Aaron M. Newman

49.6k total citations · 12 hit papers
79 papers, 22.7k citations indexed

About

Aaron M. Newman is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Aaron M. Newman has authored 79 papers receiving a total of 22.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 32 papers in Cancer Research and 27 papers in Oncology. Recurrent topics in Aaron M. Newman's work include Cancer Genomics and Diagnostics (30 papers), Single-cell and spatial transcriptomics (19 papers) and Cancer Immunotherapy and Biomarkers (11 papers). Aaron M. Newman is often cited by papers focused on Cancer Genomics and Diagnostics (30 papers), Single-cell and spatial transcriptomics (19 papers) and Cancer Immunotherapy and Biomarkers (11 papers). Aaron M. Newman collaborates with scholars based in United States, India and Norway. Aaron M. Newman's 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 and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Aaron M. Newman

77 papers receiving 22.6k citations

Hit Papers

Robust enumeration of cell subsets from tissue expression... 2014 2026 2018 2022 2015 2018 2019 2015 2014 2.5k 5.0k 7.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Robust enumeration of cell subsets from tissue expression profiles
    2015 8.3k citations Aaron M. Newman, Chih Long Liu et al. Nature Methods profile →
  2. Profiling Tumor Infiltrating Immune Cells with CIBERSORT
    2018 2.4k citations Michael S. Khodadoust, Chih Long Liu et al. Methods in molecular biology profile →
  3. Determining cell type abundance and expression from bulk tissues with digital cytometry
    2019 2.4k citations Aaron M. Newman, Chloé B. Steen et al. Nature Biotechnology profile →
  4. The prognostic landscape of genes and infiltrating immune cells across human cancers
    2015 2.2k citations Andrew J. Gentles, Aaron M. Newman et al. Nature Medicine profile →
  5. An ultrasensitive method for quantitating circulating tumor DNA with broad patient coverage
    2014 1.5k citations Aaron M. Newman, Chih Long Liu et al. Nature Medicine profile →
  6. Integrated digital error suppression for improved detection of circulating tumor DNA
    2016 716 citations Aaron M. Newman, Alexander F. Lovejoy et al. Nature Biotechnology profile →
  7. Single-cell transcriptional diversity is a hallmark of developmental potential
    2020 712 citations Gunsagar S. Gulati, Shaheen S. Sikandar et al. Science profile →
  8. Identification and isolation of a dermal lineage with intrinsic fibrogenic potential
    2015 492 citations Yuval Rinkevich, Graham G. Walmsley et al. Science profile →
  9. Profiling Cell Type Abundance and Expression in Bulk Tissues with CIBERSORTx
    2020 275 citations Chloé B. Steen, Chih Long Liu et al. Methods in molecular biology profile →
  10. T cell characteristics associated with toxicity to immune checkpoint blockade in patients with melanoma
    2022 180 citations Alexander X. Lozano, Aadel A. Chaudhuri et al. Nature Medicine profile →
  11. Profiling cell identity and tissue architecture with single-cell and spatial transcriptomics
    2024 89 citations Gunsagar S. Gulati, Yunhe Liu et al. Nature Reviews Molecular Cell Biology profile →
  12. Spatially Segregated Macrophage Populations Predict Distinct Outcomes in Colon Cancer
    2024 62 citations Shirley Zhu, Bogdan Luca et al. Cancer Discovery profile →

Peers

Aaron M. Newman
Chih Long Liu United States
Maximilian Diehn United States
Andrew J. Gentles United States
Zemin Zhang China
Chad J. Creighton United States
Hiroyuki Mano Japan
Robert B. West United States
Glen Kristiansen Germany
Anke van den Berg Netherlands
Gabriele Bergers United States
Chih Long Liu United States
Aaron M. Newman
Citations per year, relative to Aaron M. Newman Aaron M. Newman (= 1×) peers Chih Long Liu

