John L. Yates

2.8k total citations · 1 hit paper
22 papers, 2.3k citations indexed

About

John L. Yates is a scholar working on Oncology, Epidemiology and Molecular Biology. According to data from OpenAlex, John L. Yates has authored 22 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 8 papers in Epidemiology and 7 papers in Molecular Biology. Recurrent topics in John L. Yates's work include Viral-associated cancers and disorders (16 papers), Cytomegalovirus and herpesvirus research (8 papers) and Lymphoma Diagnosis and Treatment (6 papers). John L. Yates is often cited by papers focused on Viral-associated cancers and disorders (16 papers), Cytomegalovirus and herpesvirus research (8 papers) and Lymphoma Diagnosis and Treatment (6 papers). John L. Yates collaborates with scholars based in United States, United Kingdom and Germany. John L. Yates's co-authors include Bill Sugden, Michio Nomura, Salvatore Camiolo, Margaret E. Diamond, Dennis R. Dean, Иван Тодоров, Biswendu Chaudhuri, Hongzhan Xu, Anindya Dutta and Joyce D. Fingeroth and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

John L. Yates

22 papers receiving 2.3k citations

Hit Papers

Stable replication of plasmids derived from Epstein–Barr ... 1985 2026 1998 2012 1985 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
John L. Yates United States 20 1.4k 888 841 472 471 22 2.3k
D R Rawlins United States 13 857 0.6× 521 0.6× 574 0.7× 326 0.7× 328 0.7× 14 1.5k
Hiroki Isomura Japan 28 1.1k 0.8× 1.3k 1.5× 602 0.7× 207 0.4× 163 0.3× 52 2.1k
Évelyne Manet France 30 1.8k 1.3× 1.0k 1.2× 788 0.9× 145 0.3× 633 1.3× 61 2.7k
Micah A. Luftig United States 30 1.7k 1.2× 1.1k 1.2× 976 1.2× 195 0.4× 549 1.2× 68 3.0k
Ayumi Kudoh Japan 26 975 0.7× 847 1.0× 540 0.6× 166 0.4× 167 0.4× 35 1.7k
Henri Gruffat France 33 1.7k 1.2× 1.0k 1.2× 693 0.8× 110 0.2× 543 1.2× 67 2.6k
Simon J. Talbot United Kingdom 20 727 0.5× 542 0.6× 661 0.8× 214 0.5× 171 0.4× 35 1.8k
Chris Dawson United Kingdom 14 891 0.6× 405 0.5× 579 0.7× 183 0.4× 264 0.6× 16 1.8k
James Kamine United States 20 550 0.4× 596 0.7× 581 0.7× 184 0.4× 130 0.3× 28 1.6k
Earl T. Sawai United States 23 790 0.5× 770 0.9× 561 0.7× 215 0.5× 208 0.4× 28 2.3k

Countries citing papers authored by John L. Yates

Since Specialization
Citations

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

Fields of papers citing papers by John L. Yates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John L. Yates

