Connor Rosen

1.7k total citations · 2 hit papers
16 papers, 1.1k citations indexed

About

Connor Rosen is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Connor Rosen has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Infectious Diseases. Recurrent topics in Connor Rosen's work include Gut microbiota and health (4 papers), Vector-borne infectious diseases (3 papers) and Insect and Pesticide Research (2 papers). Connor Rosen is often cited by papers focused on Gut microbiota and health (4 papers), Vector-borne infectious diseases (3 papers) and Insect and Pesticide Research (2 papers). Connor Rosen collaborates with scholars based in United States, Netherlands and China. Connor Rosen's co-authors include Aaron M. Ring, Noah W. Palm, Haiwei Chen, Yi Yang, Agata A. Bielecka, Erica L. Herzog, Margaret A. Pisani, Lawrence H. Young, Andrew Wang and Harding H. Luan and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Connor Rosen

16 papers receiving 1.1k 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.

GDF15 Is an Inflammation-Induced Central Mediator of Tissue Tolerance

2019 342 citations Harding H. Luan, Andrew Wang et al. Cell profile →
A Forward Chemical Genetic Screen Reveals Gut Microbiota Metabolites That Modulate Host Physiology

2019 256 citations Haiwei Chen, Yi Yang et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Connor Rosen United States	11	584	385	266	231	159	16	1.1k
Noriko Koyama Japan	22	684 1.2×	344 0.9×	321 1.2×	72 0.3×	160 1.0×	60	1.4k
Irma Machuca‐Gayet France	18	899 1.5×	142 0.4×	170 0.6×	145 0.6×	282 1.8×	32	1.4k
Ohn A. Chow United States	7	240 0.4×	505 1.3×	166 0.6×	85 0.4×	57 0.4×	10	897
Subhajit Dasgupta United States	21	393 0.7×	437 1.1×	155 0.6×	51 0.2×	157 1.0×	47	1.3k
Haitham Idriss United Kingdom	10	518 0.9×	302 0.8×	97 0.4×	57 0.2×	165 1.0×	23	1.2k
Brian Naiman United States	11	305 0.5×	298 0.8×	92 0.3×	68 0.3×	103 0.6×	16	1.0k
Yasushi Takamori Japan	7	284 0.5×	483 1.3×	459 1.7×	120 0.5×	63 0.4×	9	1.2k
Timo Buhl Germany	21	164 0.3×	326 0.8×	441 1.7×	295 1.3×	363 2.3×	117	2.3k
Matteo Villa Germany	11	487 0.8×	564 1.5×	185 0.7×	49 0.2×	100 0.6×	18	1.2k

Countries citing papers authored by Connor Rosen

Since Specialization

Citations

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

Fields of papers citing papers by Connor Rosen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connor Rosen

This figure shows the co-authorship network connecting the top 25 collaborators of Connor Rosen. A scholar is included among the top collaborators of Connor Rosen 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 Connor Rosen. Connor Rosen 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:

16 of 16 papers shown

Marín-López, Alejandro, John D. Huck, Verónica Azcutia, et al.. (2024). The human CD47 checkpoint is targeted by an immunosuppressive Aedes aegypti salivary factor to enhance arboviral skin infectivity. Science Immunology. 9(98). eadk9872–eadk9872. 3 indexed citations

Schwager, Samantha C., Eugene Park, Anne van Abbema, et al.. (2024). Abstract 5379: Inhibition of ULK1/2-mediated autophagy augments antigen processing and presentation in STK11 mutant NSCLC. Cancer Research. 84(6_Supplement). 5379–5379. 1 indexed citations

Chen, Haiwei, Connor Rosen, Deguang Song, et al.. (2023). Highly multiplexed bioactivity screening reveals human and microbiota metabolome-GPCRome interactions. Cell. 186(14). 3095–3110.e19. 41 indexed citations

Alvarenga, Bonny D., et al.. (2023). 1447 STUB1 regulates IFNGR1 expression and IFNG sensitivity in human tumor cell lines. SHILAP Revista de lepidopterología. A1610–A1610. 1 indexed citations

Rice, Tyler, Agata A. Bielecka, Mytien Nguyen, et al.. (2022). Interspecies commensal interactions have nonlinear impacts on host immunity. Cell Host & Microbe. 30(7). 988–1002.e6. 48 indexed citations

Wang, Eric Y., Yile Dai, Connor Rosen, et al.. (2022). High-throughput identification of autoantibodies that target the human exoproteome. Cell Reports Methods. 2(2). 100172–100172. 36 indexed citations

Arora, Gunjan, Geoffrey E. Lynn, Xiaotian Tang, et al.. (2022). CD55 Facilitates Immune Evasion by Borrelia crocidurae, an Agent of Relapsing Fever. mBio. 13(5). e0116122–e0116122. 3 indexed citations

Gupta, Akash, Gunjan Arora, Connor Rosen, et al.. (2020). A human secretome library screen reveals a role for Peptidoglycan Recognition Protein 1 in Lyme borreliosis. PLoS Pathogens. 16(11). e1009030–e1009030. 10 indexed citations

Zhou, Ting, William Damsky, Orr-El Weizman, et al.. (2020). IL-18BP is a secreted immune checkpoint and barrier to IL-18 immunotherapy. Nature. 583(7817). 609–614. 238 indexed citations

10.

Cao, Yongguo, Connor Rosen, Gunjan Arora, et al.. (2020). An Ixodes scapularis Protein Disulfide Isomerase Contributes to Borrelia burgdorferi Colonization of the Vector. Infection and Immunity. 88(12). 6 indexed citations

11.

Luan, Harding H., Andrew Wang, Brandon K. Hilliard, et al.. (2019). GDF15 Is an Inflammation-Induced Central Mediator of Tissue Tolerance. Cell. 178(5). 1231–1244.e11. 342 indexed citations breakdown →

12.

Chen, Haiwei, Yi Yang, Connor Rosen, et al.. (2019). A Forward Chemical Genetic Screen Reveals Gut Microbiota Metabolites That Modulate Host Physiology. Cell. 177(5). 1217–1231.e18. 256 indexed citations breakdown →

13.

Rosen, Connor & Noah W. Palm. (2017). Functional Classification of the Gut Microbiota: The Key to Cracking the Microbiota Composition Code. BioEssays. 39(12). 31 indexed citations

14.

Wang, Qi, Erik Vogan, Laura M. Nocka, et al.. (2015). Autoinhibition of Bruton's tyrosine kinase (Btk) and activation by soluble inositol hexakisphosphate. eLife. 4. 81 indexed citations

15.

Brower, Christopher S., Connor Rosen, Richard H. Jones, et al.. (2014). Liat1, an arginyltransferase-binding protein whose evolution among primates involved changes in the numbers of its 10-residue repeats. Proceedings of the National Academy of Sciences. 111(46). E4936–45. 17 indexed citations

16.

Katsumoto, Tamiko R., Makoto Kudo, Chun Chen, et al.. (2013). The phosphatase CD148 promotes airway hyperresponsiveness through SRC family kinases. Journal of Clinical Investigation. 123(5). 2037–2048. 23 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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