Brian Houck‐Loomis

6.8k total citations · 2 hit papers
16 papers, 2.7k citations indexed

About

Brian Houck‐Loomis is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Brian Houck‐Loomis has authored 16 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Brian Houck‐Loomis's work include Cancer Genomics and Diagnostics (8 papers), Single-cell and spatial transcriptomics (3 papers) and Genetic factors in colorectal cancer (2 papers). Brian Houck‐Loomis is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Single-cell and spatial transcriptomics (3 papers) and Genetic factors in colorectal cancer (2 papers). Brian Houck‐Loomis collaborates with scholars based in United States, Ireland and Italy. Brian Houck‐Loomis's co-authors include Rahul Satija, Marlon Stoeckius, Peter Smibert, Pratip K. Chattopadhyay, William Stephenson, Harold Swerdlow, Christoph Hafemeister, Bertrand Z. Yeung, Shiwei Zheng and William M. Mauck and has published in prestigious journals such as Nature, Journal of Clinical Oncology and Molecular and Cellular Biology.

In The Last Decade

Brian Houck‐Loomis

14 papers receiving 2.7k citations

Hit Papers

align trajectories

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.

Simultaneous epitope and transcriptome measurement in single cells

2017 1.8k citations Marlon Stoeckius, Christoph Hafemeister et al. Nature Methods profile →
Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics

2018 552 citations Marlon Stoeckius, Shiwei Zheng et al. Genome biology profile →

Peers

Brian Houck‐Loomis

IMMUN

ONCOL

BIOPH

Astraea Jager United States

Michael J. T. Stubbington United Kingdom

Shlomit Reich-Zeliger Israel

Virginia Savova United States

Travis K. Hughes United States

Hartland W. Jackson Canada

Christian Schmidl Germany

Sanjay Srivatsan United States

Shang Cai China

Byungjin Hwang South Korea

Astraea Jager United States

Brian Houck‐Loomis

1.3k ×0.6

727 ×0.9

IMMUN

215 ×0.5

386 ×1.0

ONCOL

376 ×1.2

BIOPH

Citations per year, relative to Brian Houck‐Loomis Brian Houck‐Loomis (= 1×) peers Astraea Jager

Countries citing papers authored by Brian Houck‐Loomis

Since Specialization

Citations

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

Fields of papers citing papers by Brian Houck‐Loomis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Houck‐Loomis. 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 Brian Houck‐Loomis. The network helps show where Brian Houck‐Loomis may publish in the future.

Co-authorship network of co-authors of Brian Houck‐Loomis

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Houck‐Loomis. A scholar is included among the top collaborators of Brian Houck‐Loomis 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 Brian Houck‐Loomis. Brian Houck‐Loomis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Manca, Paolo, Chin‐Tung Chen, Christina Y. Lee, et al.. (2025). Ultrasensitive ctDNA monitoring for organ preservation in patients with locally advanced rectal cancer. npj Precision Oncology. 10(1). 8–8.

Wenger, Yvan, Jacklyn Casanova, Anita S. Bowman, et al.. (2024). MSK-ACCESS powered with SOPHiA DDM: Performance analysis of a decentralized MSK-ACCESS solution.. Journal of Clinical Oncology. 42(16_suppl). e15063–e15063.

Quintanal-Villalonga, Àlvaro, Hirokazu Taniguchi, Yingqian A. Zhan, et al.. (2022). AKT inhibition as a therapeutic strategy to constrain histological transdifferentiation in EGFR-mutant lung adenocarcinoma.. Journal of Clinical Oncology. 40(16_suppl). e21166–e21166. 1 indexed citations

Smyth, Lillian M., Jonathan Reichel, Jiabin Tang, et al.. (2021). Utility of Serial cfDNA NGS for Prospective Genomic Analysis of Patients on a Phase I Basket Study. JCO Precision Oncology. 5(5). 6–16. 4 indexed citations

Varghese, Anna M., Juber Patel, Yelena Y. Janjigian, et al.. (2021). Noninvasive Detection of Polyclonal Acquired Resistance to FGFR Inhibition in Patients With Cholangiocarcinoma Harboring FGFR2 Alterations. JCO Precision Oncology. 5(5). 44–50. 41 indexed citations

Latham, Alicia, Zalak Patel, Maysun Hasan, et al.. (2020). Abstract PR07: MSI detection in plasma cfDNA: MSI as a marker of disease burden. Clinical Cancer Research. 26(11_Supplement). PR07–PR07. 1 indexed citations

Samoila, Aliaksandra, Katelynd Vanness, Agnès Viale, et al.. (2020). Developing Quality Programs for Cell-Free DNA (cfDNA) Extraction from Peripheral Blood. The Journal of Applied Laboratory Medicine. 5(4). 788–797. 7 indexed citations

Hasan, Maysun, Juber Patel, Fanli Meng, et al.. (2019). Abstract 1387: Tracking minimal residual disease in post-operative cell-free DNA using MSK-ACCESS. Cancer Research. 79(13_Supplement). 1387–1387. 2 indexed citations

Varghese, Anna M., Juber Patel, Yelena Y. Janjigian, et al.. (2019). Non-invasive detection of acquired resistance to FGFR inhibition in patients with cholangiocarcinoma harboring FGFR2 alterations.. Journal of Clinical Oncology. 37(15_suppl). 4096–4096. 10 indexed citations

10.

Stoeckius, Marlon, Shiwei Zheng, Brian Houck‐Loomis, et al.. (2018). Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics. Genome biology. 19(1). 224–224. 552 indexed citations breakdown →

11.

Stoeckius, Marlon, Christoph Hafemeister, William Stephenson, et al.. (2017). Simultaneous epitope and transcriptome measurement in single cells. Nature Methods. 14(9). 865–868. 1786 indexed citations breakdown →

12.

Nguyen, Uyen, Lenka Bittova, Manuel M. Müller, et al.. (2014). Accelerated chromatin biochemistry using DNA-barcoded nucleosome libraries. Nature Methods. 11(8). 834–840. 117 indexed citations

13.

Kim, Dae‐Hwan, Zhanyun Tang, Miho Shimada, et al.. (2013). Histone H3K27 Trimethylation Inhibits H3 Binding and Function of SET1-Like H3K4 Methyltransferase Complexes. Molecular and Cellular Biology. 33(24). 4936–4946. 44 indexed citations

14.

Houck‐Loomis, Brian, et al.. (2012). Large Ribosomal Protein 4 Increases Efficiency of Viral Recoding Sequences. Journal of Virology. 86(17). 8949–8958. 16 indexed citations

15.

Houck‐Loomis, Brian, Michael A. Durney, Carolina Salguero, et al.. (2011). An equilibrium-dependent retroviral mRNA switch regulates translational recoding. Nature. 480(7378). 561–564. 114 indexed citations

16.

Bouamr, Fadila, et al.. (2006). The C-Terminal Portion of the Hrs Protein Interacts with Tsg101 and Interferes with Human Immunodeficiency Virus Type 1 Gag Particle Production. Journal of Virology. 81(6). 2909–2922. 29 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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