David A. Chin

3.2k total citations · 1 hit paper
111 papers, 2.4k citations indexed

About

David A. Chin is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, David A. Chin has authored 111 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Water Science and Technology, 39 papers in Environmental Engineering and 26 papers in Global and Planetary Change. Recurrent topics in David A. Chin's work include Hydrology and Watershed Management Studies (32 papers), Groundwater flow and contamination studies (20 papers) and Urban Stormwater Management Solutions (16 papers). David A. Chin is often cited by papers focused on Hydrology and Watershed Management Studies (32 papers), Groundwater flow and contamination studies (20 papers) and Urban Stormwater Management Solutions (16 papers). David A. Chin collaborates with scholars based in United States, Australia and Brazil. David A. Chin's co-authors include Anthony R. Means, Katharine E. Winkler, David L. Armstrong, Yasuo Mori, Yanhong Liao, Lutz Birnbaumer, Christian Erxleben, Claudio Gómez, Saverio Gentile and David D. Bosch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

David A. Chin

102 papers receiving 2.3k citations

Hit Papers

Calmodulin: a prototypical calcium sensor 2000 2026 2008 2017 2000 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Chin United States 20 1.1k 422 323 246 222 111 2.4k
David G. Thomas United States 24 574 0.5× 443 1.0× 335 1.0× 269 1.1× 139 0.6× 78 4.2k
Ming‐Jiun Yu United States 31 1.7k 1.5× 324 0.8× 323 1.0× 208 0.8× 162 0.7× 95 3.1k
Bing Shen China 37 1.5k 1.3× 118 0.3× 248 0.8× 316 1.3× 125 0.6× 325 5.5k
Søren B. Hansen Denmark 36 417 0.4× 197 0.5× 124 0.4× 282 1.1× 50 0.2× 125 4.1k
Zhiqiang Deng United States 30 573 0.5× 714 1.7× 761 2.4× 79 0.3× 148 0.7× 130 3.4k
Deming Zhao China 36 1.9k 1.7× 406 1.0× 175 0.5× 216 0.9× 149 0.7× 296 5.1k
Yonghong Zhang China 27 965 0.9× 230 0.5× 87 0.3× 265 1.1× 91 0.4× 103 2.4k
David Brandes United States 34 866 0.8× 225 0.5× 261 0.8× 64 0.3× 276 1.2× 128 3.6k
Lijuan Wang China 38 1.6k 1.4× 350 0.8× 97 0.3× 810 3.3× 150 0.7× 127 4.1k
David J. Brown United States 28 390 0.3× 1.7k 4.1× 49 0.2× 156 0.6× 219 1.0× 95 3.5k

Countries citing papers authored by David A. Chin

Since Specialization
Citations

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

Fields of papers citing papers by David A. Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Chin

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Chin. A scholar is included among the top collaborators of David A. Chin 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 A. Chin. David A. Chin 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.
Chin, David A.. (2024). Determination of the Water-Quality Rainfall and Design Drawdown Time of Stormwater Control Measures. Journal of Environmental Engineering. 150(9). 1 indexed citations
2.
Chin, David A.. (2024). Rainfall event separation and determination of the water quality volume. Journal of Hydrology. 642. 131881–131881.
3.
Chin, David A.. (2024). Identifying associations of water quality parameters using cluster analysis: A case study of Biscayne Bay, USA. Marine Pollution Bulletin. 211. 117465–117465. 1 indexed citations
4.
Chin, David A.. (2023). Discussion of “NRCS Curve Number Method: Comparison of Methods for Estimating the Curve Number from Rainfall-Runoff Data”. Journal of Hydrologic Engineering. 28(8). 4 indexed citations
5.
Chin, David A.. (2023). The Curve Number Method in the 21st Century. Journal of Irrigation and Drainage Engineering. 149(6). 1 indexed citations
6.
Chin, David A.. (2023). A New Method for Estimating Water-Quality Flows. Journal of Sustainable Water in the Built Environment. 9(4).
7.
Oerther, Daniel B., David A. Chin, Veera Gnaneswar Gude, et al.. (2021). The Academy, the Association, and the Society Advancing Environmental Engineering Training and Credentialing. Environmental Engineering Science. 38(10). 923–926. 6 indexed citations
9.
Chin, David A., et al.. (2018). Canonical Rainfall Distributions in the United States. Journal of Irrigation and Drainage Engineering. 144(11). 9 indexed citations
10.
Chin, David A.. (2016). Tracer Transport through Seepage Lakes. Journal of Hydrologic Engineering. 21(7).
11.
Liu, Ke, Lei Lyu, David A. Chin, et al.. (2015). Altered ubiquitin causes perturbed calcium homeostasis, hyperactivation of calpain, dysregulated differentiation, and cataract. Proceedings of the National Academy of Sciences. 112(4). 1071–1076. 52 indexed citations
12.
Chin, David A.. (2012). The Relationship between Flow and Bacteria in Streams. Water Environment Research. 84(3). 227–236. 1 indexed citations
13.
Chin, David A., Xiaoli Fan, & Li Y. (2010). Validation of Growth and Nutrient Uptake Models for Tomato on a Gravelly South Florida Soil Under Greenhouse Conditions. Pedosphere. 21(1). 46–55. 3 indexed citations
14.
Chin, David A., et al.. (2009). Nonlinear Flow in Karst Formations. Ground Water. 47(5). 669–674. 13 indexed citations
15.
Bloetscher, Frederick, et al.. (2005). Comparative Assessment of Municipal Wastewater Disposal Methods in Southeast Florida. Water Environment Research. 77(5). 480–490. 16 indexed citations
16.
Chin, David A. & Anthony R. Means. (2000). Calmodulin: a prototypical calcium sensor. Trends in Cell Biology. 10(8). 322–328. 1199 indexed citations breakdown →
17.
Chin, David A., Katharine E. Winkler, & Anthony R. Means. (1997). Characterization of Substrate Phosphorylation and Use of Calmodulin Mutants to Address Implications from the Enzyme Crystal Structure of Calmodulin-dependent Protein Kinase I. Journal of Biological Chemistry. 272(50). 31235–31240. 40 indexed citations
18.
Chin, David A., et al.. (1997). Functional Consequences of Truncating Amino Acid Side Chains Located at a Calmodulin-Peptide Interface. Journal of Biological Chemistry. 272(9). 5510–5513. 23 indexed citations
19.
Chin, David A. & Anthony R. Means. (1996). Methionine to Glutamine Substitutions in the C-terminal Domain of Calmodulin Impair the Activation of Three Protein Kinases. Journal of Biological Chemistry. 271(48). 30465–30471. 66 indexed citations
20.
Schlossmacher, Michael G., Beth L. Ostaszewski, Lanny I. Hecker, et al.. (1992). Detection of distinct isoform patterns of the β-amyloid precursor protein in human platelets and lymphocytes. Neurobiology of Aging. 13(3). 421–434. 50 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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