J.M. Jenson

420 total citations
8 papers, 279 citations indexed

About

J.M. Jenson is a scholar working on Molecular Biology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, J.M. Jenson has authored 8 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Agronomy and Crop Science. Recurrent topics in J.M. Jenson's work include interferon and immune responses (2 papers), Machine Learning in Bioinformatics (2 papers) and Cell death mechanisms and regulation (2 papers). J.M. Jenson is often cited by papers focused on interferon and immune responses (2 papers), Machine Learning in Bioinformatics (2 papers) and Cell death mechanisms and regulation (2 papers). J.M. Jenson collaborates with scholars based in United States and United Kingdom. J.M. Jenson's co-authors include Amy E. Keating, Zhijian J. Chen, Jeremy Ryan, Robert A. Grant, Anthony Letai, Tuo Li, Fenghe Du, Vincent Xue, Lothar Reich and Tirtha Mandal and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Molecular Cell.

In The Last Decade

J.M. Jenson

8 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J.M. Jenson United States	8	198	60	34	32	29	8	279
Ali Ghadersohi United States	10	144 0.7×	72 1.2×	39 1.1×	17 0.5×	37 1.3×	14	341
Richard W. Barnett Canada	10	360 1.8×	41 0.7×	21 0.6×	26 0.8×	29 1.0×	12	448
Émilie Vassal‐Stermann France	9	143 0.7×	55 0.9×	7 0.2×	15 0.5×	20 0.7×	17	266
S. Plaué France	10	236 1.2×	84 1.4×	13 0.4×	148 4.6×	23 0.8×	12	355
Dimitri Papukashvili China	12	212 1.1×	75 1.3×	6 0.2×	18 0.6×	21 0.7×	24	364
Matthew Bentham United Kingdom	8	102 0.5×	72 1.2×	16 0.5×	27 0.8×	13 0.4×	11	365
Anne Delers Belgium	7	159 0.8×	129 2.1×	19 0.6×	30 0.9×	11 0.4×	7	413
Ramesh Baliga United States	9	266 1.3×	71 1.2×	6 0.2×	151 4.7×	19 0.7×	17	378
Eri Takeda Japan	13	179 0.9×	146 2.4×	28 0.8×	9 0.3×	7 0.2×	25	437
Lori Pearson United States	9	268 1.4×	78 1.3×	21 0.6×	12 0.4×	20 0.7×	10	425

Countries citing papers authored by J.M. Jenson

Since Specialization

Citations

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

Fields of papers citing papers by J.M. Jenson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.M. Jenson. 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 J.M. Jenson. The network helps show where J.M. Jenson may publish in the future.

Co-authorship network of co-authors of J.M. Jenson

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Jenson, J.M. & Zhijian J. Chen. (2024). cGAS goes viral: A conserved immune defense system from bacteria to humans. Molecular Cell. 84(1). 120–130. 21 indexed citations

2.

Jenson, J.M., et al.. (2023). Ubiquitin-like conjugation by bacterial cGAS enhances anti-phage defence. Nature. 616(7956). 326–331. 61 indexed citations

3.

Frappier, Vincent, J.M. Jenson, Jianfu Zhou, Gevorg Grigoryan, & Amy E. Keating. (2019). Tertiary Structural Motif Sequence Statistics Enable Facile Prediction and Design of Peptides that Bind Anti-apoptotic Bfl-1 and Mcl-1. Structure. 27(4). 606–617.e5. 25 indexed citations

4.

Jenson, J.M., et al.. (2018). Peptide design by optimization on a data-parameterized protein interaction landscape. Proceedings of the National Academy of Sciences. 115(44). E10342–E10351. 41 indexed citations

5.

Bird, Gregory H., Jeremy Ryan, J.M. Jenson, et al.. (2018). Iterative optimization yields Mcl-1–targeting stapled peptides with selective cytotoxicity to Mcl-1–dependent cancer cells. Proceedings of the National Academy of Sciences. 115(5). E886–E895. 63 indexed citations

6.

Jenson, J.M., Jeremy Ryan, Robert A. Grant, Anthony Letai, & Amy E. Keating. (2017). Epistatic mutations in PUMA BH3 drive an alternate binding mode to potently and selectively inhibit anti-apoptotic Bfl-1. eLife. 6. 33 indexed citations

7.

Jenson, J.M., et al.. (2001). Effects of Endometritis at the Beginning of the Breeding Period on Reproductive Performance in Dairy Cows. American Association of Bovine Practitioners Conference Proceedings. 142–143. 16 indexed citations

8.

Sun, Huaichang, J.M. Jenson, Linda K. Dixon, & R. M. E. Parkhouse. (1996). Characterization of the African swine fever virion protein j18L. Journal of General Virology. 77(5). 941–946. 19 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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