James G. Wetmur

9.1k total citations · 1 hit paper
116 papers, 7.3k citations indexed

About

James G. Wetmur is a scholar working on Molecular Biology, Rheumatology and Genetics. According to data from OpenAlex, James G. Wetmur has authored 116 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 23 papers in Rheumatology and 15 papers in Genetics. Recurrent topics in James G. Wetmur's work include DNA and Nucleic Acid Chemistry (35 papers), Folate and B Vitamins Research (23 papers) and Advanced biosensing and bioanalysis techniques (15 papers). James G. Wetmur is often cited by papers focused on DNA and Nucleic Acid Chemistry (35 papers), Folate and B Vitamins Research (23 papers) and Advanced biosensing and bioanalysis techniques (15 papers). James G. Wetmur collaborates with scholars based in United States, Vietnam and Czechia. James G. Wetmur's co-authors include Norman Davidson, Mary S. Wolff, Jia Chen, Gertrud S. Berkowitz, Robert J. Desnick, Stephanie M. Engel, Susan L. Teitelbaum, James R. Hutton, Chenbo Zhu and Dana Boyd Barr and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

James G. Wetmur

112 papers receiving 6.8k citations

Hit Papers

Kinetics of renaturation of DNA 1968 2026 1987 2006 1968 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James G. Wetmur United States 46 3.6k 1.8k 1.4k 901 669 116 7.3k
Henrik Leffers Denmark 53 6.1k 1.7× 2.3k 1.2× 470 0.3× 1.7k 1.9× 335 0.5× 155 11.4k
Bernard Jégou France 60 3.6k 1.0× 2.3k 1.3× 699 0.5× 2.6k 2.9× 191 0.3× 241 12.7k
Dolores D. Mruk United States 71 5.4k 1.5× 1.8k 1.0× 462 0.3× 2.0k 2.2× 1.3k 2.0× 223 15.0k
Philip G. Board Australia 61 9.2k 2.5× 484 0.3× 616 0.4× 970 1.1× 502 0.8× 285 12.2k
Robert C. Burghardt United States 72 5.7k 1.6× 1.0k 0.6× 464 0.3× 2.9k 3.3× 543 0.8× 320 16.5k
Kenneth B. Beckman United States 36 4.5k 1.2× 361 0.2× 511 0.4× 927 1.0× 289 0.4× 78 8.7k
Klaus Schwarz Germany 61 5.3k 1.5× 1.7k 0.9× 894 0.7× 1.7k 1.9× 367 0.5× 252 14.9k
Andrew G. Smith United Kingdom 47 3.0k 0.8× 507 0.3× 388 0.3× 407 0.5× 253 0.4× 226 7.0k
James W. Overstreet United States 58 1.6k 0.4× 1.1k 0.6× 591 0.4× 1.4k 1.5× 119 0.2× 234 11.8k
Chisato Mori Japan 41 3.1k 0.8× 1.7k 0.9× 288 0.2× 1.1k 1.3× 180 0.3× 303 9.0k

Countries citing papers authored by James G. Wetmur

Since Specialization
Citations

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

Fields of papers citing papers by James G. Wetmur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James G. Wetmur. 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 James G. Wetmur. The network helps show where James G. Wetmur may publish in the future.