Countries citing papers authored by Aaron M. Newman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Kang, Minji, Gunsagar S. Gulati, José Juan Almagro Armenteros, et al.. (2025). Improved reconstruction of single-cell developmental potential with CytoTRACE 2. Nature Methods. 22(11). 2258–2263. 2 indexed citations
2.
Gulati, Gunsagar S., et al.. (2024). Profiling cell identity and tissue architecture with single-cell and spatial transcriptomics. Nature Reviews Molecular Cell Biology. 26(1). 11–31. 89 indexed citations breakdown →
3.
Earland, Noah, Wubing Zhang, Abul Usmani, et al.. (2023). CD4 T cells and toxicity from immune checkpoint blockade. Immunological Reviews. 318(1). 96–109. 9 indexed citations
4.
Kaiser, Alyssa M., Alberto Gatto, Nitin Raj, et al.. (2023). p53 governs an AT1 differentiation programme in lung cancer suppression. Nature. 619(7971). 851–859. 45 indexed citations
5.
Steen, Chloé B., Bogdan Luca, Ash A. Alizadeh, Andrew J. Gentles, & Aaron M. Newman. (2023). Profiling Cellular Ecosystems at Single-Cell Resolution and at Scale with EcoTyper. Methods in molecular biology. 2629. 43–71. 1 indexed citations
6.
Sikandar, Shaheen S., Gunsagar S. Gulati, Jane Antony, et al.. (2022). Identification of a minority population of LMO2 + breast cancer cells that integrate into the vasculature and initiate metastasis. Science Advances. 8(45). eabm3548–eabm3548. 3 indexed citations
7.
Lozano, Alexander X., Aadel A. Chaudhuri, Aishwarya Nene, et al.. (2022). T cell characteristics associated with toxicity to immune checkpoint blockade in patients with melanoma. Nature Medicine. 28(2). 353–362. 180 indexed citations breakdown →
8.
Wang, James, Brett Z. Fite, Aris J. Kare, et al.. (2022). Multiomic analysis for optimization of combined focal and immunotherapy protocols in murine pancreatic cancer. Theranostics. 12(18). 7884–7902. 5 indexed citations
9.
Steen, Chloé B., Bogdan Luca, Mohammad Shahrokh Esfahani, et al.. (2021). The landscape of tumor cell states and ecosystems in diffuse large B cell lymphoma. Cancer Cell. 39(10). 1422–1437.e10. 149 indexed citations
10.
Accomando, William P., Daniel J. Hogan, Aaron M. Newman, et al.. (2020). Molecular and Immunologic Signatures are Related to Clinical Benefit from Treatment with Vocimagene Amiretrorepvec (Toca 511) and 5-Fluorocytosine (Toca FC) in Patients with Glioma. Clinical Cancer Research. 26(23). 6176–6186. 17 indexed citations
11.
Zabala, Maider, Neethan A. Lobo, Jane Antony, et al.. (2020). LEFTY1 Is a Dual-SMAD Inhibitor that Promotes Mammary Progenitor Growth and Tumorigenesis. Cell stem cell. 27(2). 284–299.e8. 12 indexed citations
12.
Gulati, Gunsagar S., Shaheen S. Sikandar, Daniel J. Wesche, et al.. (2020). Single-cell transcriptional diversity is a hallmark of developmental potential. Science. 367(6476). 405–411. 712 indexed citations breakdown →
13.
Steen, Chloé B., Chih Long Liu, Ash A. Alizadeh, & Aaron M. Newman. (2020). Profiling Cell Type Abundance and Expression in Bulk Tissues with CIBERSORTx. Methods in molecular biology. 2117. 135–157. 275 indexed citations breakdown →
14.
Myers, Lara, Michal Caspi Tal, Laughing Bear Torrez Dulgeroff, et al.. (2019). A functional subset of CD8+ T cells during chronic exhaustion is defined by SIRPα expression. Nature Communications. 10(1). 794–794. 41 indexed citations
15.
Newman, Aaron M., Chloé B. Steen, Chih Long Liu, et al.. (2019). Determining cell type abundance and expression from bulk tissues with digital cytometry. Nature Biotechnology. 37(7). 773–782. 2365 indexed citations breakdown →
16.
Przybył, Joanna, Jacob J. Chabon, Lien Spans, et al.. (2018). Combination Approach for Detecting Different Types of Alterations in Circulating Tumor DNA in Leiomyosarcoma. Clinical Cancer Research. 24(11). 2688–2699. 44 indexed citations
17.
Przybył, Joanna, Magdalena Kowalewska, Barbara Dewaele, et al.. (2017). Macrophage infiltration and genetic landscape of undifferentiated uterine sarcomas. JCI Insight. 2(11). 13 indexed citations
18.
Jeong, Youngtae, Ngoc T. Hoang, Alexander F. Lovejoy, et al.. (2016). Role of KEAP1 / NRF2 and TP53 Mutations in Lung Squamous Cell Carcinoma Development and Radiation Resistance. Cancer Discovery. 7(1). 86–101. 243 indexed citations
19.
Chaudhuri, Aadel A., Alex Lovejoy, Jacob J. Chabon, et al.. (2016). CAPP-Seq Circulating Tumor DNA Analysis for Early Detection of Tumor Progression After Definitive Radiation Therapy for Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 96(2). S41–S42. 3 indexed citations
20.
Rinkevich, Yuval, Graham G. Walmsley, Michael S. Hu, et al.. (2015). Identification and isolation of a dermal lineage with intrinsic fibrogenic potential. Science. 348(6232). aaa2151–aaa2151. 492 indexed citations breakdown →

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.

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