Chin‐Rang Yang

1.3k total citations
46 papers, 935 citations indexed

About

Chin‐Rang Yang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Social Psychology. According to data from OpenAlex, Chin‐Rang Yang has authored 46 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 6 papers in Social Psychology. Recurrent topics in Chin‐Rang Yang's work include Ion Transport and Channel Regulation (17 papers), Electrolyte and hormonal disorders (9 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Chin‐Rang Yang is often cited by papers focused on Ion Transport and Channel Regulation (17 papers), Electrolyte and hormonal disorders (9 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Chin‐Rang Yang collaborates with scholars based in United States, India and Thailand. Chin‐Rang Yang's co-authors include Mark A. Knepper, David A. Boothman, Viswanathan Raghuram, Chung‐Lin Chou, G. Wesley Hatfield, Charles L. Limoli, Andreas Hartmann, William F. Morgan, Bruce E. Shapiro and Eric Mjolsness and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Chin‐Rang Yang

46 papers receiving 915 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chin‐Rang Yang United States 18 708 188 136 135 98 46 935
Boris J. Cheskis United States 17 909 1.3× 158 0.8× 339 2.5× 61 0.5× 135 1.4× 18 1.7k
Stewart Barker United Kingdom 20 567 0.8× 120 0.6× 142 1.0× 42 0.3× 66 0.7× 65 1.3k
Liangfu Chen United States 21 619 0.9× 45 0.2× 223 1.6× 56 0.4× 98 1.0× 40 1.2k
Hamiyet Ünal United States 15 600 0.8× 27 0.1× 68 0.5× 66 0.5× 62 0.6× 21 941
J Bouhnik France 22 646 0.9× 31 0.2× 43 0.3× 49 0.4× 46 0.5× 68 1.4k
Benjamin Spindler Switzerland 10 641 0.9× 137 0.7× 126 0.9× 19 0.1× 29 0.3× 11 997
Bruna V. Jardim‐Perassi Brazil 18 356 0.5× 119 0.6× 138 1.0× 197 1.5× 156 1.6× 28 1.0k
Calvin Yee United States 11 287 0.4× 76 0.4× 122 0.9× 30 0.2× 80 0.8× 13 672
Sadaharu Higuchi Japan 12 562 0.8× 46 0.2× 67 0.5× 19 0.1× 46 0.5× 18 980
Debra F. Skafar United States 20 417 0.6× 105 0.6× 221 1.6× 36 0.3× 52 0.5× 36 1.0k

Countries citing papers authored by Chin‐Rang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Rang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Rang Yang. 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 Chin‐Rang Yang. The network helps show where Chin‐Rang Yang may publish in the future.

