Michael Docktor

711 total citations
9 papers, 415 citations indexed

About

Michael Docktor is a scholar working on Molecular Biology, General Health Professions and Infectious Diseases. According to data from OpenAlex, Michael Docktor has authored 9 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in General Health Professions and 2 papers in Infectious Diseases. Recurrent topics in Michael Docktor's work include Gut microbiota and health (3 papers), Microscopic Colitis (2 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). Michael Docktor is often cited by papers focused on Gut microbiota and health (3 papers), Microscopic Colitis (2 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). Michael Docktor collaborates with scholars based in United States, Canada and United Kingdom. Michael Docktor's co-authors include Athos Bousvaros, Yan Fossat, Adam Palanica, Eric J. Alm, Georgia Giannoukos, Christopher S. Smillie, Joshua R. Korzenik, Doyle V. Ward, Ramnik J. Xavier and Diana Tabbaa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Michael Docktor

9 papers receiving 404 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 Docktor United States 7 250 111 89 75 73 9 415
Aynur Gülcan Türkiye 12 126 0.5× 55 0.5× 166 1.9× 144 1.9× 48 0.7× 30 498
Shrish Budree United States 12 246 1.0× 32 0.3× 153 1.7× 291 3.9× 8 0.1× 30 523
Rose Ann Mathai United States 5 112 0.4× 29 0.3× 59 0.7× 18 0.2× 85 1.2× 11 363
Abigail Armstrong United States 9 304 1.2× 14 0.1× 51 0.6× 205 2.7× 19 0.3× 12 472
Prachi Chakradeo United States 6 222 0.9× 35 0.3× 69 0.8× 168 2.2× 5 0.1× 9 423
Pamela Leong Australia 11 264 1.1× 111 1.0× 40 0.4× 22 0.3× 389 5.3× 15 726
Brooke C. Wilson New Zealand 10 460 1.8× 30 0.3× 93 1.0× 281 3.7× 7 0.1× 19 622
Diana Racusin United States 9 137 0.5× 14 0.1× 117 1.3× 24 0.3× 12 0.2× 26 544
Ross Maltz United States 10 150 0.6× 95 0.9× 57 0.6× 22 0.3× 2 0.0× 45 345
Liwen Xiao China 9 255 1.0× 13 0.1× 48 0.5× 59 0.8× 5 0.1× 15 436

Countries citing papers authored by Michael Docktor

Since Specialization
Citations

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

Fields of papers citing papers by Michael Docktor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Docktor

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Docktor. A scholar is included among the top collaborators of Michael Docktor 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 Docktor. Michael Docktor 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.
Zhang, Yanjia J., Athos Bousvaros, Michael Docktor, et al.. (2024). Higher alpha diversity and Lactobacillus blooms are associated with better engraftment after fecal microbiota transplant in inflammatory bowel disease. Scientific Reports. 14(1). 18188–18188. 6 indexed citations
2.
Ming, David Y., et al.. (2023). Outcomes of End-User Testing of a Care Coordination Mobile App With Families of Children With Special Health Care Needs: Simulation Study. JMIR Formative Research. 7. e43993–e43993. 7 indexed citations
3.
Pachamanova, Dessislava A., et al.. (2021). Identifying patterns in administrative tasks through structural topic modeling: A study of task definitions, prevalence, and shifts in a mental health practice’s operations during the COVID-19 pandemic. Journal of the American Medical Informatics Association. 28(12). 2707–2715. 6 indexed citations
4.
Palanica, Adam, et al.. (2020). The Need for Artificial Intelligence in Digital Therapeutics. SHILAP Revista de lepidopterología. 4(1). 21–25. 38 indexed citations
5.
Palanica, Adam, Michael Docktor, Andrew Lee, & Yan Fossat. (2019). Using mobile virtual reality to enhance medical comprehension and satisfaction in patients and their families. Perspectives on Medical Education. 8(2). 123–127. 20 indexed citations
6.
Palanica, Adam, et al.. (2019). Enhancing the Patient Experience for Individuals Undergoing Endoscopic Procedures Using Virtual Reality. Journal of Pediatric Gastroenterology and Nutrition. 70(3). 341–343. 2 indexed citations
7.
Papa, Eliseo, Michael Docktor, Christopher S. Smillie, et al.. (2012). Non-Invasive Mapping of the Gastrointestinal Microbiota Identifies Children with Inflammatory Bowel Disease. PLoS ONE. 7(6). e39242–e39242. 214 indexed citations
8.
Docktor, Michael, Bruce J. Paster, Shelly Abramowicz, et al.. (2011). Alterations in diversity of the oral microbiome in pediatric inflammatory bowel disease. Inflammatory Bowel Diseases. 18(5). 935–942. 121 indexed citations
9.
Docktor, Michael, et al.. (2011). The oral microbiome in children with inflammatory bowel disease.. Inflammatory Bowel Diseases. 17(suppl_1). S13–S13. 1 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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