Pamela Shen

948 total citations
19 papers, 725 citations indexed

About

Pamela Shen is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Pamela Shen has authored 19 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Epidemiology. Recurrent topics in Pamela Shen's work include Asthma and respiratory diseases (9 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers) and Pediatric health and respiratory diseases (4 papers). Pamela Shen is often cited by papers focused on Asthma and respiratory diseases (9 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers) and Pediatric health and respiratory diseases (4 papers). Pamela Shen collaborates with scholars based in Canada, United States and Sweden. Pamela Shen's co-authors include Martin R. Stämpfli, Mathieu C. Morissette, Jake K. Nikota, Dawn M. E. Bowdish, Derek K. Chu, Alison A. Humbles, Roland Kolbeck, Rongchang Chen, Jonas S. Erjefält and Yang Gao and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and PLoS ONE.

In The Last Decade

Pamela Shen

19 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pamela Shen Canada 15 256 226 201 126 96 19 725
Sang‐Hoon Kim South Korea 19 267 1.0× 114 0.5× 199 1.0× 144 1.1× 50 0.5× 59 859
Fulya Tahan Türkiye 14 285 1.1× 137 0.6× 227 1.1× 65 0.5× 44 0.5× 38 659
Margareta Linden Sweden 19 549 2.1× 206 0.9× 395 2.0× 186 1.5× 115 1.2× 33 1.3k
Nurlan Dauletbaev Germany 20 183 0.7× 109 0.5× 356 1.8× 256 2.0× 37 0.4× 34 847
Daniela S. Bundschuh Germany 12 570 2.2× 322 1.4× 566 2.8× 326 2.6× 41 0.4× 15 1.2k
C.‐G. Löfdahl Sweden 18 525 2.1× 62 0.3× 529 2.6× 117 0.9× 57 0.6× 30 997
Ricardo Wesley Alberca Brazil 15 94 0.4× 113 0.5× 72 0.4× 112 0.9× 40 0.4× 43 687
Rongchang Chen China 18 205 0.8× 38 0.2× 577 2.9× 82 0.7× 33 0.3× 63 823
Mamunur Rashid United States 10 113 0.4× 141 0.6× 39 0.2× 377 3.0× 26 0.3× 14 846
Peter Y. Hahn United States 14 160 0.6× 81 0.4× 246 1.2× 77 0.6× 93 1.0× 35 739

Countries citing papers authored by Pamela Shen

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Shen

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

All Works

19 of 19 papers shown
1.
Zeng, Peter YF., Joshua F. E. Koenig, L. Patrick Schenck, et al.. (2021). Cigarette smoke exposure attenuates the induction of antigen-specific IgA in the murine upper respiratory tract. Mucosal Immunology. 14(5). 1067–1076. 7 indexed citations
2.
Shen, Pamela, et al.. (2018). Pneumococcal quorum sensing drives an asymmetric owner–intruder competitive strategy during carriage via the competence regulon. Nature Microbiology. 4(1). 198–208. 35 indexed citations
3.
Vanderstocken, Gilles, Anna Dvorkin‐Gheva, Pamela Shen, et al.. (2017). Identification of Drug Candidates to Suppress Cigarette Smoke–induced Inflammation via Connectivity Map Analyses. American Journal of Respiratory Cell and Molecular Biology. 58(6). 727–735. 15 indexed citations
4.
Shen, Pamela, Fiona Whelan, L. Patrick Schenck, et al.. (2017). Streptococcus pneumoniae Colonization Is Required To Alter the Nasal Microbiota in Cigarette Smoke-Exposed Mice. Infection and Immunity. 85(10). 11 indexed citations
5.
Morissette, Mathieu C., Yang Gao, Pamela Shen, et al.. (2016). Role of BAFF in pulmonary autoantibody responses induced by chronic cigarette smoke exposure in mice. Physiological Reports. 4(24). 23 indexed citations
6.
Shen, Pamela, et al.. (2016). Induction of pulmonary antibodies against oxidized lipids in mice exposed to cigarette smoke. Respiratory Research. 17(1). 97–97. 14 indexed citations
7.
Shen, Pamela, Mathieu C. Morissette, Gilles Vanderstocken, et al.. (2016). Cigarette Smoke Attenuates the Nasal Host Response to Streptococcus pneumoniae and Predisposes to Invasive Pneumococcal Disease in Mice. Infection and Immunity. 84(5). 1536–1547. 23 indexed citations
8.
Roos, Abraham B., Sanjay Sethi, Jake K. Nikota, et al.. (2015). IL-17A and the Promotion of Neutrophilia in Acute Exacerbation of Chronic Obstructive Pulmonary Disease. American Journal of Respiratory and Critical Care Medicine. 192(4). 428–437. 84 indexed citations
9.
Morissette, Mathieu C., et al.. (2015). Disruption of pulmonary lipid homeostasis drives cigarette smoke-induced lung inflammation in mice. European Respiratory Journal. 46(5). 1451–1460. 69 indexed citations
10.
Chu, Derek K., Amal Al‐Garawi, Alba Llop‐Guevara, et al.. (2015). Therapeutic potential of anti-IL-6 therapies for granulocytic airway inflammation in asthma. Allergy Asthma and Clinical Immunology. 11(1). 14–14. 65 indexed citations
11.
Gao, Yong‐hua, Furui Zhang, Yang Gao, et al.. (2015). The Relationship between Depression and Asthma: A Meta-Analysis of Prospective Studies. PLoS ONE. 10(7). e0132424–e0132424. 83 indexed citations
12.
Morissette, Mathieu C., et al.. (2014). Impacts of peroxisome proliferator-activated receptor-γ activation on cigarette smoke-induced exacerbated response to bacteria. European Respiratory Journal. 45(1). 191–200. 26 indexed citations
13.
Morissette, Mathieu C., Jake K. Nikota, Pamela Shen, et al.. (2014). Persistence of pulmonary tertiary lymphoid tissues and anti-nuclear antibodies following cessation of cigarette smoke exposure. Respiratory Research. 15(1). 49–49. 40 indexed citations
14.
Chu, Derek K., Rodrigo Jiménez‐Saiz, Chris P. Verschoor, et al.. (2014). Indigenous enteric eosinophils control DCs to initiate a primary Th2 immune response in vivo. The Journal of Experimental Medicine. 211(8). 1657–1672. 115 indexed citations
15.
Nikota, Jake K., Pamela Shen, Mathieu C. Morissette, et al.. (2014). Cigarette Smoke Primes the Pulmonary Environment to IL-1α/CXCR-2–Dependent Nontypeable Haemophilus influenzae–Exacerbated Neutrophilia in Mice. The Journal of Immunology. 193(6). 3134–3145. 34 indexed citations
16.
Caron, Marc‐André, Mathieu C. Morissette, Jake K. Nikota, et al.. (2011). Altered Skeletal Muscle Homeostasis In A Pre-Clinical Model Of Cigarette Smoke Exposure. A2529–A2529. 2 indexed citations
18.
Wilson, Sylvia M., Pamela Shen, Christopher F. Rider, et al.. (2009). Selective Prostacyclin Receptor Agonism Augments Glucocorticoid-Induced Gene Expression in Human Bronchial Epithelial Cells. The Journal of Immunology. 183(10). 6788–6799. 32 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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