Hein M. Tun

6.6k total citations · 2 hit papers
117 papers, 4.4k citations indexed

About

Hein M. Tun is a scholar working on Molecular Biology, Infectious Diseases and Physiology. According to data from OpenAlex, Hein M. Tun has authored 117 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 33 papers in Infectious Diseases and 18 papers in Physiology. Recurrent topics in Hein M. Tun's work include Gut microbiota and health (56 papers), Diet and metabolism studies (17 papers) and Clostridium difficile and Clostridium perfringens research (17 papers). Hein M. Tun is often cited by papers focused on Gut microbiota and health (56 papers), Diet and metabolism studies (17 papers) and Clostridium difficile and Clostridium perfringens research (17 papers). Hein M. Tun collaborates with scholars based in Hong Kong, China and Canada. Hein M. Tun's co-authors include Ehsan Khafipour, Anita L. Kozyrskyj, Piush J. Mandhane, Catherine J. Field, Stuart E. Turvey, Padmaja Subbarao, James A. Scott, David S. Guttman, Malcolm R. Sears and Allan B. Becker and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Hein M. Tun

114 papers receiving 4.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Meta-analysis of effects of exclusive breastfeeding on infant gut microbiota across populations

2018 318 citations Hein M. Tun, Anita L. Kozyrskyj et al. Nature Communications profile →
Roles of Birth Mode and Infant Gut Microbiota in Intergenerational Transmission of Overweight and Obesity From Mother to Offspring

2018 209 citations Hein M. Tun, Sarah L. Bridgman et al. profile →

Peers

Countries citing papers authored by Hein M. Tun

Since Specialization

Citations

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

Fields of papers citing papers by Hein M. Tun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hein M. Tun. 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 Hein M. Tun. The network helps show where Hein M. Tun may publish in the future.

