Ivan Liadi
Impact in
-
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Oncology 11
- CAR-T cell therapy research 11
-
- Immunotherapy and Immune Responses 3
- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
- Co-authors
- Navin Varadarajan (12 shared papers)Gabrielle Romain (11 shared papers)Badrinath Roysam (6 shared papers)Laurence J.N. Cooper (9 shared papers)Nicolas Rey-Villamizar (3 shared papers)Harjeet Singh (7 shared papers)Ankit Mahendra (3 shared papers)Yanbin Lu (2 shared papers)
- Journals
- The Journal of Immunology (2 papers)Journal of Visualized Experiments (2 papers)Blood (1 paper)Bioinformatics (1 paper)OncoImmunology (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Ivan Liadi
12 papers receiving 311 citations
Peers
Comparison fields: 5 of 48
- Oncology 200
- Immunology 151
- Biophysics 31
- Biomedical Engineering 85
- Media Technology 13
Countries citing papers authored by Ivan Liadi
This map shows the geographic impact of Ivan Liadi'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 Ivan Liadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Liadi more than expected).
Fields of papers citing papers by Ivan Liadi
This network shows the impact of papers produced by Ivan Liadi. 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 Ivan Liadi. The network helps show where Ivan Liadi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Liadi, 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 | 2015 | 76 | |
| 2 | 2014 | 71 | |
| 3 | 2017 | 37 | |
| 4 | 2022 | 36 | |
| 5 | 2015 | 34 | |
| 6 | 2013 | 17 | |
| 7 | 2016 | 16 | |
| 8 | 2021 | 13 | |
| 9 | 2015 | 7 | |
| 10 | 2013 | 5 | |
| 11 | 2019 | 1 | |
| 12 | 2013 | 1 |
About Ivan Liadi
Ivan Liadi is a scholar working on Oncology, Immunology, Biomedical Engineering, Electrical and Electronic Engineering and Molecular Biology, having authored 12 papers that have together received 314 indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Nanowire Synthesis and Applications (6 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Nanofabrication and Lithography Techniques (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Oncology (200 citations), Immunology (151 citations), Biophysics (31 citations), Biomedical Engineering (85 citations) and Media Technology (13 citations). Ivan Liadi has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Navin Varadarajan, Gabrielle Romain, Badrinath Roysam, Laurence J.N. Cooper, Nicolas Rey-Villamizar, Harjeet Singh, Ankit Mahendra, Yanbin Lu, Wissam Charab and William Kelton. Their work appears in journals such as The Journal of Immunology, Journal of Visualized Experiments, Blood, Bioinformatics and OncoImmunology.
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.