Connor Brown

1.1k total citations · 1 hit paper
20 papers, 531 citations indexed

About

Connor Brown is a scholar working on Molecular Biology, Molecular Medicine and Pollution. According to data from OpenAlex, Connor Brown has authored 20 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Molecular Medicine and 6 papers in Pollution. Recurrent topics in Connor Brown's work include Antibiotic Resistance in Bacteria (7 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers) and Genomics and Phylogenetic Studies (5 papers). Connor Brown is often cited by papers focused on Antibiotic Resistance in Bacteria (7 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers) and Genomics and Phylogenetic Studies (5 papers). Connor Brown collaborates with scholars based in United States, India and Canada. Connor Brown's co-authors include Amy Pruden, Peter J. Vikesland, Ishi Keenum, Liqing Zhang, Suraj Gupta, Min‐Young Choi, Dongjuan Dai, Carl‐Fredrik Flach, Indumathi M. Nambi and Helmut Bürgmann and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Connor Brown

19 papers receiving 526 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.

mobileOG-db: a Manually Curated Database of Protein Families Mediating the Life Cycle of Bacterial Mobile Genetic Elements

2022 234 citations Connor Brown, Suraj Gupta et al. Applied and Environmental Microbiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Connor Brown United States	8	231	211	170	157	67	20	531
Xavier Bellanger France	13	194 0.8×	261 1.2×	200 1.2×	207 1.3×	69 1.0×	21	723
Timothy M. Ghaly Australia	15	321 1.4×	192 0.9×	303 1.8×	231 1.5×	97 1.4×	28	728
Qiu E. Yang China	12	233 1.0×	151 0.7×	275 1.6×	109 0.7×	113 1.7×	24	613
Ishi Keenum United States	12	417 1.8×	250 1.2×	246 1.4×	206 1.3×	64 1.0×	26	818
Qiue Yang China	15	257 1.1×	150 0.7×	240 1.4×	193 1.2×	91 1.4×	25	616
Syed Qaswar Ali Shah Norway	8	308 1.3×	143 0.7×	228 1.3×	108 0.7×	97 1.4×	14	650
Shahbaz Raza South Korea	10	258 1.1×	92 0.4×	192 1.1×	84 0.5×	69 1.0×	25	437
Javier Moreno Spain	9	142 0.6×	120 0.6×	150 0.9×	50 0.3×	81 1.2×	17	481
Mohammad Tahir Siddiqui India	11	207 0.9×	159 0.8×	341 2.0×	58 0.4×	105 1.6×	14	597
Yulin Fu China	13	302 1.3×	83 0.4×	339 2.0×	128 0.8×	71 1.1×	28	523

Countries citing papers authored by Connor Brown

Since Specialization

Citations

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

Fields of papers citing papers by Connor Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connor Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Connor Brown. A scholar is included among the top collaborators of Connor Brown 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 Connor Brown. Connor Brown 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

Maile-Moskowitz, Ayella, Connor Brown, Carla V. Finkielstein, et al.. (2025). Relating antimicrobial use to wastewater resistance gene patterns via metagenomic analysis of two neighboring treatment plants circa the COVID-19 pandemic. PubMed. 3(1). 82–82. 1 indexed citations

Brown, Connor, Suraj Gupta, Ali R. Butt, et al.. (2025). CIWARS: A Web Server for Antibiotic Resistance Surveillance Using Longitudinal Metagenomic Data. Journal of Molecular Biology. 437(15). 169159–169159.

Brown, Connor, et al.. (2025). Antimicrobial resistance transmission in the environmental settings through traditional and UV-enabled advanced wastewater treatment plants: a metagenomic insight. Environmental Microbiome. 20(1). 27–27. 7 indexed citations

Kang, Seju, Ayella Maile-Moskowitz, Connor Brown, et al.. (2024). Highly Multiplexed Reverse-Transcription Loop-Mediated Isothermal Amplification and Nanopore Sequencing (LAMPore) for Wastewater-Based Surveillance. ACS ES&T Water. 4(4). 1629–1636. 1 indexed citations

