Garnet Suck
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 15
- Immune Cell Function and Interaction 15
- T-cell and B-cell Immunology 4
- Oncology 11
- CAR-T cell therapy research 9
- Co-authors
- Torsten Tonn (3 shared papers)Paulina Nowakowska (2 shared papers)Christian Seidl (2 shared papers)Winfried S. Wels (1 shared paper)Marcus Odendahl (1 shared paper)Hans Klingemann (1 shared paper)Mickey Koh (8 shared papers)Donald R. Branch (4 shared papers)
In The Last Decade
Garnet Suck
24 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 79
- Immunology 705
- Oncology 534
- Hematology 148
- Genetics 36
- Molecular Biology 229
Countries citing papers authored by Garnet Suck
This map shows the geographic impact of Garnet Suck'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 Garnet Suck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garnet Suck more than expected).
Fields of papers citing papers by Garnet Suck
This network shows the impact of papers produced by Garnet Suck. 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 Garnet Suck. The network helps show where Garnet Suck may publish in the future.
Co-authors
The 25 scholars most cited alongside Garnet Suck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 260 | |
| 2 | 2016 | 162 | |
| 3 | 2005 | 89 | |
| 4 | 2011 | 70 | |
| 5 | 2004 | 59 | |
| 6 | 2004 | 49 | |
| 7 | 2012 | 42 | |
| 8 | 2006 | 38 | |
| 9 | 2016 | 36 | |
| 10 | 2005 | 34 | |
| 11 | 2011 | 30 | |
| 12 | 2010 | 26 | |
| 13 | 2006 | 26 | |
| 14 | 2006 | 25 | |
| 15 | 2011 | 22 | |
| 16 | 2006 | 20 | |
| 17 | 2012 | 13 | |
| 18 | 2022 | 7 | |
| 19 | 2010 | 7 | |
| 20 | Highly cytotoxic CD56+CD8+ NK cells as potential novel candidates for cancer cellular therapy | 2007 | 3 |
About Garnet Suck
Garnet Suck is a scholar working on Immunology, Oncology, Molecular Biology, Hematology and Genetics, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), CAR-T cell therapy research (9 papers), T-cell and B-cell Immunology (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Pluripotent Stem Cells Research (2 papers), Mesenchymal stem cell research (2 papers), Cell death mechanisms and regulation (1 paper) and Retinoids in leukemia and cellular processes (1 paper). The work is most often cited by research in Immunology (705 citations), Oncology (534 citations), Hematology (148 citations), Genetics (36 citations) and Molecular Biology (229 citations). Garnet Suck has collaborated with scholars based in Singapore, Germany and Canada. Frequent co-authors include Torsten Tonn, Paulina Nowakowska, Christian Seidl, Winfried S. Wels, Marcus Odendahl, Hans Klingemann, Mickey Koh, Donald R. Branch, Armand Keating and Yeh Ching Linn. Their work appears in journals such as Experimental Hematology, International Immunology, Blood, Cancer Immunology Immunotherapy and Clinical Cancer Research.
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.