Sandra D. Oland
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Immunology top 5%
- Immune responses and vaccinations
- interferon and immune responses
- Immune Response and Inflammation
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
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- Immune responses and vaccinations 3
- Immune cells in cancer 3
- interferon and immune responses 1
- IL-33, ST2, and ILC Pathways 1
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- COVID-19 Clinical Research Studies 3
- Tuberculosis Research and Epidemiology 2
- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Alan Sher (6 shared papers)Katrin D. Mayer-Barber (4 shared papers)Eduardo P. Amaral (3 shared papers)Subash Babu (1 shared paper)Clifton E. Barry (1 shared paper)Daniel L. Barber (1 shared paper)Laura E. Via (1 shared paper)Steven C. Derrick (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)The Journal of Experimental Medicine (1 paper)Nature (1 paper)Science Immunology (1 paper)mBio (1 paper)
- Partner nations
- United StatesNew ZealandChina
In The Last Decade
Sandra D. Oland
8 papers receiving 824 citations
Sandra D. Oland's Hit Papers
Peers
Comparison fields: 5 of 75
- Infectious Diseases 419
- Immunology 451
- Epidemiology 256
- Parasitology 24
- Virology 17
Countries citing papers authored by Sandra D. Oland
This map shows the geographic impact of Sandra D. Oland'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 Sandra D. Oland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra D. Oland more than expected).
Fields of papers citing papers by Sandra D. Oland
This network shows the impact of papers produced by Sandra D. Oland. 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 Sandra D. Oland. The network helps show where Sandra D. Oland may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandra D. Oland, 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 | Host-directed therapy of tuberculosis based on interleukin-1 and type I interferon crosstalk Hit paper breakdown → | 2014 | 567 |
| 2 | 2015 | 113 | |
| 3 | 2021 | 69 | |
| 4 | 2016 | 33 | |
| 5 | 2023 | 27 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 5 | |
| 8 | 2021 | 1 |
About Sandra D. Oland
Sandra D. Oland is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 8 papers that have together received 829 indexed citations. Recurring topics across this work include Immune responses and vaccinations (3 papers), COVID-19 Clinical Research Studies (3 papers), Immune cells in cancer (3 papers), Tuberculosis Research and Epidemiology (2 papers), interferon and immune responses (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), IL-33, ST2, and ILC Pathways (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Infectious Diseases (419 citations), Immunology (451 citations), Epidemiology (256 citations), Parasitology (24 citations) and Virology (17 citations). Sandra D. Oland has collaborated with scholars based in United States, New Zealand and China. Frequent co-authors include Alan Sher, Katrin D. Mayer-Barber, Eduardo P. Amaral, Subash Babu, Clifton E. Barry, Daniel L. Barber, Laura E. Via, Steven C. Derrick, Xing Yuan and Jacqueline Gonzales. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Nature, Science Immunology and mBio.
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.