John Bell

3.9k total citations
49 papers, 1.4k citations indexed

About

John Bell is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, John Bell has authored 49 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 12 papers in Genetics and 9 papers in Plant Science. Recurrent topics in John Bell's work include Genomics and Phylogenetic Studies (14 papers), Cancer Genomics and Diagnostics (8 papers) and RNA and protein synthesis mechanisms (6 papers). John Bell is often cited by papers focused on Genomics and Phylogenetic Studies (14 papers), Cancer Genomics and Diagnostics (8 papers) and RNA and protein synthesis mechanisms (6 papers). John Bell collaborates with scholars based in United States, Australia and Netherlands. John Bell's co-authors include Jeffrey D. Karron, Randall J. Mitchell, Hanlee P. Ji, Nancy R. Zhang, Georges Natsoulis, G.W. Ziggers, Jason D. Buenrostro, Patrick Flaherty, Mark A. Winters and Mark Holodniy and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Blood.

In The Last Decade

John Bell

47 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Bell United States	18	590	568	528	340	230	49	1.4k
S.A. Johnson United States	23	240 0.4×	1.1k 2.0×	744 1.4×	35 0.1×	139 0.6×	76	2.6k
George Jones United Kingdom	35	383 0.6×	2.2k 3.8×	2.4k 4.5×	37 0.1×	692 3.0×	106	4.0k
Wendy J. Bailey United States	19	92 0.2×	789 1.4×	193 0.4×	53 0.2×	314 1.4×	33	1.5k
Anthony Webster United Kingdom	22	61 0.1×	647 1.1×	1.0k 2.0×	65 0.2×	128 0.6×	123	2.1k
Yung Chul Park South Korea	24	458 0.8×	416 0.7×	132 0.3×	21 0.1×	522 2.3×	186	1.9k
Rob J. Kulathinal United States	20	462 0.8×	933 1.6×	303 0.6×	43 0.1×	1.2k 5.1×	54	2.0k
James S. Rogers United States	18	181 0.3×	519 0.9×	190 0.4×	146 0.4×	419 1.8×	50	1.3k
George R. Young United Kingdom	27	64 0.1×	1.4k 2.4×	955 1.8×	19 0.1×	449 2.0×	66	2.9k
Thomas Miller United States	18	98 0.2×	948 1.7×	350 0.7×	11 0.0×	155 0.7×	40	2.2k
Patricia C. O’Brien United Kingdom	33	156 0.3×	1.1k 1.9×	1.3k 2.5×	51 0.1×	1.6k 6.9×	99	4.9k

Countries citing papers authored by John Bell

Since Specialization

Citations

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

Fields of papers citing papers by John Bell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Bell. 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 John Bell. The network helps show where John Bell may publish in the future.

Co-authorship network of co-authors of John Bell

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

All Works

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20 of 20 papers shown

Schneider, Adriano de Bernardi, Michelle Su, Angie S. Hinrichs, et al.. (2024). SARS-CoV-2 lineage assignments using phylogenetic placement/UShER are superior to pangoLEARN machine-learning method. Virus Evolution. 10(1). vead085–vead085. 8 indexed citations

Deutzmann, Anja, Delaney K. Sullivan, Renumathy Dhanasekaran, et al.. (2024). Nuclear to cytoplasmic transport is a druggable dependency in MYC-driven hepatocellular carcinoma. Nature Communications. 15(1). 963–963. 8 indexed citations

Smith, Emily, Kevin Libuit, Michelle R. Scribner, et al.. (2023). Pathogen genomics in public health laboratories: successes, challenges, and lessons learned from California’s SARS-CoV-2 Whole-Genome Sequencing Initiative, California COVIDNet. Microbial Genomics. 9(6). 3 indexed citations

Romme, A.G.L., et al.. (2023). Designing a deep-tech venture builder to address grand challenges and overcome the valley of death. Journal of Organization Design. 12(4). 217–237. 14 indexed citations

Romme, A.G.L., et al.. (2023). Designing and Testing a Tool That Connects the Value Proposition of Deep-Tech Ventures to SDGs. Designs. 7(2). 50–50. 8 indexed citations

Wadford, Debra A., Nikki Baumrind, John Bell, et al.. (2023). Implementation of California COVIDNet – a multi-sector collaboration for statewide SARS-CoV-2 genomic surveillance. Frontiers in Public Health. 11. 1249614–1249614. 5 indexed citations

Lee, HoJoon, et al.. (2020). Unique k -mer sequences for validating cancer-related substitution, insertion and deletion mutations. NAR Cancer. 2(4). zcaa034–zcaa034. 6 indexed citations

Hummelen, Paul Van, Matthew Kubit, HoJoon Lee, et al.. (2020). Whole genome analysis identifies the association of TP53 genomic deletions with lower survival in Stage III colorectal cancer. Scientific Reports. 10(1). 5009–5009. 6 indexed citations

Zhou, Bo, Steve S. Ho, Stephanie Greer, et al.. (2019). Haplotype-resolved and integrated genome analysis of the cancer cell line HepG2. Nucleic Acids Research. 47(8). 3846–3861. 41 indexed citations

10.

Zhou, Bo, Steve S. Ho, Stephanie Greer, et al.. (2019). Comprehensive, integrated, and phased whole-genome analysis of the primary ENCODE cell line K562. Genome Research. 29(3). 472–484. 60 indexed citations

11.

Chen, Jiamin, et al.. (2019). A functional CRISPR/Cas9 screen identifies kinases that modulate FGFR inhibitor response in gastric cancer. Oncogenesis. 8(5). 33–33. 23 indexed citations

12.

Cushing, Anna M., Amanda Kamali, Mark A. Winters, et al.. (2015). Emergence of Hemagglutinin Mutations During the Course of Influenza Infection. Scientific Reports. 5(1). 16178–16178. 10 indexed citations

13.

Chen, Hao, et al.. (2014). Allele-specific copy number profiling by next-generation DNA sequencing. Nucleic Acids Research. 43(4). e23–e23. 37 indexed citations

14.

Myllykangas, Samuel, Jason D. Buenrostro, Georges Natsoulis, John Bell, & Hanlee P. Ji. (2011). Efficient targeted resequencing of human germline and cancer genomes by oligonucleotide-selective sequencing. Nature Biotechnology. 29(11). 1024–1027. 36 indexed citations

15.

Natsoulis, Georges, John Bell, Hua Xu, et al.. (2011). A Flexible Approach for Highly Multiplexed Candidate Gene Targeted Resequencing. PLoS ONE. 6(6). e21088–e21088. 14 indexed citations

16.

Newburger, Daniel E., Georges Natsoulis, Susan M. Grimes, et al.. (2011). The Human OligoGenome Resource: a database of oligonucleotide capture probes for resequencing target regions across the human genome. Nucleic Acids Research. 40(D1). D1137–D1143. 2 indexed citations

17.

Mitchell, Randall J., et al.. (2005). Patterns of multiple paternity in fruits of Mimulus ringens (Phrymaceae). American Journal of Botany. 92(5). 885–890. 40 indexed citations

18.

Karron, Jeffrey D., et al.. (2003). The influence of floral display size on selfing rates in Mimulus ringens. Heredity. 92(3). 242–248. 127 indexed citations

19.

Bell, John, et al.. (1989). Science at age 13 : a review of APU survey findings, 1980-84. HMSO eBooks. 49 indexed citations

20.

Bell, John. (1979). Bell's New pantheon. Garland Pub. eBooks.

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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