G C de Gast
- Hepatology top 5%
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation 8
- Immunology top 5%
- Immune Cell Function and Interaction 10
- Immunotherapy and Immune Responses 9
- T-cell and B-cell Immunology 9
- Epidemiology top 5%
- Cytomegalovirus and herpesvirus research 11
- Oncology top 5%
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- Monoclonal and Polyclonal Antibodies Research 10
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- Chronic Lymphocytic Leukemia Research 8
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- Glycosylation and Glycoproteins Research 6
- Co-authors
- Greet J. BolandT H ThéJan van HattumPieter J. WismansG.C. MuddeLF VerdonckR.A. De WegerJohannes M.G. Bonfrèr
- Cited by
- HepatologyHematologyImmunology
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
G C de Gast
58 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 95
- Hepatology 238
- Hematology 259
- Immunology 446
- Epidemiology 656
- Oncology 458
Countries citing papers authored by G C de Gast
This map shows the geographic impact of G C de Gast'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 G C de Gast with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G C de Gast more than expected).
Fields of papers citing papers by G C de Gast
This network shows the impact of papers produced by G C de Gast. 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 G C de Gast. The network helps show where G C de Gast may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G C de Gast, 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 | 2005 | 11 | |
| 2 | 2003 | 30 | |
| 3 | 2002 | 110 | |
| 4 | 1997 | 151 | |
| 5 | 1997 | 38 | |
| 6 | 1996 | 19 | |
| 7 | 1996 | 12 | |
| 8 | 1995 | 55 | |
| 9 | 1995 | 5 | |
| 10 | 1995 | 5 | |
| 11 | 1995 | 20 | |
| 12 | 1994 | 57 | |
| 13 | 1992 | 21 | |
| 14 | 1991 | 40 | |
| 15 | 1989 | 13 | |
| 16 | The spot-ELISA: a sensitive in vitro method to study the immune response to hepatitis B surface antigen. | 1989 | 31 |
| 17 | 1987 | 7 | |
| 18 | 1985 | 5 | |
| 19 | Glycolytic enzymes of an erythroleukemic cell line, K562, before and after hemoglobin induction. | 1983 | 8 |
| 20 | Class- and subclass-specific antibody response to hemocyanin in nonmalignant paraproteinemia. | 1979 | 3 |
About G C de Gast
G C de Gast is a scholar working on Immunology, Hematology and Genetics, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (11 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Immune Cell Function and Interaction (10 papers), Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (9 papers), Chronic Lymphocytic Leukemia Research (8 papers), Hematopoietic Stem Cell Transplantation (8 papers) and Glycosylation and Glycoproteins Research (6 papers). The work is most often cited by research in Hepatology (238 citations), Hematology (259 citations) and Immunology (446 citations). G C de Gast has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Greet J. Boland, T H Thé, Jan van Hattum, Pieter J. Wismans, G.C. Mudde, LF Verdonck, R.A. De Weger, Johannes M.G. Bonfrèr, Leo F. Verdonck and A. C. Hekker. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and Neurology.
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.