Judith Feucht
Impact in
Papers in
- Oncology 31
- CAR-T cell therapy research 25
- Immunology 13
- Immune Cell Function and Interaction 9
- Immunotherapy and Immune Responses 5
- Co-authors
- Michel SadelainYu-Jui HoJosef LeiboldScott W. LoweTobias FeuchtingerAmanda KulickJorge Mansilla‐SotoMohamad Hamieh
- Journals
- Blood (7 papers)Molecular Therapy (2 papers)BMC Cancer (2 papers)Nature (2 papers)Medical Mycology (2 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Judith Feucht
38 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Aging 107
- Oncology 1.2k
- Immunology 820
- Physiology 469
- Hematology 123
Countries citing papers authored by Judith Feucht
This map shows the geographic impact of Judith Feucht'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 Judith Feucht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judith Feucht more than expected).
Fields of papers citing papers by Judith Feucht
This network shows the impact of papers produced by Judith Feucht. 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 Judith Feucht. The network helps show where Judith Feucht may publish in the future.
Co-authors
The 25 scholars most cited alongside Judith Feucht, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | Prophylactic and long-lasting efficacy of senolytic CAR T cells against age-related metabolic dysfunction Hit paper breakdown → | 2024 | 104 |
| 3 | 2024 | 6 | |
| 4 | 2024 | 12 | |
| 5 | 2021 | 1 | |
| 6 | Senolytic CAR T cells reverse senescence-associated pathologies Hit paper breakdown → | 2020 | 724 |
| 7 | 2020 | 14 | |
| 8 | 2020 | 17 | |
| 9 | 2019 | 6 | |
| 10 | 2019 | 31 | |
| 11 | 2019 | 4 | |
| 12 | 2019 | 7 | |
| 13 | 2018 | 268 | |
| 14 | Calibration of CAR activation potential directs alternative T cell fates and therapeutic potency Hit paper breakdown → | 2018 | 373 |
| 15 | 2018 | 118 | |
| 16 | 2016 | 20 | |
| 17 | 2015 | 16 | |
| 18 | 2015 | 19 | |
| 19 | 2015 | 13 | |
| 20 | 2012 | 6 |
About Judith Feucht
Judith Feucht is a scholar working on Oncology, Immunology, Anesthesiology and Pain Medicine, Hematology and Epidemiology, having authored 39 papers that have together received 2.4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (25 papers), Immune Cell Function and Interaction (9 papers), CRISPR and Genetic Engineering (8 papers), Virus-based gene therapy research (7 papers), Immunotherapy and Immune Responses (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Hematopoietic Stem Cell Transplantation (4 papers). The work is most often cited by research in Aging (107 citations), Oncology (1.2k citations), Immunology (820 citations), Physiology (469 citations) and Hematology (123 citations). Judith Feucht has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Michel Sadelain, Yu-Jui Ho, Josef Leibold, Scott W. Lowe, Tobias Feuchtinger, Amanda Kulick, Jorge Mansilla‐Soto, Mohamad Hamieh, Corina Amor and Jacob A. Boyer. Their work appears in journals such as Blood, Molecular Therapy, BMC Cancer, Nature and Medical Mycology.
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.