This figure shows the co-authorship network connecting the top 25 collaborators of John L. Yates. A scholar is included among the top collaborators of John L. Yates 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 L. Yates. John L. Yates 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.
Yates, John L., et al.. (2013). Efficient Replication of Epstein-Barr Virus-Derived Plasmids Requires Tethering by EBNA1 to Host Chromosomes. Journal of Virology. 87(23). 13020–13028. 21 indexed citations
2.
Noguchi, Kohji, Alex Vassilev, Soma Ghosh, John L. Yates, & Melvin Depamphilis. (2006). The BAH domain facilitates the ability of human Orc1 protein to activate replication origins in vivo. The EMBO Journal. 25(22). 5372–5382. 69 indexed citations
3.
Lee, Steven P., Jill Brooks, Wendy A. Thomas, et al.. (2004). CD8 T Cell Recognition of Endogenously Expressed Epstein-Barr Virus Nuclear Antigen 1. The Journal of Experimental Medicine. 199(10). 1409–1420. 125 indexed citations
4.
Landais, Elise, Xavier Saulquin, Emmanuel Scotet, et al.. (2003). Direct killing of Epstein-Barr virus (EBV)–infected B cells by CD4 T cells directed against the EBV lytic protein BHRF1. Blood. 103(4). 1408–1416. 59 indexed citations
5.
Fingeroth, Joyce D., et al.. (2002). Methylation of the EBV Genome and Establishment of Restricted Latency in Low-Passage EBV-Infected 293 Epithelial Cells. Virology. 299(1). 109–121. 22 indexed citations
6.
Yates, John L., et al.. (2001). Replication from oriP of Epstein-Barr Virus Requires Exact Spacing of Two Bound Dimers of EBNA1 Which Bend DNA. Journal of Virology. 75(22). 10603–10611. 47 indexed citations
7.
Chaudhuri, Biswendu, Hongzhan Xu, Иван Тодоров, Anindya Dutta, & John L. Yates. (2001). Human DNA replication initiation factors, ORC and MCM, associate with oriP of Epstein–Barr virus. Proceedings of the National Academy of Sciences. 98(18). 10085–10089. 159 indexed citations
8.
Yates, John L., et al.. (2000). The Minimal Replicator of Epstein-Barr VirusoriP. Journal of Virology. 74(10). 4512–4522. 2 indexed citations
9.
Norio, Paolo, Carl L. Schildkraut, & John L. Yates. (2000). Initiation of DNA Replication within oriP Is Dispensable for Stable Replication of the Latent Epstein-Barr Virus Chromosome after Infection of Established Cell Lines. Journal of Virology. 74(18). 8563–8574. 44 indexed citations
10.
Diamond, Margaret E., et al.. (1999). Genetic Evidence that EBNA-1 Is Needed for Efficient, Stable Latent Infection by Epstein-Barr Virus. Journal of Virology. 73(4). 2974–2982. 108 indexed citations
11.
Kim, Arianna L., Maureen Maher, Josef Ozer, et al.. (1997). An Imperfect Correlation between DNA Replication Activity of Epstein–Barr Virus Nuclear Antigen 1 (EBNA1) and Binding to the Nuclear Import Receptor, Rch1/importin α. Virology. 239(2). 340–351. 36 indexed citations
12.
Yates, John L.. (1996). 26 Epstein-Barr Virus DNA Replication. Cold Spring Harbor Monograph Archive. 31. 751–773. 32 indexed citations
13.
Yates, John L., et al.. (1996). Comparison of the EBNA1 Proteins of Epstein–Barr Virus and Herpesvirus Papio in Sequence and Function. Virology. 222(1). 1–13. 57 indexed citations
14.
Kim, Okjin, et al.. (1992). Targeted gene disruption in Epstein-Barr virus. Virology. 189(1). 253–265. 12 indexed citations
15.
Yates, John L., et al.. (1985). Stable replication of plasmids derived from Epstein–Barr virus in various mammalian cells. Nature. 313(6005). 812–815. 1103 indexed citations breakdown →
16.
Nomura, Michio, Dennis R. Dean, & John L. Yates. (1982). Feedback regulation of ribosomal protein synthesis in Escherichia coli. Trends in Biochemical Sciences. 7(3). 92–95. 29 indexed citations
17.
Dean, Dennis R., John L. Yates, & Michio Nomura. (1981). Escherichia coli ribosomal protein S8 feedback regulates part of spc operon. Nature. 289(5793). 89–91. 64 indexed citations
18.
Dean, Dennis R., John L. Yates, & Michio Nomura. (1981). Identification of ribosomal protein S7 as a repressor of translation within the str operon of E. coli. Cell. 24(2). 413–419. 49 indexed citations
19.
Yates, John L. & Michio Nomura. (1980). E. coli ribosomal protein L4 is a feedback regulatory protein. Cell. 21(2). 517–522. 94 indexed citations
20.
Furth, Mark E. & John L. Yates. (1978). Specificity determinants for bacteriophage lambda DNA replication. Journal of Molecular Biology. 126(2). 227–240. 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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