Suisha Liang

16.0k total citations
12 papers, 516 citations indexed

About

Suisha Liang is a scholar working on Molecular Biology, Physiology and Biological Psychiatry. According to data from OpenAlex, Suisha Liang has authored 12 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Biological Psychiatry. Recurrent topics in Suisha Liang's work include Gut microbiota and health (8 papers), Diet and metabolism studies (7 papers) and Tryptophan and brain disorders (5 papers). Suisha Liang is often cited by papers focused on Gut microbiota and health (8 papers), Diet and metabolism studies (7 papers) and Tryptophan and brain disorders (5 papers). Suisha Liang collaborates with scholars based in China, Hong Kong and Denmark. Suisha Liang's co-authors include Hein M. Tun, Tanja Sobko, Alireza Kashani, Jens J. Holst, Kirstine N. Bojsen‐Møller, Albert Pallejá, Chenchen Zhang, Carsten Dirksen, Torben Hansen and Sten Madsbad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Cellular and Molecular Life Sciences.

In The Last Decade

Suisha Liang

12 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suisha Liang China 10 280 221 129 66 39 12 516
Michael Sioda United States 9 333 1.2× 216 1.0× 64 0.5× 55 0.8× 42 1.1× 10 517
Paul Wisniewski United States 9 439 1.6× 310 1.4× 46 0.4× 151 2.3× 59 1.5× 18 738
Ellen Wilms Netherlands 12 344 1.2× 274 1.2× 140 1.1× 33 0.5× 40 1.0× 21 689
Nathaniel L. Ritz United States 11 333 1.2× 103 0.5× 34 0.3× 92 1.4× 80 2.1× 17 521
Jose Antonio Santos-Marcos Spain 6 403 1.4× 257 1.2× 35 0.3× 41 0.6× 47 1.2× 7 595
Jennifer Kaczmarek United States 10 279 1.0× 199 0.9× 50 0.4× 32 0.5× 17 0.4× 16 610
Silvia Pisanu Italy 9 454 1.6× 300 1.4× 27 0.2× 67 1.0× 43 1.1× 14 706
Anniina Keskitalo Finland 9 352 1.3× 230 1.0× 21 0.2× 72 1.1× 44 1.1× 18 518
Amy R. Mackos United States 16 376 1.3× 158 0.7× 22 0.2× 174 2.6× 56 1.4× 32 683

Countries citing papers authored by Suisha Liang

Since Specialization
Citations

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

Fields of papers citing papers by Suisha Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suisha Liang

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

All Works

12 of 12 papers shown
1.
Liang, Suisha, et al.. (2024). Effects of microbiome-based interventions on neurodegenerative diseases: a systematic review and meta-analysis. Scientific Reports. 14(1). 9558–9558. 15 indexed citations
2.
Zhao, Shilin, Jun Tao, Suisha Liang, & Hein M. Tun. (2024). Reply to: Toward Enhanced Methodological Rigor: Addressing Limitations in the Comparative Analysis of Probiotics and Antidepressants for Major Depressive Disorder Management. Nutrition Reviews. 83(5). 967–969. 1 indexed citations
3.
Zhao, Shilin, Suisha Liang, Jun Tao, et al.. (2023). Probiotics for adults with major depressive disorder compared with antidepressants: a systematic review and network meta-analysis. Nutrition Reviews. 83(1). 72–82. 14 indexed citations
4.
5.
Liang, Suisha, et al.. (2022). Multi-cohort analysis of depression-associated gut bacteria sheds insight on bacterial biomarkers across populations. Cellular and Molecular Life Sciences. 80(1). 31 indexed citations
6.
Zhang, Dengwei, Ye Peng, Akhilendra Bhushan Gupta, et al.. (2021). Metagenomic Survey Reveals More Diverse and Abundant Antibiotic Resistance Genes in Municipal Wastewater Than Hospital Wastewater. Frontiers in Microbiology. 12. 712843–712843. 34 indexed citations
7.
Peng, Ye, et al.. (2021). Role of gut microbiota in travel-related acquisition of extended spectrum β-lactamase-producing Enterobacteriaceae. Journal of Travel Medicine. 28(3). 11 indexed citations
8.
Jie, Zhuye, Suisha Liang, Qiuxia Ding, et al.. (2021). Dairy consumption and physical fitness tests associated with fecal microbiome in a Chinese cohort. SHILAP Revista de lepidopterología. 9. 100038–100038. 6 indexed citations
9.
10.
Peng, Ye, Qiming Tan, Edward C. Deehan, et al.. (2020). The Gut Microbiota Profile in Children with Prader–Willi Syndrome. Genes. 11(8). 904–904. 19 indexed citations
11.
Li, Xiaoping, Suisha Liang, Zhongkui Xia, et al.. (2018). Establishment of a Macaca fascicularis gut microbiome gene catalog and comparison with the human, pig, and mouse gut microbiomes. GigaScience. 7(9). 55 indexed citations
12.
Pallejá, Albert, Alireza Kashani, Kristine H. Allin, et al.. (2016). Roux-en-Y gastric bypass surgery of morbidly obese patients induces swift and persistent changes of the individual gut microbiota. Genome Medicine. 8(1). 67–67. 236 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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