Jon P. Connelly

2.7k total citations · 1 hit paper
29 papers, 1.4k citations indexed

About

Jon P. Connelly is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Jon P. Connelly has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 7 papers in Immunology and 5 papers in Genetics. Recurrent topics in Jon P. Connelly's work include CRISPR and Genetic Engineering (12 papers), Epigenetics and DNA Methylation (5 papers) and RNA Interference and Gene Delivery (5 papers). Jon P. Connelly is often cited by papers focused on CRISPR and Genetic Engineering (12 papers), Epigenetics and DNA Methylation (5 papers) and RNA Interference and Gene Delivery (5 papers). Jon P. Connelly collaborates with scholars based in United States, United Kingdom and United Arab Emirates. Jon P. Connelly's co-authors include Shondra M. Pruett‐Miller, Matthew H. Porteus, Colin P. Florian, Monica F. Sentmanat, Samuel T. Peters, Jenny C. Barker, Matthew L. Hirsch, Brian L. Ellis, Robert J. Steininger and Raghvendra Mall and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Jon P. Connelly

27 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ZBP1-dependent inflammatory cell death, PANoptosis, and cytokine storm disrupt IFN therapeutic efficacy during coronavirus infection

2022 209 citations Rajendra Karki, SangJoon Lee et al. Science Immunology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jon P. Connelly United States	15	1.1k	369	264	144	102	29	1.4k
Dana L. Jackson United States	16	1.5k 1.3×	200 0.5×	244 0.9×	173 1.2×	236 2.3×	27	1.8k
Gaël A. Millot France	20	1.0k 0.9×	443 1.2×	232 0.9×	188 1.3×	99 1.0×	36	1.5k
H Ariga Japan	18	905 0.8×	286 0.8×	190 0.7×	198 1.4×	86 0.8×	39	1.3k
Abel Acosta‐Sanchez Belgium	7	882 0.8×	560 1.5×	152 0.6×	192 1.3×	33 0.3×	8	1.2k
Ingrid Ehrmann United Kingdom	23	1.2k 1.1×	552 1.5×	341 1.3×	60 0.4×	146 1.4×	32	1.8k
Hélène Strick‐Marchand France	21	976 0.9×	229 0.6×	460 1.7×	236 1.6×	83 0.8×	34	2.1k
T. Wilson United States	16	944 0.9×	194 0.5×	667 2.5×	282 2.0×	76 0.7×	30	1.7k
Jiazhi Hu China	21	1.9k 1.8×	349 0.9×	354 1.3×	255 1.8×	107 1.0×	40	2.2k
Andrea Calabria Italy	17	1.1k 1.0×	736 2.0×	233 0.9×	400 2.8×	92 0.9×	35	1.6k
Jacques Bollekens United States	14	983 0.9×	275 0.7×	265 1.0×	141 1.0×	130 1.3×	18	1.5k

Countries citing papers authored by Jon P. Connelly

Since Specialization

Citations

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

Fields of papers citing papers by Jon P. Connelly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon P. Connelly

This figure shows the co-authorship network connecting the top 25 collaborators of Jon P. Connelly. A scholar is included among the top collaborators of Jon P. Connelly 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 P. Connelly. Jon P. Connelly 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

1.

Singh, Shivendra V., Qiong Wu, Hongjian Jin, et al.. (2025). The context-dependent epigenetic and organogenesis programs determine 3D vs. 2D cellular fitness of MYC-driven murine liver cancer cells. eLife. 14.

2.

Xu, Yuanlin, et al.. (2025). Megabase-scale loss of heterozygosity provoked by CRISPR-Cas9 DNA double-strand breaks. Molecular Cell. 85(22). 4119–4137.e10. 1 indexed citations

3.

Singh, Shivendra V., Qiong Wu, Hongjian Jin, et al.. (2025). The context-dependent epigenetic and organogenesis programs determine 3D vs. 2D cellular fitness of MYC-driven murine liver cancer cells. eLife. 14. 1 indexed citations

4.

Malireddi, R. K. Subbarao, et al.. (2024). The protein phosphatase PP6 promotes RIPK1-dependent PANoptosis. BMC Biology. 22(1). 122–122. 20 indexed citations

5.

Connelly, Jon P., et al.. (2024). Generation of iPSC lines and isogenic gene-corrected lines from two individuals with RPS19-mutated Diamond-Blackfan anemia syndrome. Stem Cell Research. 79. 103479–103479. 2 indexed citations

6.

