Mathilde Feist

845 citations
15 papers · 665 · h-index 10

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
  • Genetics top 5%
    • Virus-based gene therapy research

Papers in

    • CAR-T cell therapy research 7
    • Pancreatic and Hepatic Oncology Research 3
    • Virus-based gene therapy research 7

Mathilde Feist

14 papers receiving 652 citations

Peers

Mathilde Feist
Comparison fields: 5 of 58
  • Oncology 439
  • Genetics 398
  • Biotechnology 97
  • Immunology 203
  • Virology 24
Replace Andrew Bateman with:
Andrew Bateman United Kingdom
Roshni Ravindranathan United States
Kevin G. Shim United States
Murielle Gantzer France
Jacob P. van Vloten Canada
L A Sumerel United States
Shyambabu Chaurasiya United States
Stella M. Melana United States
William Shingler United Kingdom
Lisa A. Santry Canada
Mathilde Feist relative to Andrew Bateman United Kingdom Andrew Bateman's profile →
Citations per field
00.5×
Andrew Bateman · 1×
Citations per year

Countries citing papers authored by Mathilde Feist

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde Feist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2019234
2 2018118
3 201772
4 201866
5 202048
6 202045
7 202221
8 202118
9 201713
10 201411
11 20138
12 20216
13 20214
14 20181
15 20160

About Mathilde Feist

Mathilde Feist is a scholar working on Oncology, Genetics, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 665 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), CAR-T cell therapy research (7 papers), Pancreatic and Hepatic Oncology Research (3 papers), Immunotherapy and Immune Responses (3 papers), Intraperitoneal and Appendiceal Malignancies (3 papers), Pancreatitis Pathology and Treatment (2 papers), Cancer Research and Treatments (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Oncology (439 citations), Genetics (398 citations), Biotechnology (97 citations), Immunology (203 citations) and Virology (24 citations). Mathilde Feist has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Zuqiang Liu, David L. Bartlett, Zong Sheng Guo, Enyong Dai, Binfeng Lu, Walter J. Storkus, Congrong Ma, Stacy J. Kowalsky, Weilin Liu and Yukai He. Their work appears in journals such as Frontiers in Immunology, Molecular Therapy, Cancers, International Journal of Hyperthermia and Journal of Clinical Medicine.

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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