Michaela Feodoroff

406 citations
12 papers · 188 · h-index 7

Impact in

    • Cancer Cells and Metastasis
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Immunotherapy and Immune Responses

Papers in

    • CAR-T cell therapy research 6
    • Cancer Cells and Metastasis 3
    • Immunotherapy and Immune Responses 4

Michaela Feodoroff

12 papers receiving 186 citations

Peers

Michaela Feodoroff
Comparison fields: 5 of 43
  • Oncology 111
  • Immunology 54
  • Biotechnology 16
  • Cancer Research 25
  • Molecular Biology 68
Replace Wilson Wei Sheng Tan with:
Wilson Wei Sheng Tan Singapore
Hugo Bottois France
Naresh Poondla United States
Sayaka Nagata Japan
Shenxia Xie China
Carlos Luri‐Rey Spain
Jiang Lv China
Lemei Jia China
Hao Ran United States
Rachael M. Zemek Australia
Michaela Feodoroff relative to Wilson Wei Sheng Tan Singapore Wilson Wei Sheng Tan's profile →
Citations per field
00.5×1.5×2.1×
Wilson Wei Sheng Tan · 1×
Citations per year

Countries citing papers authored by Michaela Feodoroff

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Feodoroff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michaela Feodoroff, 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 Feodoroff Line = papers co-authored together Michaela Feodoroff links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2021103
2 202228
3 202215
4 20238
5 20248
6 20218
7 20236
8 20243
9 20243
10 20223
11 20232
12 20251

About Michaela Feodoroff

Michaela Feodoroff is a scholar working on Oncology, Immunology, Molecular Biology, Genetics and Biophysics, having authored 12 papers that have together received 188 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Immunotherapy and Immune Responses (4 papers), Cancer Cells and Metastasis (3 papers), Virus-based gene therapy research (3 papers), 3D Printing in Biomedical Research (2 papers), Cell Image Analysis Techniques (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Oncology (111 citations), Immunology (54 citations), Biotechnology (16 citations), Cancer Research (25 citations) and Molecular Biology (68 citations). Michaela Feodoroff has collaborated with scholars based in Finland, Italy and Sweden. Frequent co-authors include Vincenzo Cerullo, Firas Hamdan, Mikaela Grönholm, Beatriz Martins, Sara Feola, Manlio Fusciello, Jacopo Chiaro, Erkko Ylösmäki, Salvatore Russo and Sari Pesonen. Their work appears in journals such as SLAS DISCOVERY, Molecular Therapy — Methods & Clinical Development, Journal for ImmunoTherapy of Cancer, Antiviral Research and Frontiers in Immunology.

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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