Co-authorship network of co-authors of James G. Wetmur

This figure shows the co-authorship network connecting the top 25 collaborators of James G. Wetmur. A scholar is included among the top collaborators of James G. Wetmur 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 James G. Wetmur. James G. Wetmur 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.
Aushev, Vasily N., Eunjee Lee, Jun Zhu, et al.. (2017). Novel Predictors of Breast Cancer Survival Derived from miRNA Activity Analysis. Clinical Cancer Research. 24(3). 581–591. 23 indexed citations
2.
Kim, Stephanie, Melissa Eliot, Devin C. Koestler, et al.. (2016). Enlarged Leukocyte Referent Libraries can Explain Additional Variance in Blood-Based Epigenome-Wide Association Studies. Epigenomics. 8(9). 1185–1192. 11 indexed citations
3.
Engel, Stephanie M., James G. Wetmur, Jia Chen, et al.. (2011). Prenatal Exposure to Organophosphates, Paraoxonase 1, and Cognitive Development in Childhood. Environmental Health Perspectives. 119(8). 1182–1188. 309 indexed citations
4.
Hu, Jianzhong, German Nudelman, Yishai Shimoni, et al.. (2011). Role of Cell-to-Cell Variability in Activating a Positive Feedback Antiviral Response in Human Dendritic Cells. PLoS ONE. 6(2). e16614–e16614. 29 indexed citations
5.
Lambertini, Luca, TL Lee, Wai‐Yee Chan, et al.. (2011). Differential Methylation of Imprinted Genes in Growth-Restricted Placentas. Reproductive Sciences. 18(11). 1111–1117. 27 indexed citations
6.
Zaslavsky, Elena, Uri Hershberg, Jeremy Seto, et al.. (2010). Antiviral Response Dictated by Choreographed Cascade of Transcription Factors. The Journal of Immunology. 184(6). 2908–2917. 45 indexed citations
7.
Wetmur, James G. & Jia Chen. (2010). Linking Emulsion PCR Haplotype Analysis. Methods in molecular biology. 687. 165–175. 3 indexed citations
8.
Wolff, Mary S., Stephanie M. Engel, Gertrud S. Berkowitz, et al.. (2007). Prenatal Pesticide and PCB Exposures and Birth Outcomes. Pediatric Research. 61(2). 243–250. 138 indexed citations
9.
Wallenstein, Sylvan, Jia Chen, & James G. Wetmur. (2006). Comparison of statistical models for analyzing genotype, inferred haplotype, and molecular haplotype data. Molecular Genetics and Metabolism. 89(3). 270–273. 1 indexed citations
10.
Voho, Anu, et al.. (2006). Lipase Expression and Activity in Saliva in a Healthy Population. Epidemiology. 17(Suppl). S336–S336. 9 indexed citations
11.
Chen, Jia, et al.. (2004). Polymorphism in the Thymidylate Synthase Promoter Enhancer Region and Risk of Colorectal Adenomas. Cancer Epidemiology Biomarkers & Prevention. 13(12). 2247–2250. 33 indexed citations
12.
Chen, Jia, Søren Germer, Russell Higuchi, et al.. (2002). Kinetic Polymerase Chain Reaction on Pooled DNA. Cancer Epidemiology and Prevention Biomarkers. 11(1). 131–136. 1 indexed citations
13.
Chen, Jia, Søren Germer, Russell Higuchi, et al.. (2002). Kinetic polymerase chain reaction on pooled DNA: a high-throughput, high-efficiency alternative in genetic epidemiological studies.. PubMed. 11(1). 131–6. 22 indexed citations
14.
Wetmur, James G.. (1991). DNA Probes: Applications of the Principles of Nucleic Acid Hybridization. Critical Reviews in Biochemistry and Molecular Biology. 26(3-4). 227–259. 348 indexed citations
15.
Weinstock, Peter, et al.. (1991). Branch capture reactions: displacers derived from asymmetric PCR. Nucleic Acids Research. 19(9). 2251–2259. 6 indexed citations
16.
Astrin, Kenneth H., Ali Kaya, James G. Wetmur, & Robert J. Desnick. (1991). Rsalpolymorphism in the human §-aminolevulinate dehydratase gene at 9q34. Nucleic Acids Research. 19(15). 4307–4307. 1 indexed citations
17.
Wetmur, James G.. (1975). Acceleration of DNA renaturation rates. Biopolymers. 14(12). 2517–2524. 61 indexed citations
18.
Wetmur, James G., et al.. (1974). In vitro iodination of DNA. Maximizing iodination while minimizing degradation. Use of buoyant density shifts for DNA-DNA hybrid isolation. Biochemistry. 13(27). 5467–5473. 69 indexed citations
19.
Miller, Stephen J. & James G. Wetmur. (1974). Electric birefringence of native DNA in an alternating field. Biopolymers. 13(1). 115–128. 16 indexed citations
20.
Lee, Cheng H. & James G. Wetmur. (1972). On the kinetics of helix formation between complementary ribohomopolymes and deoxyribohomopolymers. Biopolymers. 11(7). 1485–1497. 22 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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