Microfluidic Organ-on-a-Chip Models of Human Intestine
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Countries where authors are citing Microfluidic Organ-on-a-Chip Models of Human Intestine
This map shows the geographic impact of Microfluidic Organ-on-a-Chip Models of Human Intestine. 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 Microfluidic Organ-on-a-Chip Models of Human Intestine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Microfluidic Organ-on-a-Chip Models of Human Intestine more than expected).
Fields of papers citing Microfluidic Organ-on-a-Chip Models of Human Intestine
This network shows the impact of Microfluidic Organ-on-a-Chip Models of Human Intestine. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Microfluidic Organ-on-a-Chip Models of Human Intestine.
About Microfluidic Organ-on-a-Chip Models of Human Intestine
This paper, published in 2018, received 488 indexed citations . Written by Amir Bein, Woojung Shin, Sasan Jalili‐Firoozinezhad, Min Hee Park, Alexandra Sontheimer-Phelps, Alessio Tovaglieri, Angeliki Chalkiadaki, Hyun Jung Kim and Donald E. Ingber covering the research area of Biomedical Engineering and Oncology. It is primarily cited by scholars working on Biomedical Engineering (318 citations), Molecular Biology (139 citations), Oncology (88 citations), Cellular and Molecular Neuroscience (46 citations) and Surgery (40 citations). Published in Cellular and Molecular Gastroenterology and Hepatology.
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.
This paper is also available at doi.org/10.1016/j.jcmgh.2017.12.010.