Jose J. Limon

2.6k total citations · 2 hit papers
19 papers, 1.8k citations indexed

About

Jose J. Limon is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Jose J. Limon has authored 19 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Immunology and 5 papers in Epidemiology. Recurrent topics in Jose J. Limon's work include PI3K/AKT/mTOR signaling in cancer (6 papers), Antifungal resistance and susceptibility (4 papers) and Dermatology and Skin Diseases (3 papers). Jose J. Limon is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (6 papers), Antifungal resistance and susceptibility (4 papers) and Dermatology and Skin Diseases (3 papers). Jose J. Limon collaborates with scholars based in United States, Croatia and Norway. Jose J. Limon's co-authors include David M. Underhill, Joseph H. Skalski, Matthew L. Wheeler, Matthew Gargus, Jie Tang, Iliyan D. Iliev, Jordan Brown, Timothy R. Crother, Christopher Nguyen and Purnima Sharma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Immunology.

In The Last Decade

Jose J. Limon

19 papers receiving 1.8k 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.

Immunological Consequences of Intestinal Fungal Dysbiosis

2016 314 citations Matthew L. Wheeler, Jose J. Limon et al. Cell Host & Microbe profile →
Malassezia Is Associated with Crohn’s Disease and Exacerbates Colitis in Mouse Models

2019 311 citations Jose J. Limon, Jie Tang et al. Cell Host & Microbe profile →

Peers

Jose J. Limon

IMMUN

EPIDE

Mats Bemark Sweden

Anuradha Chakraborti India

Ulf Meyer‐Hoffert Germany

William Ruff United States

Yuumi Nakamura Japan

Séverine Navarro Australia

Michael L. Pendrak United States

Claude Darcha France

Susan Searle United Kingdom

Alice Y. Zhou United States

Mats Bemark Sweden

Jose J. Limon

1.3k ×1.1

506 ×1.0

1.3k ×3.6

IMMUN

282 ×0.9

EPIDE

154 ×0.9

Citations per year, relative to Jose J. Limon Jose J. Limon (= 1×) peers Mats Bemark

Countries citing papers authored by Jose J. Limon

Since Specialization

Citations

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

Fields of papers citing papers by Jose J. Limon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jose J. Limon

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

19 of 19 papers shown

Wolf, Andrea J., et al.. (2020). Malassezia spp. induce inflammatory cytokines and activate NLRP3 inflammasomes in phagocytes. Journal of Leukocyte Biology. 109(1). 161–172. 28 indexed citations

Caldera, J.R., Christopher Nguyen, Purnima Sharma, et al.. (2020). Harnessing antifungal immunity in pursuit of a Staphylococcus aureus vaccine strategy. PLoS Pathogens. 16(8). e1008733–e1008733. 16 indexed citations

Limon, Jose J., Jie Tang, Dalin Li, et al.. (2019). Malassezia Is Associated with Crohn’s Disease and Exacerbates Colitis in Mouse Models. Cell Host & Microbe. 25(3). 377–388.e6. 311 indexed citations breakdown →

Skalski, Joseph H., Jose J. Limon, Purnima Sharma, et al.. (2018). Expansion of commensal fungus Wallemia mellicola in the gastrointestinal mycobiota enhances the severity of allergic airway disease in mice. PLoS Pathogens. 14(9). e1007260–e1007260. 74 indexed citations

Limon, Jose J., Kathleen M. Kershaw, & David M. Underhill. (2018). Mucosal immune responses to fungi and the implications for inflammatory bowel disease. Current Opinion in Gastroenterology. 34(6). 398–403. 6 indexed citations

Kaplan, Amber, Michelle W. Lee, Andrea J. Wolf, et al.. (2017). Direct Antimicrobial Activity of IFN-β. The Journal of Immunology. 198(10). 4036–4045. 49 indexed citations

Limon, Jose J., Joseph H. Skalski, & David M. Underhill. (2017). Commensal Fungi in Health and Disease. Cell Host & Microbe. 22(2). 156–165. 231 indexed citations

Comella, Kristin, et al.. (2017). Autologous Stromal Vascular Fraction in the Intravenous Treatment of End-Stage Chronic Obstructive Pulmonary Disease: A Phase I Trial of Safety and Tolerability. Journal of Clinical Medicine Research. 9(8). 701–708. 17 indexed citations

Wheeler, Matthew L., Jose J. Limon, & David M. Underhill. (2017). Immunity to Commensal Fungi: Detente and Disease. Annual Review of Pathology Mechanisms of Disease. 12(1). 359–385. 91 indexed citations

10.

Wheeler, Matthew L., Jose J. Limon, Christian Leal, et al.. (2016). Immunological Consequences of Intestinal Fungal Dysbiosis. Cell Host & Microbe. 19(6). 865–873. 314 indexed citations breakdown →

11.

Limon, Jose J., Lomon So, Stefan Jellbauer, et al.. (2014). mTOR kinase inhibitors promote antibody class switching via mTORC2 inhibition. Proceedings of the National Academy of Sciences. 111(47). E5076–85. 52 indexed citations

12.

Patel, Amit N., Thomas E. Ichim, Kristin Comella, et al.. (2014). Autologous Adipose-derived Stromal Stem Cell Implantation to Resolve Critical Limb Ischemia: Case Report. Cureus. 5 indexed citations

13.

Limon, Jose J., et al.. (2012). Akt and mTOR in B Cell Activation and Differentiation. Frontiers in Immunology. 3. 228–228. 160 indexed citations

14.

Janes, Matthew R., Sharmila Mallya, Jose J. Limon, et al.. (2012). Efficacy of the investigational mTOR kinase inhibitor MLN0128/INK128 in models of B-cell acute lymphoblastic leukemia. Leukemia. 27(3). 586–594. 85 indexed citations

15.

Michalek, Ryan D., Brian M. Weist, Ryan H. Newton, et al.. (2011). Control of T cell metabolism and regulatory T cell generation by a DRAK2/p70S6K1 signaling axis (113.19). The Journal of Immunology. 186(1_Supplement). 113.19–113.19. 2 indexed citations

16.

Janes, Matthew R., Jose J. Limon, Lomon So, et al.. (2010). Effective and selective targeting of leukemia cells using a TORC1/2 kinase inhibitor. Nature Medicine. 16(2). 205–213. 276 indexed citations

17.

Chen, Jing, et al.. (2010). Foxo1 regulates marginal zone B‐cell development. European Journal of Immunology. 40(7). 1890–1896. 38 indexed citations

18.

Limon, Jose J., et al.. (2010). B Cell Receptor Signaling: Picky About PI3Ks. Science Signaling. 3(134). pe25–pe25. 10 indexed citations

19.

Bernard, Jeffrey R., et al.. (2005). Insulin‐stimulated plasma membrane association and activation of Akt2, aPKC ζ and aPKC λ in high fat fed rodent skeletal muscle. The Journal of Physiology. 565(2). 627–636. 12 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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