Michael Crowley

1.2k total citations
22 papers, 518 citations indexed

About

Michael Crowley is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, Michael Crowley has authored 22 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Epidemiology and 6 papers in Surgery. Recurrent topics in Michael Crowley's work include Gut microbiota and health (8 papers), Urinary Tract Infections Management (6 papers) and Microbial Community Ecology and Physiology (3 papers). Michael Crowley is often cited by papers focused on Gut microbiota and health (8 papers), Urinary Tract Infections Management (6 papers) and Microbial Community Ecology and Physiology (3 papers). Michael Crowley collaborates with scholars based in United States, Australia and Mexico. Michael Crowley's co-authors include David K. Crossman, Elliot J. Lefkowitz, Ranjit Kumar, Casey D. Morrow, Glen C. Ulett, Peter Eipers, Mark A. Schembri, Xiangqin Cui, Richard I. Webb and Chee K. Tan and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Michael Crowley

22 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Crowley United States 11 197 176 67 64 63 22 518
Manher Joshi United States 8 118 0.6× 150 0.9× 57 0.9× 119 1.9× 98 1.6× 12 635
Ann Maria Clemente Italy 11 204 1.0× 251 1.4× 33 0.5× 39 0.6× 8 0.1× 16 532
Gang Ma China 15 171 0.9× 137 0.8× 106 1.6× 92 1.4× 16 0.3× 73 758
Tad Eichler United States 12 172 0.9× 152 0.9× 45 0.7× 7 0.1× 77 1.2× 17 523
Piotr Brzeziński Romania 9 82 0.4× 88 0.5× 34 0.5× 20 0.3× 15 0.2× 125 460
Clarissa Masur Germany 10 146 0.7× 217 1.2× 46 0.7× 10 0.2× 54 0.9× 21 480
Réka Szigeti United States 14 357 1.8× 60 0.3× 85 1.3× 53 0.8× 11 0.2× 33 621
Joana Chakraborty United States 11 98 0.5× 55 0.3× 60 0.9× 14 0.2× 39 0.6× 21 443
Juhi Bagaitkar United States 15 198 1.0× 53 0.3× 27 0.4× 77 1.2× 10 0.2× 21 698
Ana Maria Gonçalves da Silva Brazil 15 232 1.2× 179 1.0× 46 0.7× 14 0.2× 10 0.2× 38 804

Countries citing papers authored by Michael Crowley

Since Specialization
Citations

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

Fields of papers citing papers by Michael Crowley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Crowley

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Crowley. A scholar is included among the top collaborators of Michael Crowley 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 Michael Crowley. Michael Crowley 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
1.
Das, Ranjan, Eduardo Molina‐Jijón, Michael Crowley, et al.. (2023). Cytokine storm–based mechanisms for extrapulmonary manifestations of SARS-CoV-2 infection. JCI Insight. 8(10). 4 indexed citations
2.
Arora, Itika, Manvi Sharma, Shizhao Li, et al.. (2022). An integrated analysis of the effects of maternal broccoli sprouts exposure on transcriptome and methylome in prevention of offspring mammary cancer. PLoS ONE. 17(3). e0264858–e0264858. 5 indexed citations
3.
Filippova, Natalia, Jianmei W. Leavenworth, Xiuhua Yang, et al.. (2022). Targeting the TREM1-positive myeloid microenvironment in glioblastoma. Neuro-Oncology Advances. 4(1). vdac149–vdac149. 5 indexed citations
4.
Koo, Hyunmin, Joseph A. Hakim, David K. Crossman, et al.. (2021). IMMU-09. HUMAN MICROBIOTA INFLUENCE THE EFFICACY OF IMMUNOTHERAPY IN A MOUSE MODEL OF GLIOBLASTOMA. Neuro-Oncology. 23(Supplement_6). vi93–vi94. 1 indexed citations
6.
Kumar, Ranjit, Jayleen Grams, Daniel I. Chu, et al.. (2018). New microbe genomic variants in patients fecal community following surgical disruption of the upper human gastrointestinal tract. SHILAP Revista de lepidopterología. 10. 37–42. 10 indexed citations
7.
Koo, Hyunmin, Joseph A. Hakim, Mickie L. Powell, et al.. (2017). Metagenomics approach to the study of the gut microbiome structure and function in zebrafish Danio rerio fed with gluten formulated diet. Journal of Microbiological Methods. 135. 69–76. 33 indexed citations
8.
Arora, Sumant, et al.. (2017). PNPLA3 as a Genetic Determinant of Risk for Progression and Outcomes in Non-Alcoholic Fatty Liver Disease and Alcoholic Liver Disease. The American Journal of Gastroenterology. 112. S555–S555. 1 indexed citations
9.
Naik, Gurudatta, Dongquan Chen, Michael Crowley, et al.. (2016). Whole-exome sequencing (WES) of penile squamous cell carcinoma (PSCC) to identify multiple recurrent mutations.. Journal of Clinical Oncology. 34(2_suppl). 484–484. 3 indexed citations
10.
Carey, Alison J., Matthew J. Sullivan, Benjamin L. Duell, et al.. (2015). UropathogenicEscherichia coliEngages CD14-Dependent Signaling to Enable Bladder-Macrophage-Dependent Control of Acute Urinary Tract Infection. The Journal of Infectious Diseases. 213(4). 659–668. 34 indexed citations
11.
Korf, Bruce R., et al.. (2015). Hypomagnesemia due to two novel TRPM6 mutations. Journal of Pediatric Endocrinology and Metabolism. 28(11-12). 1373–8. 7 indexed citations
12.
Mehta, Amitkumar, Eddy S. Yang, Christopher D. Willey, et al.. (2015). Multiplatform comprehensive kinase analysis of penile squamous cell carcinoma (PSCC) to identify drivers and potentially actionable therapeutic targets.. Journal of Clinical Oncology. 33(7_suppl). 389–389. 2 indexed citations
14.
Kumar, Ranjit, Peter Eipers, Michael Crowley, et al.. (2014). Getting Started with Microbiome Analysis: Sample Acquisition to Bioinformatics. Current Protocols in Human Genetics. 82(1). 18.8.1–18.8.29. 124 indexed citations
15.
Koo, Hyunmin, Malay Kumar Basu, Michael Crowley, Jackie Aislabie, & Asim K. Bej. (2014). Draft Genome Sequence of Pseudomonas sp. Strain Ant30-3, a Psychrotolerant Bacterium with Biodegradative Attribute Isolated from Antarctica. Genome Announcements. 2(3). 1 indexed citations
16.
Duell, Benjamin L., Alison J. Carey, Chee K. Tan, et al.. (2012). Innate transcriptional networks activated in bladder in response to uropathogenic Escherichia coli drive diverse biological pathways and rapid synthesis of IL-10 for defense against bacterial urinary tract infection. QUT ePrints (Queensland University of Technology). 2 indexed citations
19.
Ulett, Glen C., Richard I. Webb, Kimberly B. Ulett, et al.. (2010). Group BStreptococcus(GBS) Urinary Tract Infection Involves Binding of GBS to Bladder Uroepithelium and Potent but GBS‐Specific Induction of Interleukin 1α. The Journal of Infectious Diseases. 201(6). 866–870. 42 indexed citations
20.
Sohn, Philip, et al.. (2002). Developmental and TGF-β-mediated regulation of Ank mRNA expression in cartilage and bone. Osteoarthritis and Cartilage. 10(6). 482–490. 37 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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