Keenum, Ishi, Connor Brown, Xia Kang, et al.. (2024). A machine learning framework to predict PPCP removal through various wastewater and water reuse treatment trains. Environmental Science Water Research & Technology. 11(2). 481–493. 2 indexed citations

Oh, Min, Benjamin C. Davis, Connor Brown, et al.. (2024). MetaCompare 2.0: differential ranking of ecological and human health resistome risks. FEMS Microbiology Ecology. 100(12). 16 indexed citations

Pham, Thi Mui, Megan E. Carey, Bryan A. Wee, et al.. (2024). Conference report of the 2024 Antimicrobial Resistance Meeting. SHILAP Revista de lepidopterología. 2(1). 43–43. 1 indexed citations

Brown, Connor, Ayella Maile-Moskowitz, Allison J. Lopatkin, et al.. (2024). Selection and horizontal gene transfer underlie microdiversity-level heterogeneity in resistance gene fate during wastewater treatment. Nature Communications. 15(1). 5412–5412. 35 indexed citations

Brown, Connor, et al.. (2024). Effects of Copper on Legionella pneumophila Revealed via Viability Assays and Proteomics. Pathogens. 13(7). 563–563. 1 indexed citations

10.

Williams, Myra D., et al.. (2023). Premise Plumbing Pipe Materials and In-Building Disinfectants Shape the Potential for Proliferation of Pathogens and Antibiotic Resistance Genes. Environmental Science & Technology. 57(50). 21382–21394. 8 indexed citations

11.

Davis, Benjamin C., Connor Brown, Suraj Gupta, et al.. (2023). Recommendations for the use of metagenomics for routine monitoring of antibiotic resistance in wastewater and impacted aquatic environments. Critical Reviews in Environmental Science and Technology. 53(19). 1731–1756. 38 indexed citations

12.

Sorensen, Cecilia, et al.. (2023). Extramural US Federal Research Grants For Health Outcomes Associated With Climate Change Inadequate, Too Narrow In Focus. Health Affairs. 42(9). 1289–1297. 1 indexed citations

13.

Dai, Dongjuan, Connor Brown, Helmut Bürgmann, et al.. (2022). Long-read metagenomic sequencing reveals shifts in associations of antibiotic resistance genes with mobile genetic elements from sewage to activated sludge. Microbiome. 10(1). 20–20. 108 indexed citations

14.

Zhang, Liqing, et al.. (2022). Towards Automatic Curation of Antibiotic Resistance Genes via Statement Extraction from Scientific Papers: A Benchmark Dataset and Models. 402–411. 1 indexed citations

15.

Brown, Connor, Suraj Gupta, Min‐Young Choi, et al.. (2022). mobileOG-db: a Manually Curated Database of Protein Families Mediating the Life Cycle of Bacterial Mobile Genetic Elements. Applied and Environmental Microbiology. 88(18). e0099122–e0099122. 234 indexed citations breakdown →

16.

Brown, Connor, Ishi Keenum, Dongjuan Dai, et al.. (2021). Critical evaluation of short, long, and hybrid assembly for contextual analysis of antibiotic resistance genes in complex environmental metagenomes. Scientific Reports. 11(1). 3753–3753. 54 indexed citations

17.

Brown, Connor, Emily Garner, Guillaume Jospin, et al.. (2020). Whole genome sequence analysis reveals the broad distribution of the RtxA type 1 secretion system and four novel putative type 1 secretion systems throughout the Legionella genus. PLoS ONE. 15(1). e0223033–e0223033. 5 indexed citations

18.

Brown, Connor, et al.. (2019). Standardized Environment for Monitoring Heterogeneous Architectures. 1–5. 1 indexed citations

19.

Garner, Emily, Connor Brown, David Otto Schwake, et al.. (2019). Comparison of Whole-Genome Sequences ofLegionella pneumophilain Tap Water and in Clinical Strains, Flint, Michigan, USA, 2016. Emerging infectious diseases. 25(11). 2013–2020. 16 indexed citations

20.

RITTER, STEPHEN K., et al.. (2018). True Random Number Generator using Solar Output Characteristics. 224–226. 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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