Brian Debo

850 total citations
8 papers, 426 citations indexed

About

Brian Debo is a scholar working on Molecular Biology, Epidemiology and Microbiology. According to data from OpenAlex, Brian Debo has authored 8 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Microbiology. Recurrent topics in Brian Debo's work include Reproductive tract infections research (3 papers), Epigenetics and DNA Methylation (3 papers) and Reproductive System and Pregnancy (2 papers). Brian Debo is often cited by papers focused on Reproductive tract infections research (3 papers), Epigenetics and DNA Methylation (3 papers) and Reproductive System and Pregnancy (2 papers). Brian Debo collaborates with scholars based in United States, United Kingdom and China. Brian Debo's co-authors include Andrew B. Stergachis, Yi Liu, Wanqiang Sheng, Yang Shi, L. Stirling Churchman, J Stamatoyannopoulos, Eric Haugen, Bernard J. Moncla, Leslie A. Meyn and Catherine A. Chappell and has published in prestigious journals such as Science, Nature Communications and Molecular Cell.

In The Last Decade

Brian Debo

8 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Debo United States 7 294 86 66 65 44 8 426
Sandy Wong United States 9 161 0.5× 90 1.0× 82 1.2× 84 1.3× 115 2.6× 12 371
Alias Smith United States 7 276 0.9× 38 0.4× 100 1.5× 43 0.7× 27 0.6× 7 530
Xinyi Li China 8 202 0.7× 108 1.3× 51 0.8× 26 0.4× 42 1.0× 29 367
Ali Ghadersohi United States 10 144 0.5× 72 0.8× 57 0.9× 96 1.5× 36 0.8× 14 341
Traci Hilton United States 11 244 0.8× 131 1.5× 83 1.3× 12 0.2× 69 1.6× 24 429
Rosa T. Sterk United States 7 248 0.8× 50 0.6× 80 1.2× 12 0.2× 125 2.8× 9 395
M. Beitsma Netherlands 14 177 0.6× 45 0.5× 40 0.6× 19 0.3× 64 1.5× 25 476
Bo Gustav Lindberg Sweden 7 232 0.8× 91 1.1× 61 0.9× 7 0.1× 45 1.0× 10 462
A. V. Kubarenko Germany 8 263 0.9× 264 3.1× 25 0.4× 17 0.3× 48 1.1× 11 421
Sandra S. Ojeda United States 9 173 0.6× 142 1.7× 28 0.4× 8 0.1× 34 0.8× 13 322

Countries citing papers authored by Brian Debo

Since Specialization
Citations

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

Fields of papers citing papers by Brian Debo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Debo

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

All Works

8 of 8 papers shown
1.
Debo, Brian, Benjamin J. Mallory, & Andrew B. Stergachis. (2023). Evaluation of N 6 -methyldeoxyadenosine antibody-based genomic profiling in eukaryotes. Genome Research. 33(3). 427–434. 6 indexed citations
2.
Sheng, Wanqiang, Yi Liu, Damayanti Chakraborty, Brian Debo, & Yang Shi. (2021). Simultaneous Inhibition of LSD1 and TGFβ Enables Eradication of Poorly Immunogenic Tumors with Anti–PD-1 Treatment. Cancer Discovery. 11(8). 1970–1981. 56 indexed citations
3.
Liu, Yi, Brian Debo, Mingfeng Li, et al.. (2021). LSD1 inhibition sustains T cell invigoration with a durable response to PD-1 blockade. Nature Communications. 12(1). 6831–6831. 68 indexed citations
4.
Stergachis, Andrew B., Brian Debo, Eric Haugen, L. Stirling Churchman, & J Stamatoyannopoulos. (2020). Single-molecule regulatory architectures captured by chromatin fiber sequencing. Science. 368(6498). 1449–1454. 110 indexed citations
5.
Pascual‐García, Pau, Brian Debo, Jessica A. Talamas, et al.. (2017). Metazoan Nuclear Pores Provide a Scaffold for Poised Genes and Mediate Induced Enhancer-Promoter Contacts. Molecular Cell. 66(1). 63–76.e6. 99 indexed citations
6.
Moncla, Bernard J., Catherine A. Chappell, Brian Debo, & Leslie A. Meyn. (2016). The Effects of Hormones and Vaginal Microflora on the Glycome of the Female Genital Tract: Cervical-Vaginal Fluid. PLoS ONE. 11(7). e0158687–e0158687. 56 indexed citations
7.
Moncla, Bernard J., Catherine A. Chappell, Lara K. Mahal, et al.. (2015). Impact of Bacterial Vaginosis, as Assessed by Nugent Criteria and Hormonal Status on Glycosidases and Lectin Binding in Cervicovaginal Lavage Samples. PLoS ONE. 10(5). e0127091–e0127091. 30 indexed citations
8.
Moncla, Bernard J., Catherine A. Chappell, Brian Debo, et al.. (2014). The Effects of Hormones and Vaginal Microflora on the Content of MUC1, MUC4, MUC5AC and MUC7 in the Cervicovaginal Fluid (CVF). AIDS Research and Human Retroviruses. 30(S1). A29–A29. 1 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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