Dae Joong Kang

985 total citations
7 papers, 693 citations indexed

About

Dae Joong Kang is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Dae Joong Kang has authored 7 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Epidemiology and 3 papers in Physiology. Recurrent topics in Dae Joong Kang's work include Liver Disease Diagnosis and Treatment (6 papers), Gut microbiota and health (5 papers) and Liver Disease and Transplantation (2 papers). Dae Joong Kang is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Gut microbiota and health (5 papers) and Liver Disease and Transplantation (2 papers). Dae Joong Kang collaborates with scholars based in United States, Japan and Spain. Dae Joong Kang's co-authors include Jasmohan S. Bajaj, Patrick M. Gillevet, Phillip B. Hylemon, Douglas M. Heuman, Masoumeh Sikaroodi, Arun J. Sanyal, Naga S. Betrapally, Melanie B. White, Kalyani Daita and Ariel Unser and has published in prestigious journals such as Hepatology, Scientific Reports and American Journal of Physiology-Gastrointestinal and Liver Physiology.

In The Last Decade

Dae Joong Kang

7 papers receiving 687 citations

Peers

Countries citing papers authored by Dae Joong Kang

Since Specialization

Citations

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

Fields of papers citing papers by Dae Joong Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae Joong Kang. 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 Dae Joong Kang. The network helps show where Dae Joong Kang may publish in the future.

Co-authorship network of co-authors of Dae Joong Kang

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

All Works

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7 of 7 papers shown

#	Work	Indexed citations
1	Gut microbiota manipulation during the prepubertal period shapes behavioral abnormalities in a mouse neurodevelopmental disorder model 2020 ·Scientific Reports ·Justin M. Saunders, José L. Moreno, Daisuke Ibi, Masoumeh Sikaroodi, Dae Joong Kang, Raquel Muñoz-Moreno, (unknown), Adolfo Garcı́a-Sastre, Patrick M. Gillevet, Mikhail G. Dozmorov, Jasmohan S. Bajaj, Javier González‐Maeso	25
2	Continued Alcohol Misuse in Human Cirrhosis is Associated with an Impaired Gut–Liver Axis 2017 ·Alcoholism Clinical and Experimental Research ·Jasmohan S. Bajaj, Genta Kakiyama, Derrick Zhao, Hajime Takei, Andrew Fagan, Phillip B. Hylemon, Huiping Zhou, William M. Pandak, Hiroshi Nittono, Oliver Fiehn, Nita H. Salzman, Mary L. Holtz, Pippa Simpson, Edith Gavis, Douglas M. Heuman, Runping Liu, Dae Joong Kang, Masoumeh Sikaroodi, Patrick M. Gillevet	92
3	Gut microbial composition can differentially regulate bile acid synthesis in humanized mice 2017 ·Hepatology Communications ·Dae Joong Kang, Phillip B. Hylemon, Patrick M. Gillevet, R. Balfour Sartor, Naga S. Betrapally, Genta Kakiyama, Masoumeh Sikaroodi, Hajime Takei, Hiroshi Nittono, Huiping Zhou, William M. Pandak, Jing Yang, Chunhua Jiao, Xiaojiaoyang Li, H Lippman, Douglas M. Heuman, Jasmohan S. Bajaj	33
4	Gut microbiota drive the development of neuroinflammatory response in cirrhosis in mice 2016 ·Hepatology ·Dae Joong Kang, Naga S. Betrapally, Siddhartha Ghosh, R. Balfour Sartor, Phillip B. Hylemon, Patrick M. Gillevet, Arun J. Sanyal, Douglas M. Heuman, Daniel Carl, Huiping Zhou, Runping Liu, Xiang Wang, Jing Yang, Chunhua Jiao, Jeremy Herzog, H Lippman, Masoumeh Sikaroodi, Robert R. Brown, Jasmohan S. Bajaj	87
5	Gut Microbiota Alterations can predict Hospitalizations in Cirrhosis Independent of Diabetes Mellitus 2015 ·Scientific Reports ·Jasmohan S. Bajaj, Naga S. Betrapally, Phillip B. Hylemon, Leroy R. Thacker, Kalyani Daita, Dae Joong Kang, Melanie B. White, Ariel Unser, Andrew Fagan, Edith Gavis, Masoumeh Sikaroodi, (unknown), Douglas M. Heuman, Patrick M. Gillevet	67
6	Salivary microbiota reflects changes in gut microbiota in cirrhosis with hepatic encephalopathy 2015 ·Hepatology ·Jasmohan S. Bajaj, Naga S. Betrapally, Phillip B. Hylemon, Douglas M. Heuman, Kalyani Daita, Melanie B. White, Ariel Unser, Leroy R. Thacker, Arun J. Sanyal, Dae Joong Kang, Masoumeh Sikaroodi, Patrick M. Gillevet	244
7	Colonic inflammation and secondary bile acids in alcoholic cirrhosis 2014 ·American Journal of Physiology-Gastrointestinal and Liver Physiology ·Genta Kakiyama, Phillip B. Hylemon, Huiping Zhou, William M. Pandak, Douglas M. Heuman, Dae Joong Kang, Hajime Takei, Hiroshi Nittono, Jason M. Ridlon, Michael Fuchs, Emily C. Gurley, Yun Wang, Runping Liu, Arun J. Sanyal, Patrick M. Gillevet, Jasmohan S. Bajaj	145

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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