David M. Chao

2.7k total citations
18 papers, 2.3k citations indexed

About

David M. Chao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David M. Chao has authored 18 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David M. Chao's work include Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (5 papers) and RNA and protein synthesis mechanisms (4 papers). David M. Chao is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (5 papers) and RNA and protein synthesis mechanisms (4 papers). David M. Chao collaborates with scholars based in United States, Italy and Ireland. David M. Chao's co-authors include Anthony J. Koleske, Richard A. Young, Craig M. Thompson, Richard A. Young, Stephen F. Anderson, Jeffrey D. Parvin, Christopher J. Wilson, Robert E. Kingston, Anthony N. Imbalzano and Gavin R. Schnitzler and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

David M. Chao

18 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Chao United States 14 2.0k 417 165 128 124 18 2.3k
Didier Busso France 18 1.2k 0.6× 238 0.6× 155 0.9× 91 0.7× 85 0.7× 47 1.5k
Christiaan Karreman Germany 22 862 0.4× 260 0.6× 208 1.3× 144 1.1× 118 1.0× 45 1.6k
Haruhiko Ishii United States 11 2.6k 1.3× 266 0.6× 287 1.7× 298 2.3× 103 0.8× 15 2.8k
Gary M. Wilson United States 23 1.0k 0.5× 408 1.0× 135 0.8× 106 0.8× 109 0.9× 39 1.5k
J P Jost Switzerland 25 1.8k 0.9× 731 1.8× 103 0.6× 235 1.8× 99 0.8× 39 2.3k
Erich Brunner Switzerland 20 1.9k 0.9× 207 0.5× 207 1.3× 150 1.2× 206 1.7× 32 2.2k
Peter J. Watson United Kingdom 20 1.8k 0.9× 260 0.6× 367 2.2× 159 1.2× 359 2.9× 25 2.2k
Peter Tessarz Germany 18 1.9k 1.0× 233 0.6× 140 0.8× 115 0.9× 319 2.6× 32 2.3k
Laura J. Duggan United States 7 2.5k 1.2× 158 0.4× 153 0.9× 379 3.0× 116 0.9× 10 2.6k
David E. Sterner United States 21 3.1k 1.5× 291 0.7× 483 2.9× 334 2.6× 147 1.2× 32 3.5k

Countries citing papers authored by David M. Chao

Since Specialization
Citations

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

Fields of papers citing papers by David M. Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Chao. 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 David M. Chao. The network helps show where David M. Chao may publish in the future.

Co-authorship network of co-authors of David M. Chao

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

All Works

18 of 18 papers shown
1.
Suderman, Richard J., et al.. (2023). Protein engineering of a nanoCLAMP antibody mimetic scaffold as a platform for producing bioprocess-compatible affinity capture ligands. Journal of Biological Chemistry. 299(7). 104910–104910. 2 indexed citations
2.
Chao, David M., Hai T. Tran, Quinn H. Hogan, & Bin Pan. (2022). Analgesic dorsal root ganglion field stimulation blocks both afferent and efferent spontaneous activity in sensory neurons of rats with monosodium iodoacetate-induced osteoarthritis. Osteoarthritis and Cartilage. 30(11). 1468–1481. 7 indexed citations
3.
Suderman, Richard J., et al.. (2017). Development of polyol-responsive antibody mimetics for single-step protein purification. Protein Expression and Purification. 134. 114–124. 9 indexed citations
4.
Chao, David M., Gianfranco Balboni, L.H. Lazarus, Severo Salvadori, & Ying Xia. (2009). Na+ mechanism of δ-opioid receptor induced protection from anoxic K+ leakage in the cortex. Cellular and Molecular Life Sciences. 66(6). 1105–1115. 27 indexed citations
5.
Chao, David M., Alia Bazzy‐Asaad, Gianfranco Balboni, Severo Salvadori, & Ying Xia. (2008). Activation of DOR Attenuates Anoxic K+ Derangement via Inhibition of Na+ Entry in Mouse Cortex. Cerebral Cortex. 18(9). 2217–2227. 34 indexed citations
6.
Chao, David M., et al.. (2001). Melatonin Might be One Possible Medium of Electroacupuncture Anti-Seizures. Acupuncture & Electro-Therapeutics Research. 26(1-2). 39–48. 17 indexed citations
7.
Chao, David M., et al.. (1997). Functional antagonism between RNA polymerase II holoenzyme and global negative regulator NC2   in vivo. Proceedings of the National Academy of Sciences. 94(7). 3145–3150. 56 indexed citations
8.
Scully, Ralph, Stephen F. Anderson, David M. Chao, et al.. (1997). BRCA1 is a component of the RNA polymerase II holoenzyme. Proceedings of the National Academy of Sciences. 94(11). 5605–5610. 370 indexed citations
9.
Qin, Jun, David Fenyö, Yingming Zhao, et al.. (1997). A Strategy for Rapid, High-Confidence Protein Identification. Analytical Chemistry. 69(19). 3995–4001. 83 indexed citations
10.
Koleske, Anthony J., David M. Chao, & Richard A. Young. (1996). [16] Purification of yeast RNA polymerase II holoenzymes. Methods in enzymology on CD-ROM/Methods in enzymology. 273. 176–184. 14 indexed citations
11.
Chao, David M., et al.. (1996). A mammalian SRB protein associated with an RNA polymerase II holoenzyme. Nature. 380(6569). 82–85. 127 indexed citations
12.
Wilson, Christopher J., David M. Chao, Anthony N. Imbalzano, et al.. (1996). RNA Polymerase II Holoenzyme Contains SWI/SNF Regulators Involved in Chromatin Remodeling. Cell. 84(2). 235–244. 322 indexed citations
13.
Liao, Sha-Mei, Jianhua Zhang, D Jeffery, et al.. (1995). A kinase–cyclin pair in the RNA polymerase II holoenzyme. Nature. 374(6518). 193–196. 367 indexed citations
14.
Hengartner, Christoph J., Craig M. Thompson, David M. Chao, et al.. (1995). Association of an activator with an RNA polymerase II holoenzyme.. Genes & Development. 9(8). 897–910. 200 indexed citations
15.
Thompson, Craig M., Anthony J. Koleske, David M. Chao, & Richard A. Young. (1993). A multisubunit complex associated with the RNA polymerase II CTD and TATA-binding protein in yeast. Cell. 73(7). 1361–1375. 415 indexed citations
16.
Chao, David M. & Richard A. Young. (1991). Tailored tails and transcription initiation: the carboxyl terminal domain of RNA polymerase II.. PubMed. 1(1). 1–4. 5 indexed citations
17.
Scafe, Charles, David M. Chao, John M. Lopes, et al.. (1990). RNA polymerase II C-terminal repeat influences response to transcriptional enhancer signals. Nature. 347(6292). 491–494. 149 indexed citations
18.
Butler, Thomas, et al.. (1976). Yersinia pestis Infection in Vietnam. II; Quantitative Blood Cultures and Detection of Endotoxin in the Cerebrospinal Fluid of Patients with Meningitis. The Journal of Infectious Diseases. 133(5). 493–499. 60 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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