Samuel S. Freeman

14.7k total citations
38 papers, 1.3k citations indexed

About

Samuel S. Freeman is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Samuel S. Freeman has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Cancer Research and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Samuel S. Freeman's work include Cancer Genomics and Diagnostics (10 papers), Advanced Breast Cancer Therapies (5 papers) and Single-cell and spatial transcriptomics (3 papers). Samuel S. Freeman is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), Advanced Breast Cancer Therapies (5 papers) and Single-cell and spatial transcriptomics (3 papers). Samuel S. Freeman collaborates with scholars based in United States, Canada and Brazil. Samuel S. Freeman's co-authors include David A. Hafler, Grégory Meiffren, Anne Astier, Matthew Slattery, Sarah E. Lacher, Ofir Cohen, Nikhil Wagle, Gad Getz, Joshua J. Meeks and Seth P. Lerner and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Nature Genetics.

In The Last Decade

Samuel S. Freeman

33 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Samuel S. Freeman United States 14 343 338 336 224 197 38 1.3k
Amrita Basu United States 15 331 1.0× 382 1.1× 251 0.7× 96 0.4× 96 0.5× 58 937
Kathleen Kuehn New Zealand 10 198 0.6× 682 2.0× 172 0.5× 235 1.0× 254 1.3× 19 1.3k
John Welsh Finland 12 212 0.6× 927 2.7× 66 0.2× 60 0.3× 205 1.0× 39 1.5k
Vipin Narang Singapore 20 119 0.3× 502 1.5× 490 1.5× 30 0.1× 80 0.4× 54 1.5k
Thomas Richter Germany 21 155 0.5× 611 1.8× 102 0.3× 109 0.5× 157 0.8× 80 1.7k
Jan Bayer France 14 123 0.4× 335 1.0× 94 0.3× 46 0.2× 78 0.4× 26 933
Christoph Reuter Germany 26 486 1.4× 1.3k 3.8× 122 0.4× 308 1.4× 277 1.4× 106 2.2k
James Dennis United Kingdom 13 102 0.3× 508 1.5× 308 0.9× 50 0.2× 48 0.2× 26 874
William P. Kennedy United States 22 178 0.5× 255 0.8× 431 1.3× 53 0.2× 44 0.2× 61 2.0k

Countries citing papers authored by Samuel S. Freeman

Since Specialization
Citations

This map shows the geographic impact of Samuel S. Freeman'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 Samuel S. Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel S. Freeman more than expected).

Fields of papers citing papers by Samuel S. Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel S. Freeman. 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 Samuel S. Freeman. The network helps show where Samuel S. Freeman may publish in the future.

