Sandra D. Oland

1.2k total citations · 1 hit paper
8 papers, 829 citations indexed

About

Sandra D. Oland is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Sandra D. Oland has authored 8 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Infectious Diseases and 2 papers in Molecular Biology. Recurrent topics in Sandra D. Oland's work include Immune cells in cancer (3 papers), Immune responses and vaccinations (3 papers) and COVID-19 Clinical Research Studies (3 papers). Sandra D. Oland is often cited by papers focused on Immune cells in cancer (3 papers), Immune responses and vaccinations (3 papers) and COVID-19 Clinical Research Studies (3 papers). Sandra D. Oland collaborates with scholars based in United States, New Zealand and China. Sandra D. Oland's co-authors include Alan Sher, Katrin D. Mayer-Barber, Eduardo P. Amaral, Ruiru Shi, Ying Cai, Steven C. Derrick, Laura E. Via, Clifton E. Barry, Nathella Pavan Kumar and Xing Yuan and has published in prestigious journals such as Nature, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Sandra D. Oland

8 papers receiving 824 citations

Hit Papers

Host-directed therapy of tuberculosis based on interleuki... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sandra D. Oland United States 6 451 419 256 195 99 8 829
Lúcia Moreira-Teixeira Portugal 13 667 1.5× 509 1.2× 386 1.5× 164 0.8× 108 1.1× 17 1.0k
Vijaya Lakshmi Valluri India 21 412 0.9× 565 1.3× 462 1.8× 196 1.0× 149 1.5× 51 990
Sara París Colombia 15 335 0.7× 435 1.0× 305 1.2× 100 0.5× 143 1.4× 28 761
Magdalena Druszczyńska Poland 18 317 0.7× 289 0.7× 190 0.7× 221 1.1× 161 1.6× 53 733
Huiping Yan China 12 394 0.9× 452 1.1× 386 1.5× 204 1.0× 65 0.7× 48 1.0k
Waleed Elsegeiny United States 16 358 0.8× 301 0.7× 377 1.5× 203 1.0× 61 0.6× 20 892
Gopinath S. Palanisamy United States 14 298 0.7× 564 1.3× 434 1.7× 207 1.1× 200 2.0× 24 983
Padmaja Paidipally United States 15 499 1.1× 351 0.8× 240 0.9× 80 0.4× 65 0.7× 31 747
Saraswoti Khadge United States 12 277 0.6× 449 1.1× 345 1.3× 132 0.7× 185 1.9× 17 810

Countries citing papers authored by Sandra D. Oland

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sandra D. Oland

This figure shows the co-authorship network connecting the top 25 collaborators of Sandra D. Oland. A scholar is included among the top collaborators of Sandra D. Oland based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sandra D. Oland. Sandra D. Oland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Hilligan, Kerry L., Sivaranjani Namasivayam, Chad S. Clancy, et al.. (2023). Bacterial-induced or passively administered interferon gamma conditions the lung for early control of SARS-CoV-2. Nature Communications. 14(1). 8229–8229. 27 indexed citations
2.
Oyesola, Oyebola O., Kerry L. Hilligan, Sivaranjani Namasivayam, et al.. (2023). Exposure to lung-migrating helminth protects against murine SARS-CoV-2 infection through macrophage-dependent T cell activation. Science Immunology. 8(86). eadf8161–eadf8161. 14 indexed citations
3.
Namasivayam, Sivaranjani, Matthew Zimmerman, Sandra D. Oland, et al.. (2023). The Dysbiosis Triggered by First-Line Tuberculosis Antibiotics Fails to Reduce Their Bioavailability. mBio. 14(2). e0035323–e0035323. 5 indexed citations
4.
Hilligan, Kerry L., Sivaranjani Namasivayam, Chad S. Clancy, et al.. (2021). Intravenous administration of BCG protects mice against lethal SARS-CoV-2 challenge. The Journal of Experimental Medicine. 219(2). 69 indexed citations
5.
Fisher, Logan, et al.. (2021). The transcription factor Bach1 plays an important role in regulating macrophage ferroptosis upon iron supplementation. The Journal of Immunology. 206(1_Supplement). 111.15–111.15. 1 indexed citations
6.
Riteau, Nicolas, Andrea J. Radtke, Kevin Shenderov, et al.. (2016). Water-in-Oil–Only Adjuvants Selectively Promote T Follicular Helper Cell Polarization through a Type I IFN and IL-6–Dependent Pathway. The Journal of Immunology. 197(10). 3884–3893. 33 indexed citations
7.
Borthwick, Lee A., Kevin M. Hart, Kevin M. Vannella, et al.. (2015). Macrophages are critical to the maintenance of IL-13-dependent lung inflammation and fibrosis. Mucosal Immunology. 9(1). 38–55. 113 indexed citations
8.
Mayer-Barber, Katrin D., Bruno B. Andrade, Sandra D. Oland, et al.. (2014). Host-directed therapy of tuberculosis based on interleukin-1 and type I interferon crosstalk. Nature. 511(7507). 99–103. 567 indexed citations breakdown →

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.

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