Michaela Oswald

538 total citations
11 papers, 323 citations indexed

About

Michaela Oswald is a scholar working on Molecular Biology, Rheumatology and Cancer Research. According to data from OpenAlex, Michaela Oswald has authored 11 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Rheumatology and 4 papers in Cancer Research. Recurrent topics in Michaela Oswald's work include Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers) and MicroRNA in disease regulation (4 papers). Michaela Oswald is often cited by papers focused on Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers) and MicroRNA in disease regulation (4 papers). Michaela Oswald collaborates with scholars based in United States, Switzerland and Mexico. Michaela Oswald's co-authors include Peter K. Gregersen, Thomas Efferth, John Whyte, Cynthia Aranow, S Liang, Andrew Menzin, Keith Sultan, John L. Lovecchio, Betty Diamond and D. R. Budman and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and British Journal of Cancer.

In The Last Decade

Michaela Oswald

10 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michaela Oswald United States 6 157 123 79 68 67 11 323
Li E. Wang United States 11 330 2.1× 140 1.1× 53 0.7× 96 1.4× 23 0.3× 12 476
Xinnian Yu China 13 182 1.2× 138 1.1× 17 0.2× 29 0.4× 48 0.7× 21 360
Sulan Zhai China 11 271 1.7× 128 1.0× 21 0.3× 61 0.9× 78 1.2× 18 395
Anne Marie Bertucci United States 7 76 0.5× 34 0.3× 64 0.8× 43 0.6× 154 2.3× 7 332
Wanjun Shen China 10 118 0.8× 33 0.3× 34 0.4× 21 0.3× 89 1.3× 28 314
Linshuai Xu China 11 164 1.0× 58 0.5× 115 1.5× 25 0.4× 63 0.9× 16 339
Diane M. Pierson United States 9 111 0.7× 21 0.2× 37 0.5× 33 0.5× 44 0.7× 11 324
Hongying Lu China 8 338 2.2× 300 2.4× 104 1.3× 24 0.4× 36 0.5× 15 477
E. Endreffy Hungary 7 95 0.6× 80 0.7× 44 0.6× 11 0.2× 77 1.1× 13 253

Countries citing papers authored by Michaela Oswald

Since Specialization
Citations

This map shows the geographic impact of Michaela Oswald'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 Michaela Oswald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Oswald more than expected).

Fields of papers citing papers by Michaela Oswald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michaela Oswald. 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 Michaela Oswald. The network helps show where Michaela Oswald may publish in the future.

Co-authorship network of co-authors of Michaela Oswald

This figure shows the co-authorship network connecting the top 25 collaborators of Michaela Oswald. A scholar is included among the top collaborators of Michaela Oswald 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 Michaela Oswald. Michaela Oswald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Mackay, Meggan, Michaela Oswald, Jorge Sánchez‐Guerrero, et al.. (2016). Molecular signatures in systemic lupus erythematosus: distinction between disease flare and infection. Lupus Science & Medicine. 3(1). e000159–e000159. 28 indexed citations
2.
Li, Wentian, Jan Freudenberg, & Michaela Oswald. (2015). Principles for the organization of gene-sets. Computational Biology and Chemistry. 59. 139–149. 9 indexed citations
3.
Oswald, Michaela, et al.. (2015). Integrated analysis of miRNAs expression in breast cancer patients to detect genes deregulation involved in malignant transformation.. Journal of Clinical Oncology. 33(15_suppl). e12560–e12560. 2 indexed citations
4.
Aranow, Cynthia, Diane L. Kamen, Maria Dall’Era, et al.. (2015). Randomized, Double‐Blind, Placebo‐Controlled Trial of the Effect of Vitamin D3 on the Interferon Signature in Patients With Systemic Lupus Erythematosus. Arthritis & Rheumatology. 67(7). 1848–1857. 74 indexed citations
5.
6.
Oswald, Michaela, Mark Curran, Sarah Lamberth, et al.. (2014). Modular Analysis of Peripheral Blood Gene Expression in Rheumatoid Arthritis Captures Reproducible Gene Expression Changes in Tumor Necrosis Factor Responders. Arthritis & Rheumatology. 67(2). 344–351. 34 indexed citations
7.
Curran, Michael A., et al.. (2014). FRI0271 Modular Analysis of Peripheral Blood Gene Expression in Rheumatoid Arthritis Captures Reproducible Gene Expression Changes in TNF Responders. Annals of the Rheumatic Diseases. 73. 481–481. 1 indexed citations
8.
Waingankar, Nikhil, Soroush Rais‐Bahrami, Kevin W. Smith, et al.. (2014). Validation of differential expression of microRNA profiles in prostate cancer specimens.. Journal of Clinical Oncology. 32(4_suppl). 203–203. 1 indexed citations
9.
Oswald, Michaela, John L. Lovecchio, Houman Khalili, et al.. (2013). Circulating biomarkers for detection of ovarian cancer and predicting cancer outcomes. British Journal of Cancer. 110(4). 976–983. 122 indexed citations
10.
11.
Oswald, Michaela, et al.. (2011). Inhibition of Tumor Angiogenesis by Antibodies, Synthetic Small Molecules and Natural Products. Current Medicinal Chemistry. 18(21). 3136–3155. 51 indexed citations

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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