Janet Markle

5.1k total citations · 1 hit paper
22 papers, 2.2k citations indexed

About

Janet Markle is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Janet Markle has authored 22 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 8 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Janet Markle's work include Immunodeficiency and Autoimmune Disorders (7 papers), Immune Cell Function and Interaction (6 papers) and Diabetes and associated disorders (4 papers). Janet Markle is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (7 papers), Immune Cell Function and Interaction (6 papers) and Diabetes and associated disorders (4 papers). Janet Markle collaborates with scholars based in United States, Canada and France. Janet Markle's co-authors include Jayne S. Danska, Daniel N. Frank, Martin von Bergen�, Andrew J. Macpherson, Kathy D. McCoy, Charles E. Robertson, Steven Mortin-Toth, Leah M. Feazel, Ulrike Rolle‐Kampczyk and Eleanor N. Fish and has published in prestigious journals such as Science, Journal of Biological Chemistry and Blood.

In The Last Decade

Janet Markle

18 papers receiving 2.2k citations

Hit Papers

Sex Differences in the Gut Microbiome Drive Hormone-Depen... 2013 2026 2017 2021 2013 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janet Markle United States 10 1.1k 510 389 350 332 22 2.2k
Stephanie C. Ganal‐Vonarburg Switzerland 16 1.4k 1.2× 647 1.3× 399 1.0× 369 1.1× 259 0.8× 25 2.5k
Bahtiyar Yılmaz Switzerland 24 1.6k 1.4× 500 1.0× 405 1.0× 423 1.2× 412 1.2× 63 2.8k
Steven Mortin-Toth Canada 11 1.1k 1.0× 666 1.3× 428 1.1× 231 0.7× 455 1.4× 12 2.2k
Charisse Petersen Canada 21 1.7k 1.5× 359 0.7× 466 1.2× 490 1.4× 234 0.7× 40 2.7k
Tatiana Takiishi Belgium 13 688 0.6× 355 0.7× 392 1.0× 255 0.7× 417 1.3× 18 2.6k
Tamotsu Kato Japan 25 1.2k 1.0× 402 0.8× 460 1.2× 232 0.7× 228 0.7× 66 2.3k
Andrew B. Shreiner United States 16 1.2k 1.1× 329 0.6× 448 1.2× 449 1.3× 215 0.6× 17 2.3k
Ayshwarya Subramanian United States 12 1.8k 1.6× 405 0.8× 419 1.1× 230 0.7× 204 0.6× 16 2.8k
Michael Abrouk United States 19 1.4k 1.2× 602 1.2× 771 2.0× 215 0.6× 182 0.5× 55 2.9k
Derya Uçmak Türkiye 13 1.4k 1.2× 434 0.9× 733 1.9× 222 0.6× 178 0.5× 53 2.6k

Countries citing papers authored by Janet Markle

Since Specialization
Citations

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

Fields of papers citing papers by Janet Markle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janet Markle

