Aaron M. Newman
- Molecular Biology top 0.2%
- Pulmonary and Respiratory Medicine top 0.1%
- Oncology top 0.1%
- Cancer Research top 0.05%
- Immunology top 0.2%
- Co-authors
- Ash A. AlizadehChih Long LiuMaximilian DiehnAndrew J. GentlesWeiguo FengChuong D. HoangYue XuMichael R. Green
- Topics
- Cancer Genomics and Diagnostics (30 papers)Single-cell and spatial transcriptomics (19 papers)Cancer Immunotherapy and Biomarkers (11 papers)
- Cited by
- Cancer ResearchImmunologyOncology
- Partner nations
- United StatesIndiaNorway
In The Last Decade
Aaron M. Newman
77 papers receiving 22.6k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Molecular Biology 10.8k
- Pulmonary and Respiratory Medicine 7.9k
- Oncology 7.7k
- Cancer Research 7.5k
- Immunology 6.3k
Countries citing papers authored by Aaron M. Newman
This map shows the geographic impact of Aaron M. Newman'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 Aaron M. Newman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron M. Newman more than expected).
Fields of papers citing papers by Aaron M. Newman
This network shows the impact of papers produced by Aaron M. Newman. 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 Aaron M. Newman. The network helps show where Aaron M. Newman may publish in the future.
Co-authorship network of co-authors of Aaron M. Newman
This figure shows the co-authorship network connecting the top 25 collaborators of Aaron M. Newman. A scholar is included among the top collaborators of Aaron M. Newman 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 Aaron M. Newman. Aaron M. Newman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Profiling cell identity and tissue architecture with single-cell and spatial transcriptomicsbreakdown → | 89 |
| 3 | 9 | |
| 4 | 45 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | T cell characteristics associated with toxicity to immune checkpoint blockade in patients with melanomabreakdown → | 180 |
| 8 | 5 | |
| 9 | 149 | |
| 10 | 17 | |
| 11 | 12 | |
| 12 | Single-cell transcriptional diversity is a hallmark of developmental potentialbreakdown → | 712 |
| 13 | Profiling Cell Type Abundance and Expression in Bulk Tissues with CIBERSORTxbreakdown → | 275 |
| 14 | 41 | |
| 15 | Determining cell type abundance and expression from bulk tissues with digital cytometrybreakdown → | 2365 |
| 16 | 44 | |
| 17 | 13 | |
| 18 | 243 | |
| 19 | 3 | |
| 20 | Identification and isolation of a dermal lineage with intrinsic fibrogenic potentialbreakdown → | 492 |
About Aaron M. Newman
Aaron M. Newman is a scholar working on Cancer Research, Oncology and Biophysics, having authored 79 papers that have together received 22.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (30 papers), Single-cell and spatial transcriptomics (19 papers) and Cancer Immunotherapy and Biomarkers (11 papers). The work is most often cited by research in Cancer Research (7.5k citations), Immunology (6.3k citations) and Oncology (7.7k citations). Aaron M. Newman has collaborated with scholars based in United States, India and Norway. Frequent co-authors include Ash A. Alizadeh, Chih Long Liu, Maximilian Diehn, Andrew J. Gentles, Weiguo Feng, Chuong D. Hoang, Yue Xu, Michael R. Green, Michael S. Khodadoust and Binbin Chen. Their work appears in journals such as Nature, Science and Cell.
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.