Gerard Folch
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
Papers in
-
- TGF-β signaling in diseases 2
- vaccines and immunoinformatics approaches 1
- Protein Structure and Dynamics 1
- Oncology 3
- Cancer Cells and Metastasis 3
- Co-authors
- François Ehrenmann (1 shared paper)Patrice Duroux (1 shared paper)Chantal Ginestoux (1 shared paper)Joumana Jabado-Michaloud (1 shared paper)Jerome C. Lane (1 shared paper)Fatena Bellahcene (1 shared paper)Véronique Giudicelli (1 shared paper)Xavier Brochet (1 shared paper)
In The Last Decade
Gerard Folch
6 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Immunology 553
- Genetics 256
- Oncology 365
- Radiology, Nuclear Medicine and Imaging 307
- Cancer Research 177
Countries citing papers authored by Gerard Folch
This map shows the geographic impact of Gerard Folch'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 Gerard Folch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerard Folch more than expected).
Fields of papers citing papers by Gerard Folch
This network shows the impact of papers produced by Gerard Folch. 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 Gerard Folch. The network helps show where Gerard Folch may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerard Folch, 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 | IMGT(R), the international ImMunoGeneTics information system(R) Hit paper breakdown → | 2008 | 752 |
| 2 | 2009 | 419 | |
| 3 | 2014 | 145 | |
| 4 | 2006 | 56 | |
| 5 | Receptor Inhibitors Target the CD44(high)/Id1(high) Glioma-Initiating Cell Population in Human Glioblastoma | 2010 | 5 |
| 6 | 2010 | 1 |
About Gerard Folch
Gerard Folch is a scholar working on Molecular Biology, Oncology, Genetics, Cell Biology and Immunology and Allergy, having authored 6 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), TGF-β signaling in diseases (2 papers), Cell Adhesion Molecules Research (2 papers), Glioma Diagnosis and Treatment (2 papers), Neuroblastoma Research and Treatments (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), vaccines and immunoinformatics approaches (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Immunology (553 citations), Genetics (256 citations), Oncology (365 citations), Radiology, Nuclear Medicine and Imaging (307 citations) and Cancer Research (177 citations). Gerard Folch has collaborated with scholars based in Spain, Ireland and France. Frequent co-authors include François Ehrenmann, Patrice Duroux, Chantal Ginestoux, Joumana Jabado-Michaloud, Jerome C. Lane, Fatena Bellahcene, Véronique Giudicelli, Xavier Brochet, Marie‐Paule Lefranc and Joan Seoane. Their work appears in journals such as Nucleic Acids Research, European Journal of Human Genetics, Nature Communications, Cancer Cell and European Journal of Cancer Supplements.
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.