Tuna Mutis
- Hematology top 0.1%
- Multiple Myeloma Research and Treatments 66
- Hematopoietic Stem Cell Transplantation 18
- Immunology top 0.2%
- Immune Cell Function and Interaction 60
- Immunotherapy and Immune Responses 53
- T-cell and B-cell Immunology 41
- Oncology top 0.5%
- CAR-T cell therapy research 54
- Peptidase Inhibition and Analysis 18
- Physiology top 0.5%
- Genetics top 1%
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- Monoclonal and Polyclonal Antibodies Research 34
- Co-authors
- Niels W.C.J. van de DonkEls GoulmyHenk M. LokhorstPaul W.H.I. ParrenRichard W.J. GroenSonja ZweegmanEllen SchramaTom H. M. Ottenhoff
- Cited by
- HematologyImmunologyOncology
- Partner nations
- NetherlandsUnited StatesDenmark
In The Last Decade
Tuna Mutis
174 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Hematology 4.2k
- Immunology 4.7k
- Oncology 4.1k
- Physiology 527
- Genetics 822
Countries citing papers authored by Tuna Mutis
This map shows the geographic impact of Tuna Mutis'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 Tuna Mutis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuna Mutis more than expected).
Fields of papers citing papers by Tuna Mutis
This network shows the impact of papers produced by Tuna Mutis. 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 Tuna Mutis. The network helps show where Tuna Mutis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tuna Mutis, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 25 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 18 | |
| 7 | 2021 | 47 | |
| 8 | 2021 | 27 | |
| 9 | 2021 | 17 | |
| 10 | 2021 | 117 | |
| 11 | 2021 | 17 | |
| 12 | 2020 | 68 | |
| 13 | 2020 | 26 | |
| 14 | 2019 | 135 | |
| 15 | 2019 | 8 | |
| 16 | 2017 | 119 | |
| 17 | 2017 | 4 | |
| 18 | 2016 | 275 | |
| 19 | 2013 | 22 | |
| 20 | 2013 | 51 |
About Tuna Mutis
Tuna Mutis is a scholar working on Hematology, Immunology, Oncology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 180 papers that have together received 9.4k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (66 papers), Immune Cell Function and Interaction (60 papers), CAR-T cell therapy research (54 papers), Immunotherapy and Immune Responses (53 papers), T-cell and B-cell Immunology (41 papers), Monoclonal and Polyclonal Antibodies Research (34 papers), Peptidase Inhibition and Analysis (18 papers) and Hematopoietic Stem Cell Transplantation (18 papers). The work is most often cited by research in Hematology (4.2k citations), Immunology (4.7k citations), Oncology (4.1k citations), Physiology (527 citations) and Genetics (822 citations). Tuna Mutis has collaborated with scholars based in Netherlands, United States and Denmark. Frequent co-authors include Niels W.C.J. van de Donk, Els Goulmy, Henk M. Lokhorst, Paul W.H.I. Parren, Richard W.J. Groen, Sonja Zweegman, Ellen Schrama, Tom H. M. Ottenhoff, Inger S. Nijhof and Anton C. Martens. Their work appears in journals such as Blood, Clinical Cancer Research, The Journal of Immunology, Haematologica and HemaSphere.
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.