G S Incefy
- Immunology top 10%
- Hematology top 5%
- Molecular Biology
- Nutrition and Dietetics top 10%
- Epidemiology
- Co-authors
- Robert A. GoodJ.L. TouraineRajendra N. PahwaF. TouraineJan RothL. H. ArpMireille DardenneC Menendez-Botet
- Topics
- Glycosylation and Glycoproteins Research (8 papers)T-cell and B-cell Immunology (8 papers)Immunodeficiency and Autoimmune Disorders (4 papers)
- Cited by
- HematologyImmunologyGenetics
- Partner nations
- United StatesFrance
In The Last Decade
G S Incefy
29 papers receiving 746 citations
Peers
Comparison fields: 5 of 88
- Immunology 365
- Hematology 213
- Molecular Biology 204
- Nutrition and Dietetics 116
- Epidemiology 93
Countries citing papers authored by G S Incefy
This map shows the geographic impact of G S Incefy'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 S Incefy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G S Incefy more than expected).
Fields of papers citing papers by G S Incefy
This network shows the impact of papers produced by G S Incefy. 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 S Incefy. The network helps show where G S Incefy may publish in the future.
Co-authorship network of co-authors of G S Incefy
This figure shows the co-authorship network connecting the top 25 collaborators of G S Incefy. A scholar is included among the top collaborators of G S Incefy 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 S Incefy. G S Incefy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Circulating thymic hormone levels in severe combined immunodeficiency. | 16 |
| 2 | 30 | |
| 3 | 2 | |
| 4 | Lymphocyte transformation induced by autologous cells. XI. The effect of age on the autologous mixed lymphocyte reaction. | 58 |
| 5 | 31 | |
| 6 | Induction of differentiation in human marrow T cell precursors by the synthetic serum thymic factor, FTS. | 42 |
| 7 | 17 | |
| 8 | 116 | |
| 9 | 6 | |
| 10 | Evaluation of functional thymic hormones in Arabian horses with severe combined immunodeficiency. | 7 |
| 11 | Low levels of serum thymic factor (fts) in zinc deficient a/jax mice. Abstr. | 1 |
| 12 | 3 | |
| 13 | 44 | |
| 14 | Heterogeneity of stem cells in severe combined immunodeficiency. | 31 |
| 15 | 174 | |
| 16 | 5 | |
| 17 | 18 | |
| 18 | 19 | |
| 19 | Differentiation of human bone marrow cells into T lymphocytes by in vitro incubation with thymic extracts. | 79 |
| 20 | 18 |
About G S Incefy
G S Incefy is a scholar working on Equine, Immunology and Transplantation, having authored 30 papers that have together received 932 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), T-cell and B-cell Immunology (8 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). The work is most often cited by research in Hematology (213 citations), Immunology (365 citations) and Genetics (91 citations). G S Incefy has collaborated with scholars based in United States and France. Frequent co-authors include Robert A. Good, J.L. Touraine, Rajendra N. Pahwa, F. Touraine, Jan Roth, L. H. Arp, Mireille Dardenne, C Menendez-Botet, John A. Hansen and Joao A Ascensao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.
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.