Co-authorship network of co-authors of Chin‐Rang Yang

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

All Works

20 of 20 papers shown
1.
Poll, Brian G., et al.. (2024). A resource database for protein kinase substrate sequence-preference motifs based on large-scale mass spectrometry data. Cell Communication and Signaling. 22(1). 137–137. 8 indexed citations
2.
Mejia, Raymond, et al.. (2024). Bayesian mapping of protein kinases to vasopressin-regulated phosphorylation sites in renal collecting duct. American Journal of Physiology-Renal Physiology. 327(4). F591–F598. 1 indexed citations
3.
Mejia, Raymond, et al.. (2024). A brief history of the cortical thick ascending limb: a systems-biology perspective. American Journal of Physiology-Renal Physiology. 328(1). F82–F94. 1 indexed citations
4.
Yang, Chin‐Rang, Angel Aponte, Hiroaki Kikuchi, et al.. (2023). Circadian gene expression in mouse renal proximal tubule. American Journal of Physiology-Renal Physiology. 324(3). F301–F314. 3 indexed citations
5.
Yang, Chin‐Rang, et al.. (2023). Using CRISPR-Cas9/phosphoproteomics to identify substrates of calcium/calmodulin-dependent kinase 2δ. Journal of Biological Chemistry. 299(12). 105371–105371. 4 indexed citations
6.
Chen, Lihe, Chung‐Lin Chou, Chin‐Rang Yang, & Mark A. Knepper. (2023). Multiomics Analyses Reveal Sex Differences in Mouse Renal Proximal Subsegments. Journal of the American Society of Nephrology. 34(5). 829–845. 16 indexed citations
7.
Chou, Chung‐Lin, Chin‐Rang Yang, Lihe Chen, et al.. (2023). Signaling mechanisms in renal compensatory hypertrophy revealed by multi-omics. Nature Communications. 14(1). 3481–3481. 19 indexed citations
8.
Chen, Lihe, Viswanathan Raghuram, Chung‐Lin Chou, et al.. (2021). “ADPKD-omics”: determinants of cyclic AMP levels in renal epithelial cells. Kidney International. 101(1). 47–62. 8 indexed citations
9.
Datta, Arnab, et al.. (2020). Phosphoproteomic identification of vasopressin‐regulated protein kinases in collecting duct cells. British Journal of Pharmacology. 178(6). 1426–1444. 15 indexed citations
10.
Chen, Lihe, Kavee Limbutara, Hyun Jun Jung, et al.. (2019). RNA-Seq and protein mass spectrometry in microdissected kidney tubules reveal signaling processes initiating lithium-induced nephrogenic diabetes insipidus. Kidney International. 96(2). 363–377. 27 indexed citations
11.
Li, Yaqin, Lianghao Ding, Chin‐Rang Yang, et al.. (2014). Characterization of Transcription Factor Networks Involved in Umbilical Cord Blood CD34+ Stem Cells-Derived Erythropoiesis. PLoS ONE. 9(9). e107133–e107133. 8 indexed citations
12.
Yang, Chin‐Rang, et al.. (2010). Functional proteomic pattern identification under low dose ionizing radiation. Artificial Intelligence in Medicine. 49(3). 177–185. 4 indexed citations
13.
Yang, Chin‐Rang. (2008). An enzyme-centric approach for modelling non-linear biological complexity. BMC Systems Biology. 2(1). 70–70. 6 indexed citations
14.
Bey, Erik A., Shelly M. Wuerzberger‐Davis, John J. Pink, et al.. (2006). Mornings with art, lessons learned: Feedback regulation, restriction threshold biology, and redundancy govern molecular stress responses. Journal of Cellular Physiology. 209(3). 604–610. 22 indexed citations
15.
Hicks, Martin J., Chin‐Rang Yang, Matthew V. Kotlajich, & Klemens J. Hertel. (2006). Linking Splicing to Pol II Transcription Stabilizes Pre-mRNAs and Influences Splicing Patterns. PLoS Biology. 4(6). e147–e147. 73 indexed citations
16.
Yang, Chin‐Rang, Bruce E. Shapiro, She‐pin Hung, Eric Mjolsness, & G. Wesley Hatfield. (2005). A Mathematical Model for the Branched Chain Amino Acid Biosynthetic Pathways of Escherichia coli K12. Journal of Biological Chemistry. 280(12). 11224–11232. 31 indexed citations
17.
18.
Yang, Chin‐Rang, Bruce E. Shapiro, Eric Mjolsness, & G. Wesley Hatfield. (2004). An enzyme mechanism language for the mathematical modeling of metabolic pathways. Bioinformatics. 21(6). 774–780. 34 indexed citations
19.
Leskov, Konstantin, Tracy Criswell, Jing Li, et al.. (2001). When X-ray-inducible proteins meet DNA double strand break repair. Seminars in Radiation Oncology. 11(4). 352–372. 48 indexed citations
20.
Sahijdak, Walter M., et al.. (1994). Alterations in Transcription Factor Binding in Radioresistant Human Melanoma Cells after Ionizing Radiation. Radiation Research. 138(1). S47–S47. 47 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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