Meng-Ti Hsieh

542 citations
9 papers · 453 indexed · h-index 9
Topics
Cancer-related molecular mechanisms research (2 papers)Regulation of Appetite and Obesity (2 papers)Cytokine Signaling Pathways and Interactions (2 papers)
Partner nations
TaiwanUnited StatesItaly

In The Last Decade

Meng-Ti Hsieh

9 papers receiving 447 citations

Peers

Meng-Ti Hsieh
Comparison fields: 5 of 79
  • Public Health, Environmental and Occupational Health 184
  • Infectious Diseases 147
  • Molecular Biology 116
  • Oncology 66
  • Epidemiology 57
Replace Diana Moreira with:
Diana Moreira Portugal
Eric Blouin France
Srikanth Elesela United States
Diego R. Coelho Brazil
E Xiaofei United States
Yuting Fan China
Constantin E. Orfanos Germany
R. Lakshman Chelvarajan United States
Leandro Silva da Costa Brazil
Xizhan Xu China
Meng-Ti Hsieh relative to Diana Moreira Portugal Diana Moreira's profile →
Citations per field
00.5×3.5×
Diana Moreira · 1×
Citations per year

Countries citing papers authored by Meng-Ti Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Meng-Ti Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng-Ti Hsieh. 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 Meng-Ti Hsieh. The network helps show where Meng-Ti Hsieh may publish in the future.

Co-authorship network of co-authors of Meng-Ti Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Meng-Ti Hsieh. A scholar is included among the top collaborators of Meng-Ti Hsieh 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 Meng-Ti Hsieh. Meng-Ti Hsieh 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
#WorkIndexed citations
1 48
2 25
3 12
4 32
5 42
6 9
7 59
8 35
9 191

About Meng-Ti Hsieh

Meng-Ti Hsieh is a scholar working on Endocrine and Autonomic Systems, Geriatrics and Gerontology and Cancer Research, having authored 9 papers that have together received 453 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (2 papers), Regulation of Appetite and Obesity (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Geriatrics and Gerontology (46 citations), Infectious Diseases (147 citations) and Public Health, Environmental and Occupational Health (184 citations). Meng-Ti Hsieh has collaborated with scholars based in Taiwan, United States and Italy. Frequent co-authors include Chuan‐Liang Kao, Jan‐Jong Hung, Ming-Jer Young, Chwan‐Chuen King, Wen Chang, Hung‐Yun Lin, Paul J. Davis, Yu‐Tang Chin, Yu‐Chen S. H. Yang and Leroy F. Liu. Their work appears in journals such as Journal of Virology, American Journal of Physiology-Cell Physiology and Oncotarget.

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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