Ming-Ming Tsai

2.1k citations
46 papers · 1.7k · h-index 27

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Ming-Ming Tsai

46 papers receiving 1.7k citations

Peers

Ming-Ming Tsai
Comparison fields: 5 of 84
  • Cancer Research 473
  • Hepatology 129
  • Oncology 239
  • Drug Discovery 3
  • Endocrinology, Diabetes and Metabolism 159
Replace Hsiang‐Cheng Chi with:
Hsiang‐Cheng Chi Taiwan
Chung‐Ying Tsai Taiwan
Ya‐Hui Huang Taiwan
Xiang Zhu China
Yohko Hikiba Japan
Yuanyuan Ruan China
Monika Lewińska Denmark
Daniel R. Schmidt United States
Jianjun Lei China
Daria Capece Italy
Ming-Ming Tsai relative to Hsiang‐Cheng Chi Taiwan Hsiang‐Cheng Chi's profile →
Citations per field
00.5×1.5×
Hsiang‐Cheng Chi · 1×
Citations per year

Countries citing papers authored by Ming-Ming Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Ming Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Ming Tsai. 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 Ming-Ming Tsai. The network helps show where Ming-Ming Tsai may publish in the future.

Co-authors

The 25 scholars most cited alongside Ming-Ming Tsai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming-Ming Tsai Line = papers co-authored together Ming-Ming Tsai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011113
2 2016107
3 201497
4 201979
5 201775
6 201471
7 201161
8 201661
9 202258
10 201657
11 201651
12 200949
13 201849
14 201248
15 201548
16
Thyroid hormone dependent regulation of target genes and their physiological significance.
200847
17 201346
18 201645
19 201042
20 201941

About Ming-Ming Tsai

Ming-Ming Tsai is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism, Hepatology, Pharmacology and Pulmonary and Respiratory Medicine, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (8 papers), Protease and Inhibitor Mechanisms (7 papers), Thyroid Disorders and Treatments (7 papers), MicroRNA in disease regulation (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Inflammatory mediators and NSAID effects (3 papers), Barrier Structure and Function Studies (3 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Cancer Research (473 citations), Hepatology (129 citations), Oncology (239 citations), Drug Discovery (3 citations) and Endocrinology, Diabetes and Metabolism (159 citations). Ming-Ming Tsai has collaborated with scholars based in Taiwan, India and United States. Frequent co-authors include Kwang‐Huei Lin, Hsiang‐Cheng Chi, Chung‐Ying Tsai, Chia‐Siu Wang, Ya‐Hui Huang, Chau‐Ting Yeh, Hsi‐Lung Hsieh, Yang-Hsiang Lin, Yi‐Hsin Tseng and Hsiang‐Wei Huang. Their work appears in journals such as International Journal of Molecular Sciences, Biomedicines, Journal of Hepatology, Scientific Reports and Cancer Science.

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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