Michaela Oswald

538 citations
11 papers · 323 · h-index 6

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Systemic Lupus Erythematosus Research
    • Rheumatoid Arthritis Research and Therapies

Papers in

    • Circular RNAs in diseases 4
    • Angiogenesis and VEGF in Cancer 1
    • Phytochemical compounds biological activities 1
    • Systemic Lupus Erythematosus Research 3
    • Rheumatoid Arthritis Research and Therapies 2

Michaela Oswald

10 papers receiving 319 citations

Peers

Michaela Oswald
Comparison fields: 5 of 64
  • Cancer Research 123
  • Rheumatology 79
  • Pathology and Forensic Medicine 68
  • Immunology 67
  • Molecular Biology 157
Replace Li E. Wang with:
Li E. Wang United States
Sulan Zhai China
Xinnian Yu China
Anne Marie Bertucci United States
Sana Jadallah United States
Mirjam M. de Jong Netherlands
Peng Xing China
Michael WY Chan Taiwan
Da‐Lei Zhou China
Michaela Oswald relative to Li E. Wang United States Li E. Wang's profile →
Citations per field
00.5×2.9×
Li E. Wang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Michaela Oswald, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michaela Oswald Line = papers co-authored together Michaela Oswald links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2013122
2 201574
3 201151
4 201434
5 201628
6 20159
7 20152
8 20131
9 20141
10 20141
11 20150

About Michaela Oswald

Michaela Oswald is a scholar working on Molecular Biology, Rheumatology, Cancer Research, Oncology and Immunology, having authored 11 papers that have together received 323 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (4 papers), Systemic Lupus Erythematosus Research (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Angiogenesis and VEGF in Cancer (1 paper) and Phytochemical compounds biological activities (1 paper). The work is most often cited by research in Cancer Research (123 citations), Rheumatology (79 citations), Pathology and Forensic Medicine (68 citations), Immunology (67 citations) and Molecular Biology (157 citations). Michaela Oswald has collaborated with scholars based in United States, Switzerland and Mexico. Frequent co-authors include Peter K. Gregersen, Thomas Efferth, Cynthia Aranow, S Liang, Houman Khalili, John Whyte, Meggan Mackay, John L. Lovecchio, D. R. Budman and Betty Diamond. Their work appears in journals such as Journal of Clinical Oncology, Arthritis & Rheumatology, British Journal of Cancer, Annals of the Rheumatic Diseases and Current Medicinal Chemistry.

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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