Jeff G. Hall

1.8k total citations
19 papers, 1.4k citations indexed

About

Jeff G. Hall is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Jeff G. Hall has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Genetics. Recurrent topics in Jeff G. Hall's work include Advanced biosensing and bioanalysis techniques (8 papers), Molecular Biology Techniques and Applications (4 papers) and Hepatitis B Virus Studies (3 papers). Jeff G. Hall is often cited by papers focused on Advanced biosensing and bioanalysis techniques (8 papers), Molecular Biology Techniques and Applications (4 papers) and Hepatitis B Virus Studies (3 papers). Jeff G. Hall collaborates with scholars based in United States, China and Hong Kong. Jeff G. Hall's co-authors include James R. Prudent, Victor I. Lyamichev, Bruce Neri, Robert Kwiatkowski, Tamara Sander, Monika de Arruda, Andrea Mast, Michael W. Kaiser, Lloyd M. Smith and Mary Ann D. Brow and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Biotechnology.

In The Last Decade

Jeff G. Hall

19 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
Jeff G. Hall United States 15 795 411 323 204 156 19 1.4k
Peter E. Highfield United Kingdom 11 495 0.6× 254 0.6× 276 0.9× 62 0.3× 109 0.7× 17 1.1k
Tony S. Mondala United States 19 1.1k 1.4× 316 0.8× 174 0.5× 54 0.3× 95 0.6× 26 2.0k
Menashe Elazar United States 19 417 0.5× 577 1.4× 779 2.4× 146 0.7× 55 0.4× 26 1.3k
Robert Kwiatkowski United States 10 541 0.7× 192 0.5× 51 0.2× 177 0.9× 106 0.7× 14 964
Lars Östberg Sweden 27 843 1.1× 423 1.0× 189 0.6× 56 0.3× 239 1.5× 47 1.9k
Abdelfattah M. Attallah Egypt 22 287 0.4× 394 1.0× 331 1.0× 50 0.2× 48 0.3× 114 1.4k
Mariko Sato Japan 20 172 0.2× 213 0.5× 180 0.6× 102 0.5× 65 0.4× 93 1.2k
Orgad Laub Israel 24 812 1.0× 1.3k 3.1× 580 1.8× 58 0.3× 329 2.1× 40 2.2k
Dahlene N. Fusco United States 21 1.2k 1.5× 416 1.0× 386 1.2× 161 0.8× 120 0.8× 42 2.0k
Colette Jolivet‐Reynaud France 21 490 0.6× 124 0.3× 86 0.3× 44 0.2× 82 0.5× 38 1.4k

Countries citing papers authored by Jeff G. Hall

Since Specialization
Citations

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

Fields of papers citing papers by Jeff G. Hall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff G. Hall

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

All Works

19 of 19 papers shown
1.
Zheng, Songmao, Fang Shen, Brian H. Jones, et al.. (2020). Characterization of concurrent target suppression by JNJ-61178104, a bispecific antibody against human tumor necrosis factor and interleukin-17A. mAbs. 12(1). 1770018–1770018. 14 indexed citations
2.
Bourne, Eric, Jules L. Dienstag, Tamara Sander, et al.. (2006). Quantitative analysis of HBV cccDNA from clinical specimens: correlation with clinical and virological response during antiviral therapy. Journal of Viral Hepatitis. 14(1). 55–63. 43 indexed citations
3.
Yuen, Man‐Fung, Danny Ka‐Ho Wong, Erwin Sablon, et al.. (2004). HBsAg seroclearance in chronic hepatitis B in the Chinese: Virological, histological, and clinical aspects. Hepatology. 39(6). 1694–1701. 192 indexed citations
4.
Wang, Mark L., et al.. (2004). A novel method for detection of virus‐infected cells through moving optical gradient fields using adenovirus as a model system. Cytometry Part A. 58A(2). 140–146. 8 indexed citations
5.
Wong, Danny Ka‐Ho, Man‐Fung Yuen, He‐Jun Yuan, et al.. (2004). Quantitation of covalently closed circular hepatitis B virus DNA in chronic hepatitis B patients. Hepatology. 40(3). 727–737. 113 indexed citations
6.
Stevens, Priscilla Wilkins, et al.. (2003). Improved Sensitivity for Solid-Support Invasive Cleavage Reactions with Flow Cytometry Analysis. BioTechniques. 34(1). 198–203. 3 indexed citations
7.
Shortreed, Michael R., Jeff G. Hall, Liman Wang, et al.. (2002). A surface invasive cleavage assay for highly parallel SNP analysis. Human Mutation. 19(4). 416–422. 10 indexed citations
8.
Hall, Jeff G., Michael R. Shortreed, Liman Wang, et al.. (2002). Structure-Specific DNA Cleavage on Surfaces. Journal of the American Chemical Society. 124(27). 7924–7931. 24 indexed citations
9.
Eis, Peggy S., Marilyn C. Olson, Tsetska Takova, et al.. (2001). An invasive cleavage assay for direct quantitation of specific RNAs. Nature Biotechnology. 19(7). 673–676. 52 indexed citations
10.
Wang, Liman, et al.. (2001). A DNA computing readout operation based on structure-specific cleavage. Nature Biotechnology. 19(11). 1053–1059. 21 indexed citations
11.
Hall, Jeff G., Peggy S. Eis, Scott M. Law, et al.. (2000). Sensitive detection of DNA polymorphisms by the serial invasive signal amplification reaction. Proceedings of the National Academy of Sciences. 97(15). 8272–8277. 192 indexed citations
12.
Lyamichev, Victor I., Michael W. Kaiser, Alexander V. Vologodskii, et al.. (2000). Experimental and Theoretical Analysis of the Invasive Signal Amplification Reaction. Biochemistry. 39(31). 9523–9532. 69 indexed citations
13.
Lyamichev, Victor I., Andrea Mast, Jeff G. Hall, et al.. (1999). Polymorphism identification and quantitative detection of genomic DNA by invasive cleavage of oligonucleotide probes. Nature Biotechnology. 17(3). 292–296. 383 indexed citations
15.
Griffin, Timothy J., Jeff G. Hall, James R. Prudent, & Lloyd M. Smith. (1999). Direct genetic analysis by matrix-assisted laser desorption/ionization mass spectrometry. Proceedings of the National Academy of Sciences. 96(11). 6301–6306. 106 indexed citations
16.
Brow, Mary Ann D., Mary C. Oldenburg, Victor I. Lyamichev, et al.. (1996). Differentiation of bacterial 16S rRNA genes and intergenic regions and Mycobacterium tuberculosis katG genes by structure-specific endonuclease cleavage. Journal of Clinical Microbiology. 34(12). 3129–3137. 56 indexed citations
17.
Aramayo, Rodolfo, et al.. (1996). NUC-2, a component of the phosphate-regulated signal transduction pathway inNeurospora crassa, is an ankyrin repeat protein. Molecular and General Genetics MGG. 252(6). 709–716. 27 indexed citations
18.
McAlpine, P.J., P.M. Conneally, P.N. Goodfellow, et al.. (1987). Guidelines for Human Gene Nomenclature. Cytogenetic and Genome Research. 46(1-4). 11–28. 106 indexed citations
19.
Grant, C. K., et al.. (1971). Evidence for the role of antibody in the cytotoxic action of lymph cells on xenogeneic target cells.. PubMed. 11(3). 356–8. 16 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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