David H. Calhoun

1.9k total citations
50 papers, 1.5k citations indexed

About

David H. Calhoun is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, David H. Calhoun has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 19 papers in Genetics and 10 papers in Physiology. Recurrent topics in David H. Calhoun's work include Bacterial Genetics and Biotechnology (17 papers), Lysosomal Storage Disorders Research (9 papers) and Carbohydrate Chemistry and Synthesis (7 papers). David H. Calhoun is often cited by papers focused on Bacterial Genetics and Biotechnology (17 papers), Lysosomal Storage Disorders Research (9 papers) and Carbohydrate Chemistry and Synthesis (7 papers). David H. Calhoun collaborates with scholars based in United States. David H. Calhoun's co-authors include Roy A. Jensen, G. Wesley Hatfield, Petros Hantzopoulos, Shozo Yokoyama, B G Hall, John Edward Gray, Mark T. Quinn, Harold S. Bernstein, David F. Bishop and Robert J. Desnick and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

David H. Calhoun

49 papers receiving 1.3k 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 H. Calhoun United States 22 1.0k 418 247 238 162 50 1.5k
Audrée V. Fowler United States 26 1.8k 1.7× 668 1.6× 152 0.6× 379 1.6× 93 0.6× 56 2.5k
J. Van Beeumen Belgium 19 811 0.8× 184 0.4× 321 1.3× 115 0.5× 143 0.9× 39 1.6k
Ohsuk Kwon South Korea 28 1.8k 1.7× 798 1.9× 76 0.3× 156 0.7× 140 0.9× 71 2.4k
Joel G. Flaks United States 23 1.9k 1.8× 404 1.0× 51 0.2× 160 0.7× 149 0.9× 29 2.4k
Faik N. Musayev United States 25 853 0.8× 158 0.4× 131 0.5× 338 1.4× 103 0.6× 64 1.5k
Irving Zabin United States 31 2.4k 2.3× 1.0k 2.4× 175 0.7× 633 2.7× 69 0.4× 82 3.2k
Len Hall United Kingdom 28 1.0k 1.0× 264 0.6× 52 0.2× 177 0.7× 66 0.4× 71 1.9k
K.H. Kalk Netherlands 13 1.2k 1.1× 274 0.7× 43 0.2× 255 1.1× 40 0.2× 17 1.6k
Stuart M. Arfin United States 25 1.5k 1.4× 376 0.9× 37 0.1× 164 0.7× 66 0.4× 56 1.9k
Il‐Seon Park South Korea 26 1.1k 1.0× 110 0.3× 255 1.0× 113 0.5× 54 0.3× 57 1.7k

Countries citing papers authored by David H. Calhoun

Since Specialization
Citations

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

Fields of papers citing papers by David H. Calhoun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David H. Calhoun

This figure shows the co-authorship network connecting the top 25 collaborators of David H. Calhoun. A scholar is included among the top collaborators of David H. Calhoun 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 H. Calhoun. David H. Calhoun 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.
Gilchrist, M. Lane, et al.. (2020). Prediction of improved therapeutics for fabry disease patients generated by mutagenesis of the α-galactosidase A active site, dimer interface, and glycosylation region. Protein Expression and Purification. 175. 105710–105710. 4 indexed citations
2.
Meghdari, Ali, et al.. (2015). Carboxyl-Terminal Truncations Alter the Activity of the Human α-Galactosidase A. PLoS ONE. 10(2). e0118341–e0118341. 5 indexed citations
3.
Jin, Ming, et al.. (2003). Development of a large-scale HPLC-based purification for the urease from Staphylococcus leei and determination of subunit structure. Protein Expression and Purification. 34(1). 111–117. 18 indexed citations
4.
Calhoun, David H., et al.. (2002). Induction of Apoptosis in Human Replicative Senescent Fibroblasts. Experimental Cell Research. 274(1). 92–99. 34 indexed citations
5.
Calhoun, David H., Carol A. Bonner, Wei Gu, Gary Xie, & Roy A. Jensen. (2001). The emerging periplasm-localized subclass of AroQ chorismate mutases, exemplified by those from Salmonella typhimurium and Pseudomonas aeruginosa. Genome biology. 2(8). RESEARCH0030–RESEARCH0030. 49 indexed citations
6.
Chen, Yingsi, et al.. (2000). Purification and Characterization of Human α-Galactosidase A Expressed in Insect Cells Using a Baculovirus Vector. Protein Expression and Purification. 20(2). 228–236. 15 indexed citations
7.
Jin, Ming, et al.. (2000). Expression and Characterization of Glycosylated and Catalytically Active Recombinant Human α-Galactosidase A Produced in Pichia pastoris. Protein Expression and Purification. 20(3). 472–484. 52 indexed citations
8.
9.
Huang, Fei, Gary M. Coppola, & David H. Calhoun. (1992). Multiple transcripts encoded by the ilvGMEDA gene cluster of Escherichia coli K-12. Journal of Bacteriology. 174(15). 4871–4877. 11 indexed citations
10.
11.
Cox, James L., et al.. (1987). The complete nucleotide sequence of the ilvGMEDA cluster of Escherichia coli K-12. Gene. 56(2-3). 185–198. 33 indexed citations
12.
Hantzopoulos, Petros, et al.. (1987). A genomic clone containing the promoter for the gene encoding the human lysosomal enzyme, α-galactosidase A. Gene. 58(2-3). 177–188. 19 indexed citations
13.
Fong, Dunne, David H. Calhoun, W T Hsieh, B Lee, & Robert D. Wells. (1986). Isolation of a cDNA clone for the human lysosomal proteinase cathepsin B.. Proceedings of the National Academy of Sciences. 83(9). 2909–2913. 43 indexed citations
14.
Hall, B G, Shozo Yokoyama, & David H. Calhoun. (1984). Role of cryptic genes in microbial evolution.. Molecular Biology and Evolution. 1(1). 109–24. 122 indexed citations
15.
Byng, Graham S., James F. Kane, Roy A. Jensen, & David H. Calhoun. (1982). Diversity in the Routing and Regulation of Complex Biochemical Pathways as Indicators of Microbial Relatedness. PubMed. 9(4). 227–252. 61 indexed citations
16.
Calhoun, David H. & John Edward Gray. (1982). Cloning of the ilvA538 gene coding for feedback-hypersensitive threonine deaminase from Escherichia coli K-12. Journal of Bacteriology. 151(1). 274–280. 3 indexed citations
17.
Jensen, Roy A. & David H. Calhoun. (1978). Increased antimetabolite sensitivity with variation of carbon source during growth. Journal of Bacteriology. 133(3). 1232–1236. 4 indexed citations
18.
Calhoun, David H., et al.. (1975). Threonine deaminase from Escherichia coli. II. Maturation and physical properties of the enzyme from a mutant altered in its regulation of gene expression.. Journal of Biological Chemistry. 250(1). 127–131. 9 indexed citations
19.
Calhoun, David H., Ronald A. Rimerman, & G. Wesley Hatfield. (1973). Threonine Deaminase from Escherichia coli. Journal of Biological Chemistry. 248(10). 3511–3516. 52 indexed citations
20.
Calhoun, David H. & Thomas W. Feary. (1969). Transductional Analysis of Pseudomonas aeruginosa Methionineless Auxotrophs. Journal of Bacteriology. 97(1). 210–216. 31 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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