Dillon Maloney
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Immune cells in cancer
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- NF-κB Signaling Pathways
Papers in
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- Cancer Genomics and Diagnostics 2
- NF-κB Signaling Pathways 2
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- Genomics and Phylogenetic Studies 1
- Peroxisome Proliferator-Activated Receptors 1
- Gene expression and cancer classification 1
- Co-authors
- Will Liao (2 shared papers)Sankar Ghosh (2 shared papers)Dev Bhatt (2 shared papers)Jiguang Wang (1 shared paper)Pingzhang Wang (1 shared paper)Hyun-Ju Oh (1 shared paper)Roland M. Schmid (1 shared paper)Matthew S. Hayden (1 shared paper)
- Journals
- Immunity (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)Veterinary and Comparative Orthopaedics and Traumatology (1 paper)Annals of Oncology (1 paper)International Conference on Learning Representations (1 paper)
- Partner nations
- United StatesSwitzerlandBrazil
In The Last Decade
Dillon Maloney
5 papers receiving 201 citations
Peers
Comparison fields: 5 of 51
- Immunology 138
- Cancer Research 66
- Oncology 38
- Small Animals 7
- Physiology 3
Countries citing papers authored by Dillon Maloney
This map shows the geographic impact of Dillon Maloney'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 Dillon Maloney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dillon Maloney more than expected).
Fields of papers citing papers by Dillon Maloney
This network shows the impact of papers produced by Dillon Maloney. 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 Dillon Maloney. The network helps show where Dillon Maloney may publish in the future.
Co-authors
The 25 scholars most cited alongside Dillon Maloney, 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 | 2017 | 168 | |
| 2 | 2020 | 13 | |
| 3 | 1999 | 11 | |
| 4 | Deep learning mutation prediction enables early stage lung cancer detection in liquid biopsy | 2018 | 9 |
| 5 | 2024 | 3 |
About Dillon Maloney
Dillon Maloney is a scholar working on Cancer Research, Molecular Biology, Immunology, Surgery and Infectious Diseases, having authored 5 papers that have together received 204 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), NF-κB Signaling Pathways (2 papers), Genomics and Phylogenetic Studies (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper), Gene expression and cancer classification (1 paper), Knee injuries and reconstruction techniques (1 paper), Total Knee Arthroplasty Outcomes (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Immunology (138 citations), Cancer Research (66 citations), Oncology (38 citations), Small Animals (7 citations) and Physiology (3 citations). Dillon Maloney has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include Will Liao, Sankar Ghosh, Dev Bhatt, Jiguang Wang, Pingzhang Wang, Hyun-Ju Oh, Roland M. Schmid, Matthew S. Hayden, Ulf Klein and Zikai Wu. Their work appears in journals such as Immunity, The International Journal of Biochemistry & Cell Biology, Veterinary and Comparative Orthopaedics and Traumatology, Annals of Oncology and International Conference on Learning Representations.
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.