Bridget M. Lin

1.6k total citations
11 papers, 99 citations indexed

About

Bridget M. Lin is a scholar working on Molecular Biology, Epidemiology and Periodontics. According to data from OpenAlex, Bridget M. Lin has authored 11 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Periodontics. Recurrent topics in Bridget M. Lin's work include Metabolomics and Mass Spectrometry Studies (5 papers), Oral microbiology and periodontitis research (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Bridget M. Lin is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (5 papers), Oral microbiology and periodontitis research (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Bridget M. Lin collaborates with scholars based in United States, Sweden and Australia. Bridget M. Lin's co-authors include Kimon Divaris, Jeffrey Roach, Di Wu, Apoena Aguiar Ribeiro, Alena Orlenko, Hyun Koo, Miguel Simancas‐Pallares, Andréa G. Ferreira Zandoná, M. Andrea Azcárate-Peril and Jason H. Moore and has published in prestigious journals such as Nature Communications, Kidney International and Diabetologia.

In The Last Decade

Bridget M. Lin

10 papers receiving 98 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bridget M. Lin United States	6	49	37	14	10	9	11	99
Gianmarco Piccinno Italy	3	43 0.9×	2 0.1×	32 2.3×	17 1.7×		6	76
MP Fantini Italy	3	22 0.4×	2 0.1×	14 1.0×	12 1.2×		6	84
D Clayton United Kingdom	5	17 0.3×	11 0.3×	7 0.5×	3 0.3×		12	120
Pavandip Singh Wasan Singapore	2	18 0.4×	3 0.1×	10 0.7×	3 0.3×		2	48
Katinka Fischer Germany	3	11 0.2×	7 0.2×	1 0.1×	4 0.4×		5	45
Dong Qin Dai China	3	13 0.3×	15 0.4×		3 0.3×		5	33
Till Birkner Germany	4	44 0.9×		22 1.6×	9 0.9×		6	70
Meganne Ferrel United States	5	19 0.4×		8 0.6×	10 1.0×		10	80
Jason A Anderson United States	4	6 0.1×	3 0.1×	27 1.9×	27 2.7×		4	97
Lijuan Sun China	6	32 0.7×		4 0.3×	6 0.6×		16	85

Countries citing papers authored by Bridget M. Lin

Since Specialization

Citations

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

Fields of papers citing papers by Bridget M. Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bridget M. Lin. 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 Bridget M. Lin. The network helps show where Bridget M. Lin may publish in the future.

Co-authorship network of co-authors of Bridget M. Lin

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

All Works

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11 of 11 papers shown

Haukka, Jani K., Erkka Valo, Anna Syreeni, et al.. (2024). Whole-exome and whole-genome sequencing of 1064 individuals with type 1 diabetes reveals novel genes for diabetic kidney disease. Diabetologia. 67(11). 2494–2506.

Breeze, Charles E., Bridget M. Lin, Cheryl A. Winkler, & Nora Franceschini. (2024). African ancestry-derived APOL1 risk genotypes show proximal epigenetic associations. BMC Genomics. 25(1). 452–452. 3 indexed citations

Horimoto, Andréa R. V. R., Bridget M. Lin, Ying Zhang, et al.. (2023). Ancestry-driven metabolite variation provides insights into disease states in admixed populations. Genome Medicine. 15(1). 52–52. 5 indexed citations

Ren, Zhi, Kimon Divaris, Jeffrey Roach, et al.. (2023). Selenomonas sputigena acts as a pathobiont mediating spatial structure and biofilm virulence in early childhood caries. Nature Communications. 14(1). 2919–2919. 28 indexed citations

Lin, Bridget M., Chengwen Li, Jeffrey Roach, et al.. (2023). BZINB Model-Based Pathway Analysis and Module Identification Facilitates Integration of Microbiome and Metabolome Data. Microorganisms. 11(3). 766–766. 1 indexed citations

Li, Chengwen, Bridget M. Lin, Jeffrey Roach, et al.. (2023). Comprehensive evaluation of methods for differential expression analysis of metatranscriptomics data. Briefings in Bioinformatics. 24(5). 8 indexed citations

Lin, Bridget M., Nicole D. Armstrong, Filip Ottosson, et al.. (2022). Circulating Metabolites Associated with Albuminuria in a Hispanic/Latino Population. Clinical Journal of the American Society of Nephrology. 18(2). 204–212. 1 indexed citations

Lin, Bridget M., Alena Orlenko, Apoena Aguiar Ribeiro, et al.. (2021). Metabolomics Insights in Early Childhood Caries. Journal of Dental Research. 100(6). 615–622. 27 indexed citations

Lin, Bridget M., Ying Zhang, Bing Yu, et al.. (2021). Metabolome-wide association study of estimated glomerular filtration rates in Hispanics. Kidney International. 101(1). 144–151. 6 indexed citations

10.

Lin, Bridget M., Dipankar Bandyopadhyay, Fei Zou, et al.. (2021). Improved Metabolite Prediction Using Microbiome Data-Based Elastic Net Models. Frontiers in Cellular and Infection Microbiology. 11. 734416–734416. 11 indexed citations

11.

Gao, Fei, G. Frank Liu, Donglin Zeng, et al.. (2017). Control‐based imputation for sensitivity analyses in informative censoring for recurrent event data. Pharmaceutical Statistics. 16(6). 424–432. 9 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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