Co-authorship network of co-authors of Samuel S. Freeman

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel S. Freeman. A scholar is included among the top collaborators of Samuel S. Freeman 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 Samuel S. Freeman. Samuel S. Freeman 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.
Liu, Yaping, Sarah C. Reed, Christopher Lo, et al.. (2024). FinaleMe: Predicting DNA methylation by the fragmentation patterns of plasma cell-free DNA. Nature Communications. 15(1). 2790–2790. 12 indexed citations
2.
Ceglia, Nicholas, Zachary Sethna, Samuel S. Freeman, et al.. (2023). Identification of transcriptional programs using dense vector representations defined by mutual information with GeneVector. Nature Communications. 14(1). 4400–4400. 4 indexed citations
3.
Gonye, Anna, Thomas J. LaSalle, Samuel S. Freeman, et al.. (2023). Protocol for bulk RNA sequencing of enriched human neutrophils from whole blood and estimation of sample purity. STAR Protocols. 4(1). 102125–102125. 4 indexed citations
4.
Weber, Zachary, Katharine A. Collier, Juliet Forman, et al.. (2021). Modeling clonal structure over narrow time frames via circulating tumor DNA in metastatic breast cancer. Genome Medicine. 13(1). 89–89. 13 indexed citations
5.
Bhatt, Rupal S., Kathleen M. Mahoney, Samuel S. Freeman, et al.. (2020). KIR3DL3 Is an Inhibitory Receptor for HHLA2 that Mediates an Alternative Immunoinhibitory Pathway to PD1. Cancer Immunology Research. 9(2). 156–169. 80 indexed citations
6.
Mao, Pingping, Ofir Cohen, Kailey J. Kowalski, et al.. (2020). Acquired FGFR and FGF Alterations Confer Resistance to Estrogen Receptor (ER) Targeted Therapy in ER+ Metastatic Breast Cancer. Clinical Cancer Research. 26(22). 5974–5989. 90 indexed citations
7.
Kim, Jaegil, David J. Kwiatkowski, David J. McConkey, et al.. (2019). The Cancer Genome Atlas Expression Subtypes Stratify Response to Checkpoint Inhibition in Advanced Urothelial Cancer and Identify a Subset of Patients with High Survival Probability. European Urology. 75(6). 961–964. 109 indexed citations
8.
Hassounah, Nadia B., Venkat S. Malladi, Yi Huang, et al.. (2018). Identification and characterization of an alternative cancer-derived PD-L1 splice variant. Cancer Immunology Immunotherapy. 68(3). 407–420. 62 indexed citations
9.
Lacher, Sarah E., et al.. (2018). Identification of a functional antioxidant response element at the HIF1A locus. Redox Biology. 19. 401–411. 91 indexed citations
10.
Nayar, Utthara, Ofir Cohen, Michael S. Cuoco, et al.. (2018). Acquired HER2 mutations in ER+ metastatic breast cancer confer resistance to estrogen receptor–directed therapies. Nature Genetics. 51(2). 207–216. 159 indexed citations
11.
Wander, Seth A., Ofir Cohen, Gabriela N. Johnson, et al.. (2018). Whole exome sequencing (WES) in hormone-receptor positive (HR+) metastatic breast cancer (MBC) to identify mediators of resistance to cyclin-dependent kinase 4/6 inhibitors (CDK4/6i).. Journal of Clinical Oncology. 36(15_suppl). 12016–12016. 11 indexed citations
12.
Liu, Yaping, Sarah C. Reed, Atish D. Choudhury, et al.. (2017). Abstract 5689: Identify tissue-of-origin in cancer cfDNA by whole genome sequencing. Cancer Research. 77(13_Supplement). 5689–5689. 1 indexed citations
13.
Pedamallu, Chandra Sekhar, Ami S. Bhatt, Susan Bullman, et al.. (2016). Metagenomic Characterization of Microbial Communities In Situ Within the Deeper Layers of the Ileum in Crohn’s Disease. Cellular and Molecular Gastroenterology and Hepatology. 2(5). 563–566.e5. 24 indexed citations
14.
Kirke, Alexis, Samuel S. Freeman, & Eduardo Reck Miranda. (2011). Application of multi-agent whale modeling to an interactive saxophone and whales duet. The Journal of the Abraham Lincoln Association. 2011. 1 indexed citations
15.
Freeman, Samuel S., et al.. (2010). HELO: The Laptop Ensemble As An Incubator For Individual Laptop Performance. The Journal of the Abraham Lincoln Association. 2010. 1 indexed citations
16.
Miller, E. Kathryn, et al.. (2010). Accommodating Veterans with Posttraumatic Stress Disorder Symptoms in the Academic Setting. Rehabilitation Research Policy and Education. 24(1). 43–56.
17.
Freeman, Samuel S., et al.. (2010). HELO: The Laptop Ensemble as an Incubator for Individual Laptop Performance Practices. Huddersfield Research Portal (University of Huddersfield). 304–307. 5 indexed citations
18.
Jager, Philip L. De, Elizabeth J. Rossin, Saumyadipta Pyne, et al.. (2008). Cytometric profiling in multiple sclerosis uncovers patient population structure and a reduction of CD8low cells. Brain. 131(7). 1701–1711. 56 indexed citations
19.
Astier, Anne, Grégory Meiffren, Samuel S. Freeman, & David A. Hafler. (2006). Alterations in CD46-mediated Tr1 regulatory T cells in patients with multiple sclerosis. Journal of Clinical Investigation. 116(12). 3252–3257. 233 indexed citations
20.
Freeman, Samuel S.. (1990). Testing large analog/digital signal processing chips. IEEE Transactions on Consumer Electronics. 36(4). 813–818. 2 indexed citations

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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