G C de Gast

2.0k citations
58 papers · 1.6k indexed · h-index 22
Topics
Cytomegalovirus and herpesvirus research (11 papers)Monoclonal and Polyclonal Antibodies Research (10 papers)Immune Cell Function and Interaction (10 papers)

In The Last Decade

G C de Gast

58 papers receiving 1.5k citations

Peers

G C de Gast
Comparison fields: 5 of 95
  • Epidemiology 656
  • Oncology 458
  • Immunology 446
  • Molecular Biology 288
  • Hematology 259
Replace Christoph Kahl with:
Christoph Kahl Germany
Massimo Fiorilli Italy
Tim Wyant United States
Zuheir L. Awdeh United States
H. Deicher Germany
R Powles United Kingdom
Katsuya Fujimoto Japan
James N. Lowder United States
A. D. B. Webster United Kingdom
Mark Cobbold United Kingdom
G C de Gast relative to Christoph Kahl Germany Christoph Kahl's profile →
Citations per field
00.5×1.5×2.3×
Christoph Kahl · 1×
Citations per year

Countries citing papers authored by G C de Gast

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of G C de Gast

This figure shows the co-authorship network connecting the top 25 collaborators of G C de Gast. A scholar is included among the top collaborators of G C de Gast based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G C de Gast. G C de Gast is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 11
2 30
3 110
4 151
5 38
6 19
7 12
8 55
9 5
10 5
11 20
12 57
13 21
14 40
15 13
16
The spot-ELISA: a sensitive in vitro method to study the immune response to hepatitis B surface antigen.
31
17 7
18 5
19
Glycolytic enzymes of an erythroleukemic cell line, K562, before and after hemoglobin induction.
8
20
Class- and subclass-specific antibody response to hemocyanin in nonmalignant paraproteinemia.
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) and Immune Cell Function and Interaction (10 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026