Ming‐Jing Hwang

4.3k total citations · 1 hit paper
90 papers, 3.2k citations indexed

About

Ming‐Jing Hwang is a scholar working on Molecular Biology, Materials Chemistry and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ming‐Jing Hwang has authored 90 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 11 papers in Materials Chemistry and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ming‐Jing Hwang's work include Protein Structure and Dynamics (21 papers), RNA and protein synthesis mechanisms (13 papers) and Enzyme Structure and Function (10 papers). Ming‐Jing Hwang is often cited by papers focused on Protein Structure and Dynamics (21 papers), RNA and protein synthesis mechanisms (13 papers) and Enzyme Structure and Function (10 papers). Ming‐Jing Hwang collaborates with scholars based in Taiwan, United States and Germany. Ming‐Jing Hwang's co-authors include A. T. Hagler, Thomas P. Stockfisch, Carl S. Ewig, Marvin Waldman, Jon R. Maple, Uri Dinur, Edward S.C. Shih, Zhong‐Ru Xie, Ching‐Shu Suen and Wei‐Chung Liu and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ming‐Jing Hwang

89 papers receiving 3.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Derivation of class II force fields. I. Methodology and quantum force field for the alkyl functional group and alkane molecules

1994 678 citations Ming‐Jing Hwang, Marvin Waldman et al. profile →

Peers

Countries citing papers authored by Ming‐Jing Hwang

Since Specialization

Citations

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

Fields of papers citing papers by Ming‐Jing Hwang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Jing Hwang

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Identification of a damage‐associated molecular pattern (DAMP) receptor and its cognate peptide ligand in sweet potato (Ipomoea batatas) 2023 ·Plant Cell & Environment ·(unknown), (unknown), Judith Fliegmann, Ming‐Jing Hwang, Ching‐Shu Suen, (unknown), Georg Felix, Axel Mithöfer, Kai‐Wun Yeh	6
2	JAK2-CHK2 signaling safeguards the integrity of the mitotic spindle assembly checkpoint and genome stability 2022 ·Cell Death and Disease ·(unknown), Shih‐Wei Wang, Ching‐Shu Suen, Ming‐Jing Hwang, (unknown), Sheau-Yann Shieh	4
3	Novel Naturally Occurring Mutations of Enterovirus 71 Associated With Disease Severity 2021 ·Frontiers in Microbiology ·(unknown), Chun‐Che Liao, (unknown), Yi‐Chun Chou, Ya‐Yen Yu, Chi‐Yung Lin, (unknown), Ching‐Shu Suen, Ming‐Jing Hwang, Chiaho Shih	7
4	PRAP1 is a novel lipid-binding protein that promotes lipid absorption by facilitating MTTP-mediated lipid transport 2020 ·Journal of Biological Chemistry ·(unknown), (unknown), (unknown), (unknown), (unknown), Ching‐Shu Suen, J. J. Yen, Hung‐Ta Chen, Ming‐Jing Hwang, M. Mahmood Hussain, Hsin‐Chou Yang, Hsin‐Fang Yang‐Yen	28
5	Lumenal Galectin-9-Lamp2 interaction regulates lysosome and autophagy to prevent pathogenesis in the intestine and pancreas 2020 ·Nature Communications ·(unknown), Hsueh-Han Lu, (unknown), Ching‐Shu Suen, Ming‐Jing Hwang, (unknown), Chia‐Ning Shen, Yao‐Ming Chang, Fu‐An Li, Fu‐Tong Liu, Jr‐Wen Shui	56
6	Usefulness of Machine Learning-Based Detection and Classification of Cardiac Arrhythmias With 12-Lead Electrocardiograms 2020 ·Canadian Journal of Cardiology ·Kuan‐Cheng Chang, (unknown), Mei‐Yao Wu, Yu-Chen Wang, Jan‐Yow Chen, Fuu‐Jen Tsai, Edward S.C. Shih, Ming‐Jing Hwang, Tzung-Chi Huang	50
7	Cbl-mediated K63-linked ubiquitination of JAK2 enhances JAK2 phosphorylation and signal transduction 2017 ·Scientific Reports ·Chunshan Liu, Hsin‐Fang Yang‐Yen, Ching‐Shu Suen, Ming‐Jing Hwang, J. J. Yen	11
8	A proteome view of structural, functional, and taxonomic characteristics of major protein domain clusters 2017 ·Scientific Reports ·(unknown), Austin W.T. Chiang, Ming‐Jing Hwang	1
9	Identification of Entry Factors Involved in Hepatitis C Virus Infection Based on Host-Mimicking Short Linear Motifs 2017 ·PLoS Computational Biology ·Austin W.T. Chiang, Yule Wu, Ting Wang, Ming‐Jing Hwang	8
10	Understanding system dynamics of an adaptive enzyme network from globally profiled kinetic parameters 2014 ·BMC Systems Biology ·Austin W.T. Chiang, Wei‐Chung Liu, Pep Charusanti, Ming‐Jing Hwang	18
11	Partitioning the Human Transcriptome Using HKera, a Novel Classifier of Housekeeping and Tissue-Specific Genes 2013 ·PLoS ONE ·Austin W.T. Chiang, (unknown), Ming‐Jing Hwang	5
12	Topological and organizational properties of the products of house-keeping and tissue-specific genes in protein-protein interaction networks 2009 ·BMC Systems Biology ·(unknown), Wei‐Chung Liu, Ming‐Jing Hwang	32
13	A network perspective on the topological importance of enzymes and their phylogenetic conservation 2007 ·BMC Bioinformatics ·Wei‐Chung Liu, (unknown), Andrew Davis, Ferenc Jordán, Hsih‐Te Yang, Ming‐Jing Hwang	33
14	The UniMarker (UM) method for synteny mapping of large genomes 2004 ·Bioinformatics ·Ben‐Yang Liao, (unknown), Jan-Ming Ho, Ming‐Jing Hwang	8
15	Alternative alignments from comparison of protein structures 2004 ·Proteins Structure Function and Bioinformatics ·Edward S.C. Shih, Ming‐Jing Hwang	34
16	Single Nucleotide Polymorphism Mapping Using Genome-Wide Unique Sequences 2002 ·Genome Research ·(unknown), (unknown), Edward S.C. Shih, Ming‐Jing Hwang	6
17	Site‐directed mutagenesis evidence for a negatively charged trypsin inhibitory loop in sweet potato sporamin 2001 ·FEBS Letters ·Pei‐Li Yao, Ming‐Jing Hwang, Yih-Ming Chen, Kai‐Wun Yeh	27
18	Derivation of class II force fields. VI. Carbohydrate compounds and anomeric effects 1998 ·Biopolymers ·Ming‐Jing Hwang, (unknown), Marvin Waldman, Carl S. Ewig, A. T. Hagler	87
19	A model for Fis N‐terminus and Fis‐invertase recognition 1997 ·FEBS Letters ·Wen‐Shyong Tzou, Ming‐Jing Hwang	5
20	Shaker pore structure as predicted by annealed atomic simulation using symmetry and novel geometric restraints 1997 ·Biophysical Journal ·(unknown), (unknown), Ming‐Jing Hwang	8

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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