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

All Works

20 of 20 papers shown
2.
Zuffa, Simone, Helena Mannochio-Russo, Lindsey A. Burnett, et al.. (2025). Fecal microbial and metabolic signatures in children with very early onset inflammatory bowel disease. npj Biofilms and Microbiomes. 12(1). 33–33.
3.
Zhen, Xin, Andrew R. Patterson, Selma Scheffler‐Mendoza, et al.. (2024). Molecular and Clinical Characterization of a Founder Mutation Causing G6PC3 Deficiency. Journal of Clinical Immunology. 45(1). 53–53.
4.
Bhattad, Sagar, et al.. (2024). Immune dysregulation due to bi-allelic mutation of the actin remodeling protein DIAPH1. Frontiers in Immunology. 15. 1406781–1406781. 3 indexed citations
5.
Patterson, Andrew R., Ayaka Sugiura, Erin Q. Jennings, et al.. (2024). Functional overlap of inborn errors of immunity and metabolism genes defines T cell metabolic vulnerabilities. Science Immunology. 9(98). eadh0368–eadh0368. 5 indexed citations
6.
Bhattad, Sagar, et al.. (2023). Hermansky-Pudlak syndrome with early onset inflammatory bowel disease due to loss of dysbindin expression. European Journal of Medical Genetics. 66(7). 104786–104786. 2 indexed citations
7.
Pedroza, Luis Alberto, et al.. (2023). Clinical and cellular phenotypes resulting from a founder mutation in IL10RB. Clinical & Experimental Immunology. 216(2). 113–119.
8.
Liu, Qi, et al.. (2023). Human OTULIN mutations can cause distinct inflammatory disease phenotypes depending on the protein domain that is mutated. The Journal of Immunology. 210(Supplement_1). 149.12–149.12. 2 indexed citations
9.
Ishii, Lisa E., et al.. (2021). Case Report: Infantile Urticaria as a Herald of Neonatal Onset Multisystem Inflammatory Disease With a Novel Mutation in NLRP3. Frontiers in Immunology. 12. 775140–775140. 2 indexed citations
10.
García‐Solis, Blanca, Anas M. Alazami, Lazaro Lorenzo, et al.. (2021). Clinical and Immunological Features of Human BCL10 Deficiency. Frontiers in Immunology. 12. 786572–786572. 12 indexed citations
11.
Rosain, Jérémie, Xiao‐Fei Kong, Rubén Martínez‐Barricarte, et al.. (2018). Mendelian susceptibility to mycobacterial disease: 2014–2018 update. Immunology and Cell Biology. 97(4). 360–367. 130 indexed citations
12.
Okada, Satoshi, Janet Markle, Masao Kobayashi, Jacinta Bustamante, & Jean‐Laurent Casanova. (2015). Impairment of IL-17 Immunity to Candida and IFN-g Immunity to Mycobacterium in Humans with Bi-Allelic Rorc mutations. Blood. 126(23). 205–205. 2 indexed citations
13.
Motta, Vinicius N., Janet Markle, Steven Mortin-Toth, et al.. (2015). Identification of the Inflammasome Nlrp1b as the Candidate Gene Conferring Diabetes Risk at the Idd4.1 Locus in the Nonobese Diabetic Mouse. The Journal of Immunology. 194(12). 5663–5673. 7 indexed citations
14.
Markle, Janet, et al.. (2014). Comparison of assembly algorithms for improving rate of metatranscriptomic functional annotation. Microbiome. 2(1). 39–39. 38 indexed citations
15.
Markle, Janet, Daniel N. Frank, Khosrow Adeli, Martin von Bergen�, & Jayne S. Danska. (2014). Microbiome manipulation modifies sex-specific risk for autoimmunity. Gut Microbes. 5(4). 485–493. 58 indexed citations
16.
Markle, Janet, Daniel N. Frank, Steven Mortin-Toth, et al.. (2013). Sex Differences in the Gut Microbiome Drive Hormone-Dependent Regulation of Autoimmunity. Science. 339(6123). 1084–1088. 1492 indexed citations breakdown →
17.
Markle, Janet & Eleanor N. Fish. (2013). SeXX matters in immunity. Trends in Immunology. 35(3). 97–104. 269 indexed citations
18.
Markle, Janet, et al.. (2013). γδ T Cells Are Essential Effectors of Type 1 Diabetes in the Nonobese Diabetic Mouse Model. The Journal of Immunology. 190(11). 5392–5401. 55 indexed citations
19.
Xiong, Xuejian, Daniel N. Frank, Charles E. Robertson, et al.. (2012). Generation and Analysis of a Mouse Intestinal Metatranscriptome through Illumina Based RNA-Sequencing. PLoS ONE. 7(4). e36009–e36009. 44 indexed citations
20.
Beyea, Michael M., Claire Heslop, Cynthia G. Sawyez, et al.. (2006). Selective Up-regulation of LXR-regulated Genes ABCA1, ABCG1, and APOE in Macrophages through Increased Endogenous Synthesis of 24(S),25-Epoxycholesterol. Journal of Biological Chemistry. 282(8). 5207–5216. 85 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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