Ming‐Che Shih

5.7k citations
81 papers · 4.1k indexed · h-index 38

Ming‐Che Shih

81 papers receiving 4.0k citations

Peers

Ming‐Che Shih
Comparison fields: 5 of 104
  • Plant Science 2.7k
  • Molecular Biology 2.6k
  • Biotechnology 274
  • Biochemistry 154
  • Ecology, Evolution, Behavior and Systematics 390
Replace Iain W. Wilson with:
Iain W. Wilson Australia
Andy Pereira United States
Paramjit Khurana India
Mansour Karimi Belgium
Dominique Roby France
Manchikatla Venkat Rajam India
Zeng‐Fu Xu China
Brian E. Ellis Canada
Morten Petersen Denmark
Chandrashekhar P. Joshi United States
Ming‐Che Shih relative to Iain W. Wilson Australia Iain W. Wilson's profile →
Citations per field
00.5×1.5×2.4×
Iain W. Wilson · 1×
Citations per year

Countries citing papers authored by Ming‐Che Shih

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Che Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Che Shih. 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‐Che Shih. The network helps show where Ming‐Che Shih may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ming‐Che Shih, 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‐Che Shih Line = papers co-authored together Ming‐Che Shih links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 202316
3 20236
4 202313
5 20226
6 202252
7 202227
8 202015
9 20204
10 201975
11 201911
12 201852
13 201653
14 201693
15 201460
16 201444
17 2013191
18 200574
19 200148
20 19945

About Ming‐Che Shih

Ming‐Che Shih is a scholar working on Plant Science, Molecular Biology, Biochemistry, Biotechnology and Ecology, Evolution, Behavior and Systematics, having authored 81 papers that have together received 4.1k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (22 papers), Plant responses to water stress (20 papers), Photosynthetic Processes and Mechanisms (17 papers), Plant Stress Responses and Tolerance (15 papers), Plant Gene Expression Analysis (11 papers), Genomics and Phylogenetic Studies (9 papers), Biofuel production and bioconversion (9 papers) and Light effects on plants (8 papers). The work is most often cited by research in Plant Science (2.7k citations), Molecular Biology (2.6k citations), Biotechnology (274 citations), Biochemistry (154 citations) and Ecology, Evolution, Behavior and Systematics (390 citations). Ming‐Che Shih has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Howard M. Goodman, Fu‐Chiun Hsu, Hsiao-Ping Peng, Shu‐Jen Chou, Hsing‐Yi Cho, Wen‐Hsiung Li, Shin‐Han Shiu, Choun‐Sea Lin, Wan‐Chieh Chen and Gary N. Gussin. Their work appears in journals such as PLANT PHYSIOLOGY, Plant Molecular Biology, Scientific Reports, Plant Biotechnology Journal and Proceedings of the National Academy of Sciences.

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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