Co-authorship network of co-authors of Hein M. Tun

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Risk of gestational diabetes mellitus in relation to serum metal mixtures and mediating effects of metabolites in Chinese population: A dual approach using bibliometric and epidemiological analyses 2025 ·Ecotoxicology and Environmental Safety ·(unknown), Jingjing Han, (unknown), Yadan Xu, Yifan Xu, Ming‐Zhi Zhang, Hein M. Tun, Bo Hang, Yankai Xia	0
2	Gut microbiota metabolites, secretory immunoglobulin A and Bayley-III cognitive scores in children from the CHILD Cohort Study 2025 ·Brain Behavior & Immunity - Health ·(unknown), (unknown), Sarah L. Bridgman, Hein M. Tun, Catherine J. Field, Matthew Hicks, Jacqueline Pei, Anne Hicks, Theo J. Moraes, Elinor Simons, Stuart E. Turvey, Padmaja Subbarao, James A. Scott, Piush J. Mandhane, Anita L. Kozyrskyj	2
3	Fiber Intervention Study in Prader-Willi Syndrome: Insights into Metabolic and Microbiota Shifts 2025 ·The Journal of Clinical Endocrinology & Metabolism ·Qiming Tan, Peng Ye, Edward C. Deehan, (unknown), (unknown), (unknown), Eytan Wine, Karen Madsen, Catherine J. Field, Mohammadreza Pakseresht, Olga Ilkayeva, Christopher B. Newgard, Jens Walter, Hein M. Tun, Andrea M. Haqq	1
4	Virological response to nucleos(t)ide analogues treatment in chronic hepatitis B patients is associated with Bacteroides-dominant gut microbiome 2024 ·EBioMedicine ·Saisai Zhang, (unknown), Hein M. Tun, Fung‐Yu Huang, Danny Ka‐Ho Wong, Lung‐Yi Mak, Man‐Fung Yuen, Wai‐Kay Seto	4
5	Fecal microbial marker panel for aiding diagnosis of autism spectrum disorders 2024 ·Gut Microbes ·Yating Wan, Oscar W. H. Wong, Hein M. Tun, Qi Su, Zhilu Xu, Whitney Tang, Suk Ling, Sandra Sau Man Chan, Francis K.L. Chan, Siew C. Ng	6
6	Effects of microbiome-based interventions on neurodegenerative diseases: a systematic review and meta-analysis 2024 ·Scientific Reports ·(unknown), (unknown), (unknown), Suisha Liang, (unknown), Kris Yuet Wan Lok, Hein M. Tun, Jojo Yan Yan Kwok	15
7	Gut virome in inflammatory bowel disease and beyond 2023 ·Gut ·Hein M. Tun, Ye Peng, Luca Massimino, (unknown), Tommaso Lorenzo Parigi, (unknown), Shaila Rahman, Silvio Danese, Federica Ungaro	39
8	Probiotics for adults with major depressive disorder compared with antidepressants: a systematic review and network meta-analysis 2023 ·Nutrition Reviews ·Shilin Zhao, Suisha Liang, Jun Tao, Peng Ye, Siqi Chen, (unknown), (unknown), (unknown), (unknown), Andrea M. Haqq, Wing Chung Chang, Michael Y. Ni, Francis K.L. Chan, Siew C. Ng, Hein M. Tun	14
9	Combing fecal microbial community data to identify consistent obesity-specific microbial signatures and shared metabolic pathways 2023 ·iScience ·(unknown), Zhilu Xu, Yun Kit Yeoh, Hein M. Tun, Wenli Huang, Wei Jiang, Francis K.L. Chan, Siew C. Ng	23
10	Infant Vitamin D Supplements, Fecal Microbiota and Their Metabolites at 3 Months of Age in the CHILD Study Cohort 2023 ·Biomolecules ·Xin Zhao, Sarah L. Bridgman, (unknown), Hein M. Tun, Piush J. Mandhane, Theo J. Moraes, Elinor Simons, Stuart E. Turvey, Padmaja Subbarao, James A. Scott, Anita L. Kozyrskyj	2
11	Use of Sewage Surveillance for COVID-19: A Large-Scale Evidence-Based Program in Hong Kong 2022 ·Environmental Health Perspectives ·Yu Deng, Xiawan Zheng, Xiaoqing Xu, Ho-Kwong Chui, (unknown), Shuxian Li, Hein M. Tun, Leo L. M. Poon, Jiahui Ding, Malik Peiris, GM Leung, Tong Zhang	23
12	Gut microbiota insights into human adaption to high‐plateau diet 2022 ·SHILAP Revista de lepidopterología ·Yina Huang, Jinxin Liu, Hein M. Tun, Catherine Stanton, Tingtao Chen, Hani El‐Nezami, Hua Wei, Mingfu Wang, Qinglong Wu	8
13	Gut microbiota composition is associated with SARS-CoV-2 vaccine immunogenicity and adverse events 2022 ·Gut ·Siew C. Ng, Ye Peng, Lin Zhang, (unknown), Shilin Zhao, Amy Li, Jessica Y. L. Ching, Yingzhi Liu, Shuai Yan, (unknown), Jie Zhu, Chunke Chen, Adrian Chi Heng Fung, Kenneth KY Wong, David S.C. Hui, Francis K.L. Chan, Hein M. Tun	111
14	Faecal microbiome-based machine learning for multi-class disease diagnosis 2022 ·Nature Communications ·Qi Su, Qin Liu, Raphaela Iris Lau, Jingwan Zhang, Zhilu Xu, Yun Kit Yeoh, Thomas Leung, Whitney Tang, Lin Zhang, Qiaoyi Liang, (unknown), Jiaying Zheng, (unknown), (unknown), Chun Pan Cheung, Jessica Y. L. Ching, Hein M. Tun, Jun Yu, Francis K.L. Chan, Siew C. Ng	75
15	Multi-kingdom gut microbiota analyses define COVID-19 severity and post-acute COVID-19 syndrome 2022 ·Nature Communications ·Qin Liu, Qi Su, Fen Zhang, Hein M. Tun, Joyce Wing Yan Mak, Grace Lui, Susanna S. Ng, Jessica Y. L. Ching, Amy Li, Wenqi Lu, Chenyu Liu, Chun Pan Cheung, David S.C. Hui, Paul K.S. Chan, Francis K.L. Chan, Siew C. Ng	45
16	Alleviation of Hepatic Steatosis: Dithizone-Related Gut Microbiome Restoration During Paneth Cell Dysfunction 2022 ·Frontiers in Microbiology ·Saisai Zhang, Hein M. Tun, Dengwei Zhang, (unknown), Fung‐Yu Huang, Hin Kwok, Danny Ka‐Ho Wong, Lung‐Yi Mak, Man‐Fung Yuen, Wai‐Kay Seto	6
17	Impact of xylanases on gut microbiota of growing pigs fed corn- or wheat-based diets 2018 ·Animal nutrition ·Zhengxiao Zhang, Hein M. Tun, Ru Li, (unknown), (unknown), C. M. Nyachoti, Elijah G. Kiarie, Ehsan Khafipour	42
18	Selective Induction of Homeostatic Th17 Cells in the Murine Intestine by Cholera Toxin Interacting with the Microbiota 2017 ·The Journal of Immunology ·Qing Zhao, Stacey N. Harbour, Raivo Kolde, Isabel Latorre, Hein M. Tun, Trenton R. Schoeb, Henrietta Turner, James J. Moon, Ehsan Khafipour, Ramnik J. Xavier, Casey T. Weaver, Charles O. Elson	15
19	Development of One-Step Reverse Transcription Loop-Mediated Isothermal Amplification (LAMP) as a Screening tool for Influenza A Viruses 2014 ·The Thai Journal of Veterinary Medicine ·Hein M. Tun, (unknown), (unknown), Nutthawan Nonthabenjawan, (unknown), Apiradee Theamboonlers, Yong Poovorawan, Alongkorn Amonsin	2
20	Biochemical Analysis on Blood and Crop Contents of Household Chickens Along With Their Production and Health Status in Bangladesh 2012 ·Pakistan Veterinary Journal ·(unknown), Mohammad Alauddin, Mohammad Mahmudul Hassan, (unknown), Mahabub Alam, (unknown), (unknown), (unknown), (unknown), Hein M. Tun, (unknown), Nitish Debnath, (unknown)	6

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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