
This network shows the impact of papers produced by Mia J. Smith. 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 Mia J. Smith. The network helps show where Mia J. Smith may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mia J. Smith, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 16 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 8 | |
| 10 | 2020 | 22 | |
| 11 | 2019 | 45 | |
| 12 | 2018 | 20 | |
| 13 | 2017 | 118 | |
| 14 | 2017 | 40 | |
| 15 | 2014 | 25 | |
| 16 | 2011 | 127 | |
| 17 | 2004 | 21 | |
| 18 | 2000 | 66 | |
| 19 | Chemokines and matrix metalloproteinase expression in rheumatoid arthritis (RA) patients achieving remission | 2000 | 0 |
| 20 | 1995 | 2 |
About Mia J. Smith
Mia J. Smith is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism, Genetics, Behavioral Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Diabetes and associated disorders (16 papers), T-cell and B-cell Immunology (14 papers), Diabetes Management and Research (10 papers), Pancreatic function and diabetes (9 papers), Immune Cell Function and Interaction (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Immunotherapy and Immune Responses (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Immunology (469 citations), Endocrinology, Diabetes and Metabolism (207 citations), Genetics (336 citations), Genetics (91 citations) and Surgery (213 citations). Mia J. Smith has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include John C. Cambier, Kimber M. Simmons, Peter A. Gottlieb, Loren Cordain, Andrew Getahun, Shannon O’Neill, Rochelle M. Hinman, Marynette Rihanek, Thomas Packard and Matthew S. Hickey. Their work appears in journals such as Frontiers in Immunology, The Journal of Immunology, Diabetes, The Journal of Experimental Medicine and Journal of Visualized Experiments.
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.