Ming Jer Tsai

1.9k total citations
19 papers, 873 citations indexed

About

Ming Jer Tsai is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Ming Jer Tsai has authored 19 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Surgery. Recurrent topics in Ming Jer Tsai's work include RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (3 papers) and Genomics and Chromatin Dynamics (3 papers). Ming Jer Tsai is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (3 papers) and Genomics and Chromatin Dynamics (3 papers). Ming Jer Tsai collaborates with scholars based in United States, Taiwan and Japan. Ming Jer Tsai's co-authors include Bert W. O’Malley, Jeffrey L. Nordstrom, Sophia Y. Tsai, Jeng‐Shyang Pan, Pei‐Wei Tsai, Bin Liao, Melvyn Baez, William E. Stumph, Wanda G. Beattie and Dennis R. Roop and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Ming Jer Tsai

19 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming Jer Tsai United States	15	563	215	81	71	64	19	873
Mahyar Sabripour United States	10	988 1.8×	164 0.8×	53 0.7×	43 0.6×	151 2.4×	12	1.3k
Jing Ya China	16	704 1.3×	198 0.9×	40 0.5×	97 1.4×	87 1.4×	52	1.4k
Wei‐Wen Cai United States	13	623 1.1×	252 1.2×	140 1.7×	48 0.7×	137 2.1×	25	925
Kyung-Ah Kim South Korea	15	730 1.3×	169 0.8×	118 1.5×	41 0.6×	35 0.5×	48	1.1k
Matthew J. Callow United States	12	1.4k 2.4×	383 1.8×	42 0.5×	80 1.1×	175 2.7×	21	1.9k
Asif Javed United States	13	215 0.4×	207 1.0×	52 0.6×	78 1.1×	55 0.9×	43	733
Vincent Gardeux Switzerland	17	768 1.4×	164 0.8×	78 1.0×	47 0.7×	130 2.0×	43	1.2k
Greg Schuler United States	4	1.3k 2.2×	194 0.9×	180 2.2×	111 1.6×	159 2.5×	4	1.7k
Lijuan Su China	12	435 0.8×	89 0.4×	110 1.4×	31 0.4×	68 1.1×	19	806
Ming Shao China	19	602 1.1×	100 0.5×	83 1.0×	114 1.6×	143 2.2×	67	1.2k

Countries citing papers authored by Ming Jer Tsai

Since Specialization

Citations

This map shows the geographic impact of Ming Jer 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 Jer 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 Jer Tsai more than expected).

Fields of papers citing papers by Ming Jer Tsai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Jer Tsai

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

All Works

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19 of 19 papers shown

Tsao, Tsung Ming, Ming Jer Tsai, Chang‐Fu Wu, et al.. (2014). The Health Effects of a Forest Environment on Subclinical Cardiovascular Disease and Heath-Related Quality of Life. PLoS ONE. 9(7). e103231–e103231. 32 indexed citations

Qin, Jun, San‐Pin Wu, Chad J. Creighton, et al.. (2012). COUP-TFII inhibits TGF-β-induced growth barrier to promote prostate tumorigenesis. Nature. 493(7431). 236–240. 146 indexed citations

Tsai, Pei‐Wei, et al.. (2011). Bat Algorithm Inspired Algorithm for Solving Numerical Optimization Problems. Applied Mechanics and Materials. 148-149. 134–137. 113 indexed citations

Goode, David L., Gregory M. Cooper, Jeremy Schmutz, et al.. (2010). Evolutionary constraint facilitates interpretation of genetic variation in resequenced human genomes. Genome Research. 20(3). 301–310. 55 indexed citations

Lydon, John P., Ramakrishna Kommagani, Jae‐Wook Jeong, et al.. (2010). Steroid Receptor Coregulator-2 Is Required for Uterine Stromal Decidualization in Both Mouse and Human.. Biology of Reproduction. 83(Suppl_1). 16–16. 1 indexed citations

Satoh, Shinya, Ke Tang, Atsumi Iida, et al.. (2009). The Spatial Patterning of Mouse Cone Opsin Expression Is Regulated by Bone Morphogenetic Protein Signaling through Downstream Effector COUP-TF Nuclear Receptors. Journal of Neuroscience. 29(40). 12401–12411. 54 indexed citations

Neptune, Enid, Megan Podowski, Carla L. Calvi, et al.. (2008). Targeted Disruption of NeuroD, a Proneural Basic Helix-Loop-Helix Factor, Impairs Distal Lung Formation and Neuroendocrine Morphology in the Neonatal Lung. Journal of Biological Chemistry. 283(30). 21160–21169. 41 indexed citations

Tsai, Ming Jer, et al.. (2000). Lichen sclerosus et atrophicus, bullous morphea, and systemic lupus erythematosus: a case report.. PubMed. 33(1). 53–6. 15 indexed citations

Tsai, Ming Jer, et al.. (1998). Immunological studies of children with anaphylactoid purpura.. PubMed. 39(4). 247–52. 7 indexed citations

10.

Pham, Tony A., Donald P. McDonnell, Ming Jer Tsai, & Bert W. O’Malley. (1992). Modulation of progesterone receptor binding to progesterone response elements by positioned nucleosomes. Biochemistry. 31(5). 1570–1578. 14 indexed citations

11.

Scott, Maxwell J., Ming Jer Tsai, & Bert W. O’Malley. (1987). Deoxyribonuclease I sensitivity of the ovomucoid-ovoinhibitor gene complex in oviduct nuclei and relative location of CR1 repetitive sequences. Biochemistry. 26(21). 6831–6840. 11 indexed citations

12.

Tsai, Ming Jer, et al.. (1984). DNase I sensitive domain of the gene coding for the glycolytic enzyme glyceraldehyde 3-phosphate dehydrogenase. Biochemistry. 23(10). 2309–2314. 51 indexed citations

13.

Stevens, Bryn, et al.. (1984). Isolation of a protein fraction that binds preferentially to chicken middle repetitive DNA. Biochemistry. 23(26). 6491–6498. 18 indexed citations

14.

Stumph, William E., Melvyn Baez, Wanda G. Beattie, Ming Jer Tsai, & Bert W. O’Malley. (1983). Characterization of deoxyribonucleic acid sequences at the 5' and 3' borders of the 100-kilobase pair ovalbumin gene domain. Biochemistry. 22(2). 306–315. 59 indexed citations

15.

Anderson, John N., Jeff N. Vanderbilt, George M. Lawson, Ming Jer Tsai, & Bert W. O’Malley. (1983). Chromatin structure of the ovalbumin gene family in the chicken oviduct. Biochemistry. 22(1). 21–30. 27 indexed citations

16.

Tsai, Ming Jer, et al.. (1982). Ribonucleic acid precursors are associated with the chick oviduct nuclear matrix. Biochemistry. 21(20). 4945–4953. 140 indexed citations

17.

Tsai, Sophia Y., Dennis R. Roop, Ming Jer Tsai, et al.. (1978). Regulation of gene expression in the chick oviduct. 18. Effect of estrogen on gene expression in the chick oviduct. Regulation of the ovomucoid gene. Biochemistry. 17(26). 5773–5780. 64 indexed citations

18.

Tsai, Ming Jer, Russell L. Pimmel, Philip A. Bromberg, & Robert B. McGhee. (1977). An evaluation of recovery of ventilation-perfusion ratios from inert gas data. Computers and Biomedical Research. 10(2). 101–112. 4 indexed citations

19.

Michaelis, Georg, et al.. (1972). In vitro transcription of mitochondrial deoxyribonucleic acid from yeast. Biochemistry. 11(11). 2026–2036. 21 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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