Petra Schuberth

851 citations
11 papers · 453 · h-index 7

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Peptidase Inhibition and Analysis
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • CAR-T cell therapy research 5
    • Peptidase Inhibition and Analysis 3
    • Signaling Pathways in Disease 1

Petra Schuberth

9 papers receiving 450 citations

Peers

Petra Schuberth
Comparison fields: 5 of 38
  • Oncology 282
  • Immunology 131
  • Cancer Research 70
  • Genetics 74
  • Molecular Biology 177
Replace Semjon Willier with:
Semjon Willier Germany
Joakim Karlsson Sweden
Abigail Welford United Kingdom
Nicolas Chuvin France
Tom J. Harryvan Netherlands
Pilvi Maliniemi Finland
Kathryn Ruisaard United States
Axel Hyrenius‐Wittsten Sweden
J Xiang Canada
Karthik Dhatchinamoorthy United States
Petra Schuberth relative to Semjon Willier Germany Semjon Willier's profile →
Citations per field
00.5×3.1×
Semjon Willier · 1×
Citations per year

Countries citing papers authored by Petra Schuberth

Since Specialization
Citations

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

Fields of papers citing papers by Petra Schuberth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2013159
2 2008126
3 201267
4 201248
5 202229
6 20159
7 20228
8
Antigen-specific in vitro expansion of functional redirected NY-ESO-1-specific human CD8+ T-cells in a cell-free system.
20136
9 20231
10 20240
11 20240

About Petra Schuberth

Petra Schuberth is a scholar working on Oncology, Molecular Biology, Hematology, Immunology and Surgery, having authored 11 papers that have together received 453 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Peptidase Inhibition and Analysis (3 papers), Multiple Myeloma Research and Treatments (2 papers), Cell Adhesion Molecules Research (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Cardiac Structural Anomalies and Repair (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Oncology (282 citations), Immunology (131 citations), Cancer Research (70 citations), Genetics (74 citations) and Molecular Biology (177 citations). Petra Schuberth has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Ulf Petrausch, Christoph Renner, Rolf A. Stahel, Alex Soltermann, Axel Mischo, Shawn M. Jensen, Barry D. Hock, Norbert Koch, Ralph W. Jack and Sarah C. Saunderson. Their work appears in journals such as Journal of Clinical Oncology, Haematologica, BMC Cancer, Journal for ImmunoTherapy of Cancer and Transplantation and Cellular Therapy.

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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