Janet Chow

4.9k total citations · 1 hit paper
9 papers, 3.7k citations indexed

About

Janet Chow is a scholar working on Molecular Biology, Infectious Diseases and Biological Psychiatry. According to data from OpenAlex, Janet Chow has authored 9 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Infectious Diseases and 2 papers in Biological Psychiatry. Recurrent topics in Janet Chow's work include Gut microbiota and health (5 papers), Clostridium difficile and Clostridium perfringens research (4 papers) and Tryptophan and brain disorders (2 papers). Janet Chow is often cited by papers focused on Gut microbiota and health (5 papers), Clostridium difficile and Clostridium perfringens research (4 papers) and Tryptophan and brain disorders (2 papers). Janet Chow collaborates with scholars based in United States and United Kingdom. Janet Chow's co-authors include Sarkis K. Mazmanian, Paul H. Patterson, Elaine Y. Hsiao, Sara W. McBride, Joseph F. Petrosino, Gil Sharon, Sarah E. Reisman, Sophia Hsien, Julian A. Codelli and Embriette R. Hyde and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Human Molecular Genetics.

In The Last Decade

Janet Chow

9 papers receiving 3.6k citations

Hit Papers

Microbiota Modulate Behavioral and Physiological Abnormal... 2013 2026 2017 2021 2013 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janet Chow United States 8 2.4k 674 669 524 446 9 3.7k
Sara W. McBride United States 10 2.0k 0.9× 539 0.8× 632 0.9× 395 0.8× 442 1.0× 11 3.3k
Rochellys Diaz Heijtz Sweden 22 2.3k 1.0× 853 1.3× 956 1.4× 274 0.5× 288 0.6× 41 3.7k
Sophia Hsien United States 1 1.7k 0.7× 515 0.8× 565 0.8× 294 0.6× 326 0.7× 4 2.4k
Yu Qian China 17 2.2k 0.9× 803 1.2× 881 1.3× 242 0.5× 171 0.4× 33 3.4k
Britta Björkholm Sweden 15 2.1k 0.9× 717 1.1× 726 1.1× 469 0.9× 107 0.2× 21 3.6k
Ruth Ann Luna United States 32 2.1k 0.9× 728 1.1× 349 0.5× 603 1.2× 235 0.5× 76 3.7k
Roman M. Stilling Ireland 24 3.4k 1.4× 1.4k 2.0× 1.1k 1.7× 266 0.5× 213 0.5× 30 4.8k
Kiera Murphy Ireland 24 2.8k 1.2× 1.1k 1.6× 665 1.0× 422 0.8× 100 0.2× 37 4.2k
Shugui Wang Singapore 9 2.0k 0.8× 707 1.0× 734 1.1× 274 0.5× 114 0.3× 9 2.9k
Timothy R. Sampson United States 19 4.3k 1.8× 1.7k 2.5× 1.3k 1.9× 562 1.1× 137 0.3× 59 6.8k

Countries citing papers authored by Janet Chow

Since Specialization
Citations

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

Fields of papers citing papers by Janet Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janet Chow

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

All Works

9 of 9 papers shown
1.
Chow, Janet. (2017). Realising the potential of user surveys for improving academic libraries: The case of St John’s College, Cambridge. Journal of Librarianship and Information Science. 51(3). 689–701. 5 indexed citations
2.
Müller, Axel, Morgan Beeby, Alasdair W. McDowall, et al.. (2014). Ultrastructure and complex polar architecture of the human pathogen Campylobacter jejuni. MicrobiologyOpen. 3(5). 702–710. 18 indexed citations
3.
Hsiao, Elaine Y., Sara W. McBride, Sophia Hsien, et al.. (2013). Microbiota Modulate Behavioral and Physiological Abnormalities Associated with Neurodevelopmental Disorders. Cell. 155(7). 1451–1463. 2424 indexed citations breakdown →
4.
Hsiao, Elaine Y., Sara W. McBride, Janet Chow, Sarkis K. Mazmanian, & Paul H. Patterson. (2012). Modeling an autism risk factor in mice leads to permanent immune dysregulation. Proceedings of the National Academy of Sciences. 109(31). 12776–12781. 276 indexed citations
5.
Chow, Janet, Haiqing Tang, & Sarkis K. Mazmanian. (2011). Pathobionts of the gastrointestinal microbiota and inflammatory disease. Current Opinion in Immunology. 23(4). 473–480. 327 indexed citations
6.
Chow, Janet, et al.. (2010). Host–Bacterial Symbiosis in Health and Disease. Advances in immunology. 107. 243–274. 329 indexed citations
7.
Chow, Janet & Sarkis K. Mazmanian. (2010). A Pathobiont of the Microbiota Balances Host Colonization and Intestinal Inflammation. Cell Host & Microbe. 7(4). 265–276. 228 indexed citations
8.
Chow, Janet & Sarkis K. Mazmanian. (2009). Getting the Bugs out of the Immune System: Do Bacterial Microbiota “Fix” Intestinal T Cell Responses?. Cell Host & Microbe. 5(1). 8–12. 41 indexed citations
9.
Shen, Yin, Janet Chow, Zunde Wang, & Guoping Fan. (2006). Abnormal CpG island methylation occurs during in vitro differentiation of human embryonic stem cells. Human Molecular Genetics. 15(17). 2623–2635. 65 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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