Sarah E. Kleinstein

630 total citations
10 papers, 358 citations indexed

About

Sarah E. Kleinstein is a scholar working on Epidemiology, Genetics and Surgery. According to data from OpenAlex, Sarah E. Kleinstein has authored 10 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 3 papers in Genetics and 2 papers in Surgery. Recurrent topics in Sarah E. Kleinstein's work include Oral microbiology and periodontitis research (2 papers), Estrogen and related hormone effects (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Sarah E. Kleinstein is often cited by papers focused on Oral microbiology and periodontitis research (2 papers), Estrogen and related hormone effects (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Sarah E. Kleinstein collaborates with scholars based in United States, United Kingdom and New Zealand. Sarah E. Kleinstein's co-authors include Marcelo Freire, William Nelson, Andrew S. Allen, Hongzhe Guo, Renjie Tan, Yongzhuang Liu, Mingfu Zhu, Qinghua Jiang, Yadong Wang and Xiaolin Zhu and has published in prestigious journals such as PLoS ONE, Journal of Hepatology and Journal of Dental Research.

In The Last Decade

Sarah E. Kleinstein

10 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah E. Kleinstein United States 8 131 121 75 71 38 10 358
Disha Sharma India 9 34 0.3× 186 1.5× 100 1.3× 36 0.5× 38 1.0× 59 351
Yuqin Shen China 7 35 0.3× 143 1.2× 48 0.6× 11 0.2× 31 0.8× 15 279
Elena Makoveichuk Sweden 14 74 0.6× 109 0.9× 69 0.9× 13 0.2× 53 1.4× 18 489
Ya Xia China 13 51 0.4× 251 2.1× 54 0.7× 8 0.1× 55 1.4× 17 429
Shanel Raghubeer South Africa 10 38 0.3× 152 1.3× 90 1.2× 11 0.2× 38 1.0× 21 364
Najla Kharrat Tunisia 13 57 0.4× 144 1.2× 10 0.1× 13 0.2× 29 0.8× 38 324
Fernando Henrique Galvão Tessaro Brazil 9 32 0.2× 100 0.8× 39 0.5× 9 0.1× 26 0.7× 15 321
Nana Tang China 11 54 0.4× 217 1.8× 79 1.1× 5 0.1× 28 0.7× 32 338
Shengbao Li China 10 17 0.1× 181 1.5× 30 0.4× 26 0.4× 25 0.7× 30 381
Georgeta Camelia Cozaru Romania 12 17 0.1× 91 0.8× 35 0.5× 16 0.2× 18 0.5× 55 333

Countries citing papers authored by Sarah E. Kleinstein

Since Specialization
Citations

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

Fields of papers citing papers by Sarah E. Kleinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah E. Kleinstein. 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 Sarah E. Kleinstein. The network helps show where Sarah E. Kleinstein may publish in the future.

Co-authorship network of co-authors of Sarah E. Kleinstein

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

All Works

10 of 10 papers shown
1.
Kleinstein, Sarah E., Chris Chamberlain, Duncan McHale, et al.. (2022). A genome-wide screen for variants influencing certolizumab pegol response in a moderate to severe rheumatoid arthritis population. PLoS ONE. 17(4). e0261165–e0261165. 3 indexed citations
2.
Kleinstein, Sarah E., Jamison McCorrison, A. Razzaque Ahmed, et al.. (2021). Transcriptomics of type 2 diabetic and healthy human neutrophils. BMC Immunology. 22(1). 37–37. 15 indexed citations
3.
Kleinstein, Sarah E., et al.. (2020). Impaired host response and the presence of Acinetobacter baumannii in the serum microbiome of type-II diabetic patients. iScience. 24(1). 101941–101941. 12 indexed citations
4.
Kleinstein, Sarah E., William Nelson, & Marcelo Freire. (2020). Inflammatory Networks Linking Oral Microbiome with Systemic Health and Disease. Journal of Dental Research. 99(10). 1131–1139. 97 indexed citations
5.
Kleinstein, Sarah E., Patrick R. Shea, Andrew S. Allen, et al.. (2018). Genome-wide association study (GWAS) of human host factors influencing viral severity of herpes simplex virus type 2 (HSV-2). Genes and Immunity. 20(2). 112–120. 14 indexed citations
6.
Kleinstein, Sarah E., Manal F. Abdelmalek, Cynthia D. Guy, et al.. (2018). Whole‐Exome Sequencing Study of Extreme Phenotypes of NAFLD. Hepatology Communications. 2(9). 1021–1029. 8 indexed citations
8.
Tan, Renjie, Yadong Wang, Sarah E. Kleinstein, et al.. (2014). An Evaluation of Copy Number Variation Detection Tools from Whole-Exome Sequencing Data. Human Mutation. 35(7). 899–907. 140 indexed citations
9.
Kleinstein, Sarah E., Laura Heath, Karen W. Makar, et al.. (2013). Genetic variation in the lipoxygenase pathway and risk of colorectal neoplasia. Genes Chromosomes and Cancer. 52(5). 437–449. 32 indexed citations
10.
Makar, Karen W., Elizabeth M. Poole, Alexa J. Resler, et al.. (2013). COX-1 (PTGS1) and COX-2 (PTGS2) polymorphisms, NSAID interactions, and risk of colon and rectal cancers in two independent populations. Cancer Causes & Control. 24(12). 2059–2075. 36 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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