Malireddi, R. K. Subbarao, et al.. (2023). Inflammatory cell death, PANoptosis, screen identifies host factors in coronavirus innate immune response as therapeutic targets. Communications Biology. 6(1). 1071–1071. 7 indexed citations

7.

Connelly, Jon P., et al.. (2023). Short tandem repeat profiling via next-generation sequencing for cell line authentication. Disease Models & Mechanisms. 16(10). 2 indexed citations

8.

Narina, Shilpa, Jon P. Connelly, & Shondra M. Pruett‐Miller. (2023). High-Throughput Analysis of CRISPR-Cas9 Editing Outcomes in Cell and Animal Models Using CRIS.py. Methods in molecular biology. 2631. 155–182. 11 indexed citations

9.

Karki, Rajendra, SangJoon Lee, Raghvendra Mall, et al.. (2022). ZBP1-dependent inflammatory cell death, PANoptosis, and cytokine storm disrupt IFN therapeutic efficacy during coronavirus infection. Science Immunology. 7(74). eabo6294–eabo6294. 209 indexed citations breakdown →

10.

Gonzalez-Pena, Veronica, Sivaraman Natarajan, Yuntao Xia, et al.. (2021). Accurate genomic variant detection in single cells with primary template-directed amplification. Proceedings of the National Academy of Sciences. 118(24). 87 indexed citations

11.

Diedrich, Jonathan D., Qian Dong, Daniel C. Ferguson, et al.. (2021). Profiling chromatin accessibility in pediatric acute lymphoblastic leukemia identifies subtype-specific chromatin landscapes and gene regulatory networks. Leukemia. 35(11). 3078–3091. 10 indexed citations

12.

Hao, Xiaolei, Beisi Xu, Jeremy Chase Crawford, et al.. (2021). Foxp3 enhancers synergize to maximize regulatory T cell suppressive capacity. The Journal of Experimental Medicine. 218(8). 10 indexed citations

13.

Budhraja, Amit, J.A. Lynch, Kathryn G. Roberts, et al.. (2020). The Heme-Regulated Inhibitor Pathway Modulates Susceptibility of Poor Prognosis B-Lineage Acute Leukemia to BH3-Mimetics. Molecular Cancer Research. 19(4). 636–650. 12 indexed citations

14.

Tacer, Klementina Fon, Melissa J. Oatley, Tessa Lord, et al.. (2019). MAGE cancer-testis antigens protect the mammalian germline under environmental stress. Science Advances. 5(5). eaav4832–eaav4832. 60 indexed citations

15.

Connelly, Jon P. & Shondra M. Pruett‐Miller. (2019). CRIS.py: A Versatile and High-throughput Analysis Program for CRISPR-based Genome Editing. Scientific Reports. 9(1). 4194–4194. 97 indexed citations

16.

Sentmanat, Monica F., Samuel T. Peters, Colin P. Florian, Jon P. Connelly, & Shondra M. Pruett‐Miller. (2018). A Survey of Validation Strategies for CRISPR-Cas9 Editing. Scientific Reports. 8(1). 888–888. 236 indexed citations

17.

Wen, Yahong, Grace Liao, Thomas Pritchard, et al.. (2017). A stable but reversible integrated surrogate reporter for assaying CRISPR/Cas9-stimulated homology-directed repair. Journal of Biological Chemistry. 292(15). 6148–6162. 12 indexed citations

18.

Connelly, Jon P., Erika M. Kwon, Yongxing Gao, et al.. (2014). Targeted correction of RUNX1 mutation in FPD patient-specific induced pluripotent stem cells rescues megakaryopoietic defects. Blood. 124(12). 1926–1930. 54 indexed citations

19.

Ellis, Brian L., Matthew L. Hirsch, Jenny C. Barker, et al.. (2013). A survey of ex vivo/in vitro transduction efficiency of mammalian primary cells and cell lines with Nine natural adeno-associated virus (AAV1-9) and one engineered adeno-associated virus serotype. Virology Journal. 10(1). 74–74. 185 indexed citations

20.

Porteus, Matthew H., et al.. (2006). A Look to Future Directions in Gene Therapy Research for Monogenic Diseases. PLoS Genetics. 2(9). e133–e133. 56 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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