Mathilde Feist

851 citations
14 papers · 725 · h-index 10

Impact in

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

Papers in

    • Virus-based gene therapy research 4
    • Pancreatic and Hepatic Oncology Research 2

Mathilde Feist

13 papers receiving 711 citations

Peers

Mathilde Feist
Comparison fields: 5 of 26
  • Genetics 327
  • Oncology 86
  • Immunology 55
  • Virology 9
  • Biomaterials 11
Replace Shyambabu Chaurasiya with:
Shyambabu Chaurasiya United States
Margaret R. Duffy United Kingdom
Maxine Bauzon United States
Roshni Ravindranathan United States
Megha Shettigar United States
Adina Pelusio United States
Byung-Geon Rhee United States
Eleanor M. Scott United Kingdom
Víctor Cervera-Carrascón Finland
João Manuel Santos Finland
Mathilde Feist relative to Shyambabu Chaurasiya United States Shyambabu Chaurasiya's profile →
Citations per field
00.5×2×2.6×
Shyambabu Chaurasiya · 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

14 of 14 papers shown
#Work
1 2019256
2 2018124
3 201779
4 201873
5 202058
6 202049
7 202223
8 202122
9 201715
10 201411
11 20218
12 20216
13 20181
14 20160

About Mathilde Feist

Mathilde Feist is a scholar working on Genetics, Oncology, Occupational Therapy, Surgery and Immunology, having authored 14 papers that have together received 725 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Intraperitoneal and Appendiceal Malignancies (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Immunotherapy and Immune Responses (1 paper), Minimally Invasive Surgical Techniques (1 paper) and Safe Handling of Antineoplastic Drugs (1 paper). The work is most often cited by research in Genetics (327 citations), Oncology (86 citations), Immunology (55 citations), Virology (9 citations) and Biomaterials (11 citations). Mathilde Feist has collaborated with scholars based in Germany, United States and China. Frequent co-authors include David L. Bartlett, Zuqiang Liu, 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, International Journal of Hyperthermia, Nature Communications, International Journal of Colorectal Disease and Molecular 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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