Jim Sun

1.9k total citations
32 papers, 1.4k citations indexed

About

Jim Sun is a scholar working on Infectious Diseases, Immunology and Molecular Biology. According to data from OpenAlex, Jim Sun has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 15 papers in Immunology and 14 papers in Molecular Biology. Recurrent topics in Jim Sun's work include Tuberculosis Research and Epidemiology (16 papers), Immune cells in cancer (5 papers) and Calcium signaling and nucleotide metabolism (5 papers). Jim Sun is often cited by papers focused on Tuberculosis Research and Epidemiology (16 papers), Immune cells in cancer (5 papers) and Calcium signaling and nucleotide metabolism (5 papers). Jim Sun collaborates with scholars based in Canada, United States and China. Jim Sun's co-authors include Zakaria Hmama, Yossef Av‐Gay, Horacio Bach, Dennis Wong, Michael Niederweis, Cecilia Bucci, Alexander Speer, Alice Lau, Norberto González-Juarbe and David Pajuelo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Jim Sun

32 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jim Sun 695 574 561 363 116 32 1.4k
Huixian Gan 785 1.1× 575 1.0× 427 0.8× 572 1.6× 53 0.5× 10 1.3k
Pascale Peyron 785 1.1× 629 1.1× 648 1.2× 323 0.9× 36 0.3× 15 1.6k
Pallavi Chandra 451 0.6× 503 0.9× 378 0.7× 258 0.7× 59 0.5× 16 1.0k
Alexandre Bobard 354 0.5× 409 0.7× 433 0.8× 411 1.1× 41 0.4× 14 1.2k
Sangeeta Tiwari 367 0.5× 434 0.8× 455 0.8× 525 1.4× 41 0.4× 43 1.4k
Danielle Desjardins 597 0.9× 431 0.8× 546 1.0× 458 1.3× 30 0.3× 20 1.5k
C.J. Cambier 763 1.1× 609 1.1× 293 0.5× 594 1.6× 31 0.3× 10 1.3k
Zakaria Hmama 1.1k 1.6× 919 1.6× 1.0k 1.8× 1000 2.8× 147 1.3× 39 2.6k
Alexander Speer 581 0.8× 441 0.8× 356 0.6× 100 0.3× 28 0.2× 31 992
Emilie Layre 558 0.8× 471 0.8× 537 1.0× 365 1.0× 15 0.1× 28 1.3k

