Ming‐Der Shih

441 total citations
10 papers, 226 citations indexed

About

Ming‐Der Shih is a scholar working on Plant Science, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Ming‐Der Shih has authored 10 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 2 papers in Molecular Biology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Ming‐Der Shih's work include Seed Germination and Physiology (7 papers), Soybean genetics and cultivation (6 papers) and Legume Nitrogen Fixing Symbiosis (4 papers). Ming‐Der Shih is often cited by papers focused on Seed Germination and Physiology (7 papers), Soybean genetics and cultivation (6 papers) and Legume Nitrogen Fixing Symbiosis (4 papers). Ming‐Der Shih collaborates with scholars based in Taiwan and Netherlands. Ming‐Der Shih's co-authors include Yue‐Ie Hsing, Folkert A. Hoekstra, Teh‐Yuan Chow, Fu‐Jin Wei, Shu‐Yi Yang, Y. I. Hsing, Tsan‐Piao Lin and Mei‐Jane Fang and has published in prestigious journals such as Plant Molecular Biology, Plant and Cell Physiology and Plant Science.

In The Last Decade

Ming‐Der Shih

10 papers receiving 215 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming‐Der Shih Taiwan	5	175	116	22	14	13	10	226
Itzell Eurídice Hernández-Sánchez Mexico	7	201 1.1×	175 1.5×	32 1.5×	11 0.8×	12 0.9×	13	311
Vincent Dielen Belgium	9	299 1.7×	219 1.9×	20 0.9×	9 0.6×	4 0.3×	9	330
Miriam Hanitzsch Germany	7	231 1.3×	223 1.9×	7 0.3×	8 0.6×	7 0.5×	7	359
Jana Piterková Czechia	11	323 1.8×	140 1.2×	9 0.4×	10 0.7×	5 0.4×	15	374
Flavia Bossi United States	6	369 2.1×	221 1.9×	11 0.5×	7 0.5×	6 0.5×	8	449
Dandan Lu China	8	129 0.7×	182 1.6×	21 1.0×	5 0.4×	9 0.7×	23	251
Azeez Beebo Sweden	6	283 1.6×	172 1.5×	15 0.7×	10 0.7×	2 0.2×	7	338
Omar Sandoval-Ibáñez Germany	10	221 1.3×	237 2.0×	7 0.3×	11 0.8×	7 0.5×	14	347
Ee Liu China	8	304 1.7×	173 1.5×	8 0.4×	5 0.4×	8 0.6×	10	353
Krzysztof Bobik United States	7	208 1.2×	252 2.2×	11 0.5×	5 0.4×	5 0.4×	8	338

Countries citing papers authored by Ming‐Der Shih

Since Specialization

Citations

This map shows the geographic impact of Ming‐Der 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‐Der 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‐Der Shih more than expected).

Fields of papers citing papers by Ming‐Der Shih

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Der Shih

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

All Works

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10 of 10 papers shown

1.

Shih, Ming‐Der, et al.. (2019). Dye- and fluorescence-based assay to characterize symplastic and apoplastic trafficking in soybean (Glycime max L.) endosperm. Botanical studies. 60(1). 24–24. 4 indexed citations

2.

Shih, Ming‐Der, et al.. (2012). Functional studies of soybean (Glycine max L.) seed LEA proteins GmPM6, GmPM11, and GmPM30 by CD and FTIR spectroscopy. Plant Science. 196. 152–159. 38 indexed citations

3.

Yang, Shu‐Yi, Ming‐Der Shih, Tsan‐Piao Lin, & Yue‐Ie Hsing. (2011). Two soybean (Glycine max L.) GmPM proteins reduce liposome leakage during desiccation. Botanical studies. 52(4). 465–470. 2 indexed citations

4.

Shih, Ming‐Der, et al.. (2010). Tissue- and cellular localization of soybean (Glycine max L.) seed maturation protein transcripts.. Botanical studies. 51(2). 183–194. 4 indexed citations

5.

Shih, Ming‐Der, et al.. (2010). Characterization of Two Soybean (Glycine max L.) LEA IV Proteins by Circular Dichroism and Fourier Transform Infrared Spectrometry. Plant and Cell Physiology. 51(3). 395–407. 60 indexed citations

6.

Shih, Ming‐Der, et al.. (2010). OsLEA1a, a New Em-Like Protein of Cereal Plants. Plant and Cell Physiology. 51(12). 2132–2144. 18 indexed citations

7.

Shih, Ming‐Der & Folkert A. Hoekstra. (2008). Chapter 4 - Late Embryogenesis Abundant Proteins. 3 indexed citations

8.

Shih, Ming‐Der, et al.. (2007). Characterisation of two soybean (Glycine max L.) LEA 4 proteins — circular dichroism and Fourier transform infrared studies. South African Journal of Botany. 73(3). 497–498. 2 indexed citations

9.

Shih, Ming‐Der, et al.. (2004). Gene cloning and characterization of a soybean (Glycine max L.) LEA protein, GmPM16. Plant Molecular Biology. 56(5). 689–703. 66 indexed citations

10.

Hsing, Yue‐Ie, et al.. (1995). Unusual sequences of group 3 LEA mRNA inducible by maturation or drying in soybean seeds. Plant Molecular Biology. 29(4). 863–868. 29 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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