Bryan D. Bryson

5.6k total citations · 3 hit papers
54 papers, 2.7k citations indexed

About

Bryan D. Bryson is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Bryan D. Bryson has authored 54 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 20 papers in Immunology and 18 papers in Infectious Diseases. Recurrent topics in Bryan D. Bryson's work include Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (10 papers) and Single-cell and spatial transcriptomics (9 papers). Bryan D. Bryson is often cited by papers focused on Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (10 papers) and Single-cell and spatial transcriptomics (9 papers). Bryan D. Bryson collaborates with scholars based in United States, Brazil and United Kingdom. Bryan D. Bryson's co-authors include Bonnie Berger, Brian Hie, Sarah M. Fortune, Alex K. Shalek, Travis K. Hughes, Marc H. Wadsworth, Rahul Satija, Andrew Butler, Todd M. Gierahn and J. Christopher Love and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Bryan D. Bryson

48 papers receiving 2.6k 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.

Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput

2017 593 citations Todd M. Gierahn, Marc H. Wadsworth et al. profile →
Efficient integration of heterogeneous single-cell transcriptomes using Scanorama

2019 464 citations Brian Hie, Bryan D. Bryson et al. profile →
Contrastive learning in protein language space predicts interactions between drugs and protein targets

2023 94 citations Bryan D. Bryson, Bonnie Berger et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bryan D. Bryson United States	22	1.7k	605	596	360	314	54	2.7k
Aleksandr Ianevski Finland	23	1.5k 0.9×	335 0.6×	507 0.9×	296 0.8×	300 1.0×	54	2.8k
Jason F. Kreisberg United States	24	1.3k 0.8×	479 0.8×	387 0.6×	337 0.9×	252 0.8×	39	2.5k
Eric D. Chow United States	21	2.2k 1.3×	563 0.9×	460 0.8×	606 1.7×	333 1.1×	30	3.8k
Hakim Djaballah United States	29	1.8k 1.1×	606 1.0×	152 0.3×	636 1.8×	432 1.4×	81	3.3k
Qikai Xu United States	25	2.9k 1.7×	553 0.9×	323 0.5×	503 1.4×	478 1.5×	37	4.0k
Peng Qiu China	13	1.4k 0.8×	627 1.0×	129 0.2×	123 0.3×	214 0.7×	55	2.4k
Joseph C. Devlin United States	15	807 0.5×	448 0.7×	226 0.4×	135 0.4×	211 0.7×	29	1.4k
Luigi Aurisicchio Italy	32	1.4k 0.8×	1.0k 1.7×	363 0.6×	174 0.5×	461 1.5×	107	3.0k
Parveen Kumar India	22	1.3k 0.7×	234 0.4×	497 0.8×	395 1.1×	434 1.4×	79	2.5k
Nicolas Rapin Denmark	24	2.5k 1.4×	642 1.1×	265 0.4×	241 0.7×	416 1.3×	46	3.1k

Countries citing papers authored by Bryan D. Bryson

Since Specialization

Citations

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

Fields of papers citing papers by Bryan D. Bryson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan D. Bryson. 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 Bryan D. Bryson. The network helps show where Bryan D. Bryson may publish in the future.

Co-authorship network of co-authors of Bryan D. Bryson

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

White, Forest M., et al.. (2025). High-throughput screening for class I peptide MHC binding via yeast surface display. Proceedings of the National Academy of Sciences. 122(47). e2514741122–e2514741122.

Andrade, Priscila R., Feiyang Ma, Jing Lü, et al.. (2025). Dynamics of Th1/Th17 responses and antimicrobial pathways in leprosy skin lesions. Journal of Clinical Investigation. 135(17).

Ma, Chi, et al.. (2025). Exploiting thioether reactivity to label mycobacterial glycans. Proceedings of the National Academy of Sciences. 122(19). e2422185122–e2422185122.