Countries citing papers authored by Jim Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jim Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Sun. A scholar is included among the top collaborators of Jim Sun 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 Jim Sun. Jim Sun 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.
Sun, Zhiqi, Andréanne Lupien, Zhongliang Xu, et al.. (2024). Discovery of benzo[c]phenanthridine derivatives with potent activity against multidrug-resistant Mycobacterium tuberculosis. Microbiology Spectrum. 12(11). e0124624–e0124624. 1 indexed citations
2.
Yu, Zhipeng, Stefania Berton, Liping Liu, et al.. (2024). Small Molecule Targeting PPM1A Activates Autophagy for Mycobacterium tuberculosis Host-Directed Therapy. Journal of Medicinal Chemistry. 67(14). 11917–11936. 1 indexed citations
3.
Berton, Stefania, Michèle Geoffrion, Mary‐Ellen Harper, et al.. (2023). ATF2 orchestrates macrophage differentiation and activation to promote antibacterial responses. Journal of Leukocyte Biology. 114(3). 280–298. 7 indexed citations
4.
Moonen, Carolyn G. J., et al.. (2022). TREM2 Promotes Immune Evasion by Mycobacterium tuberculosis in Human Macrophages. mBio. 13(4). e0145622–e0145622. 26 indexed citations
5.
Berton, Stefania, et al.. (2022). A selective PPM1A inhibitor activates autophagy to restrict the survival of Mycobacterium tuberculosis. Cell chemical biology. 29(7). 1126–1139.e12. 15 indexed citations
6.
Alvarez, Gonzalo G., et al.. (2022). Surveying the Epigenetic Landscape of Tuberculosis in Alveolar Macrophages. Infection and Immunity. 90(5). e0052221–e0052221. 11 indexed citations
7.
Berton, Stefania, et al.. (2022). An in vivo biosafety-level-2-compatible model of Mycobacterium tuberculosis infection for drug susceptibility testing. STAR Protocols. 3(3). 101575–101575. 2 indexed citations
8.
Sun, Jim, et al.. (2021). Protein Kinase R in Bacterial Infections: Friend or Foe?. Frontiers in Immunology. 12. 702142–702142. 8 indexed citations
9.
Berton, Stefania, et al.. (2021). Protein Kinase R Restricts the Intracellular Survival of Mycobacterium tuberculosis by Promoting Selective Autophagy. Frontiers in Microbiology. 11. 613963–613963. 11 indexed citations
10.
Smythies, Lesley E., Robert Grabski, Li Mao, et al.. (2018). Cytomegalovirus promotes intestinal macrophage-mediated mucosal inflammation through induction of Smad7. Mucosal Immunology. 11(6). 1694–1704. 29 indexed citations
11.
Smith, S. Ray, et al.. (2018). The phosphatase PPM1A controls monocyte-to-macrophage differentiation. Scientific Reports. 8(1). 902–902. 29 indexed citations
12.
Pajuelo, David, Norberto González-Juarbe, Uday Tak, et al.. (2018). NAD+ Depletion Triggers Macrophage Necroptosis, a Cell Death Pathway Exploited by Mycobacterium tuberculosis. Cell Reports. 24(2). 429–440. 134 indexed citations
13.
Smith, S. Ray, Alexandra Duverger, Frederic H. Wagner, et al.. (2017). Mycobacterium tuberculosis exploits the PPM1A signaling pathway to block host macrophage apoptosis. Scientific Reports. 7(1). 42101–42101. 35 indexed citations
14.
Speer, Alexander, et al.. (2016). A Macrophage Infection Model to Predict Drug Efficacy Against Mycobacterium Tuberculosis. Assay and Drug Development Technologies. 14(6). 345–354. 16 indexed citations
15.
Sun, Jim, Axel Siroy, Ravi K. Lokareddy, et al.. (2015). The tuberculosis necrotizing toxin kills macrophages by hydrolyzing NAD. Nature Structural & Molecular Biology. 22(9). 672–678. 103 indexed citations
16.
Sun, Jim, Vijender Singh, Alice Lau, et al.. (2013). Mycobacterium tuberculosis Nucleoside Diphosphate Kinase Inactivates Small GTPases Leading to Evasion of Innate Immunity. PLoS Pathogens. 9(7). e1003499–e1003499. 92 indexed citations
17.
Sun, Jim, et al.. (2010). Mycobacterial Nucleoside Diphosphate Kinase Blocks Phagosome Maturation in Murine Raw 264.7 Macrophages. PLoS ONE. 5(1). e8769–e8769. 101 indexed citations
18.
Sun, Jim, Ala‐Eddine Deghmane, Cecilia Bucci, & Zakaria Hmama. (2009). Detection of Activated Rab7 GTPase with an Immobilized RILP Probe. Methods in molecular biology. 531. 57–69. 16 indexed citations
19.
Sun, Jim, et al.. (2009). A broad-range of recombination cloning vectors in mycobacteria. Plasmid. 62(3). 158–165. 11 indexed citations
20.
Soualhine, Hafid, Ala‐Eddine Deghmane, Jim Sun, et al.. (2007). Mycobacterium bovis Bacillus Calmette-Guerin Secreting Active Cathepsin S Stimulates Expression of Mature MHC Class II Molecules and Antigen Presentation in Human Macrophages. The Journal of Immunology. 179(8). 5137–5145. 44 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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