Jon Kerry

1.2k total citations
9 papers, 471 citations indexed

About

Jon Kerry is a scholar working on Molecular Biology, Hematology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jon Kerry has authored 9 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Hematology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jon Kerry's work include Genomics and Chromatin Dynamics (7 papers), Acute Myeloid Leukemia Research (4 papers) and Protein Degradation and Inhibitors (3 papers). Jon Kerry is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), Acute Myeloid Leukemia Research (4 papers) and Protein Degradation and Inhibitors (3 papers). Jon Kerry collaborates with scholars based in United Kingdom, United States and Australia. Jon Kerry's co-authors include Thomas A. Milne, Erica Ballabio, Marta Tapia, Huimin Geng, Douglas R. Higgs, Laura Godfrey, Emmanouela Repapi, James Davies, Robert G. Roeder and Phillip North and has published in prestigious journals such as Nature Communications, Blood and Cell Reports.

In The Last Decade

Jon Kerry

9 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jon Kerry United Kingdom	8	405	103	55	42	38	9	471
Mira Kassouf United Kingdom	8	453 1.1×	89 0.9×	80 1.5×	41 1.0×	58 1.5×	14	542
Anne-Gaëlle Rio France	8	386 1.0×	79 0.8×	44 0.8×	15 0.4×	21 0.6×	11	486
Katharina Boroviak United Kingdom	8	270 0.7×	57 0.6×	30 0.5×	20 0.5×	36 0.9×	8	361
Sandie Piltz United Kingdom	9	403 1.0×	146 1.4×	16 0.3×	35 0.8×	22 0.6×	11	507
Anton Willer Denmark	6	371 0.9×	92 0.9×	18 0.3×	12 0.3×	22 0.6×	7	434
Sandeep N. Wontakal United States	9	309 0.8×	46 0.4×	71 1.3×	40 1.0×	27 0.7×	13	371
Yasunao Kamikawa Japan	10	452 1.1×	37 0.4×	22 0.4×	15 0.4×	14 0.4×	18	513
Tony Brooks United Kingdom	9	272 0.7×	57 0.6×	13 0.2×	10 0.2×	54 1.4×	15	386
Xianrong Wong United States	12	587 1.4×	26 0.3×	46 0.8×	18 0.4×	20 0.5×	16	667
Amanda E. Conway United States	7	294 0.7×	30 0.3×	57 1.0×	32 0.8×	5 0.1×	7	365

Countries citing papers authored by Jon Kerry

Since Specialization

Citations

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

Fields of papers citing papers by Jon Kerry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Kerry

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

All Works

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9 of 9 papers shown

1.

Crump, Nicholas T., Erica Ballabio, Laura Godfrey, et al.. (2021). BET inhibition disrupts transcription but retains enhancer-promoter contact. Nature Communications. 12(1). 223–223. 76 indexed citations

2.

Downes, Damien J., Robert A. Beagrie, Matthew Gosden, et al.. (2021). High-resolution targeted 3C interrogation of cis-regulatory element organization at genome-wide scale. Nature Communications. 12(1). 531–531. 23 indexed citations

3.

Oudelaar, A. Marieke, Robert A. Beagrie, Matthew Gosden, et al.. (2020). Dynamics of the 4D genome during in vivo lineage specification and differentiation. Nature Communications. 11(1). 2722–2722. 77 indexed citations

4.

Numata, Akihiko, Hui Si Kwok, Akira Kawasaki, et al.. (2018). The basic helix-loop-helix transcription factor SHARP1 is an oncogenic driver in MLL-AF6 acute myelogenous leukemia. Nature Communications. 9(1). 1622–1622. 21 indexed citations

5.

Kerry, Jon, Laura Godfrey, Emmanouela Repapi, et al.. (2017). MLL-AF4 Spreading Identifies Binding Sites that Are Distinct from Super-Enhancers and that Govern Sensitivity to DOT1L Inhibition in Leukemia. Cell Reports. 18(2). 482–495. 51 indexed citations

6.

Nguyen, Diu, Hsiao P. J. Voon, Barbara Xella, et al.. (2017). The chromatin remodelling factor ATRX suppresses R‐loops in transcribed telomeric repeats. EMBO Reports. 18(6). 914–928. 102 indexed citations

7.

Godfrey, Laura, Jon Kerry, Ross Thorne, et al.. (2016). MLL-AF4 binds directly to a BCL-2 specific enhancer and modulates H3K27 acetylation. Experimental Hematology. 47. 64–75. 20 indexed citations

8.

Lin, Shan, Anetta Ptasinska, Salam A. Assi, et al.. (2016). The Transcriptome Heterogeneity of MLL-Fusion ALL Is Driven By Fusion Partners Via Distinct Chromatin Binding. Blood. 128(22). 576–576. 1 indexed citations

9.

Wilkinson, Adam C., Erica Ballabio, Huimin Geng, et al.. (2013). RUNX1 Is a Key Target in t(4;11) Leukemias that Contributes to Gene Activation through an AF4-MLL Complex Interaction. Cell Reports. 3(1). 116–127. 100 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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