Hart, Elizabeth M., et al.. (2025). Intercepting a Mycobacterial Biosynthetic Pathway with Covalent Labeling. Journal of the American Chemical Society. 147(13). 11189–11198.

Cui, Yufei, Ryuhjin Ahn, Lauren Stopfer, et al.. (2024). Validation and quantification of peptide antigens presented on MHCs using SureQuant. Nature Protocols. 20(5). 1196–1222. 3 indexed citations

Bryson, Bryan D., et al.. (2024). Protease shaving of Mycobacterium tuberculosis facilitates vaccine antigen discovery and delivery of novel cargoes to the Mtb surface. Microbiology Spectrum. 13(2). e0227724–e0227724. 1 indexed citations

Bryson, Bryan D., et al.. (2023). Selective Glycan Labeling of Mannose-Containing Glycolipids in Mycobacteria. Journal of the American Chemical Society. 146(1). 377–385. 8 indexed citations

Bryson, Bryan D., et al.. (2023). Single-cell analysis reveals a weak macrophage subpopulation response to Mycobacterium tuberculosis infection. Cell Reports. 42(11). 113418–113418. 5 indexed citations

Nilsson, Avlant, et al.. (2022). Artificial neural networks enable genome-scale simulations of intracellular signaling. Nature Communications. 13(1). 3069–3069. 27 indexed citations

10.

Junna, Nella, Martin Broberg, Samuel E. Jones, et al.. (2022). Large registry-based analysis of genetic predisposition to tuberculosis identifies genetic risk factors at HLA. Human Molecular Genetics. 32(1). 161–171. 2 indexed citations

11.

Maher, M. Cyrus, István Bartha, Steven Weaver, et al.. (2022). Predicting the mutational drivers of future SARS-CoV-2 variants of concern. Science Translational Medicine. 14(633). eabk3445–eabk3445. 99 indexed citations

12.

Hie, Brian, Ellen D. Zhong, Bonnie Berger, & Bryan D. Bryson. (2021). Learning the language of viral evolution and escape. Science. 371(6526). 284–288. 183 indexed citations

13.

Ma, Feiyang, Travis K. Hughes, Rosane M. B. Teles, et al.. (2021). The cellular architecture of the antimicrobial response network in human leprosy granulomas. Nature Immunology. 22(7). 839–850. 61 indexed citations

14.

Hie, Brian, Joshua M. Peters, Sarah K. Nyquist, et al.. (2020). Computational Methods for Single-Cell RNA Sequencing. 3(1). 339–364. 57 indexed citations

15.

Hie, Brian, Ellen D. Zhong, Bryan D. Bryson, & Bonnie Berger. (2020). Learning Mutational Semantics. Neural Information Processing Systems. 33. 9109–9121. 2 indexed citations

16.

Weiss, David I., Feiyang Ma, Alexander A. Merleev, et al.. (2019). IL-1β Induces the Rapid Secretion of the Antimicrobial Protein IL-26 from Th17 Cells. The Journal of Immunology. 203(4). 911–921. 22 indexed citations

17.

Bryson, Bryan D., Tracy R. Rosebrock, Fikadu Tafesse, et al.. (2019). Heterogeneous GM-CSF signaling in macrophages is associated with control of Mycobacterium tuberculosis. Nature Communications. 10(1). 2329–2329. 58 indexed citations

18.

Gierahn, Todd M., Marc H. Wadsworth, Tudor Hughes, et al.. (2017). Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput. Protocol Exchange. 5 indexed citations

19.

Curran, Timothy G., et al.. (2013). Computer aided manual validation of mass spectrometry-based proteomic data. Methods. 61(3). 219–226. 25 indexed citations

20.

Johnson, Hannah, Amanda Del Rosario, Bryan D. Bryson, et al.. (2012). Molecular Characterization of EGFR and EGFRvIII Signaling Networks in Human Glioblastoma Tumor Xenografts. Molecular & Cellular Proteomics. 11(12). 1724–1740. 75 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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