J. J. Lee

1.3k total citations
18 papers, 1.0k citations indexed

About

J. J. Lee is a scholar working on Physiology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, J. J. Lee has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 8 papers in Surgery and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in J. J. Lee's work include Asthma and respiratory diseases (16 papers), Eosinophilic Esophagitis (6 papers) and Respiratory and Cough-Related Research (5 papers). J. J. Lee is often cited by papers focused on Asthma and respiratory diseases (16 papers), Eosinophilic Esophagitis (6 papers) and Respiratory and Cough-Related Research (5 papers). J. J. Lee collaborates with scholars based in United States, Canada and Netherlands. J. J. Lee's co-authors include N. A. Lee, Elizabeth A. Jacobsen, Michael P. McGarry, R.P. Schleimer, Erwin W. Gelfand, Katsuyuki Takeda, Charles G. Irvin, Angela Haczku, Amy D. Klion and Peter F. Weller and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, Allergy and American Journal of Physiology-Lung Cellular and Molecular Physiology.

In The Last Decade

J. J. Lee

18 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. J. Lee United States 15 625 476 301 235 208 18 1.0k
Gerald J. Gleich United States 9 373 0.6× 213 0.4× 190 0.6× 148 0.6× 207 1.0× 10 820
Dana Colbert United States 14 1.1k 1.7× 878 1.8× 488 1.6× 285 1.2× 339 1.6× 19 1.7k
R.P. Schleimer United States 13 641 1.0× 367 0.8× 309 1.0× 206 0.9× 163 0.8× 41 1.3k
Florence Roan United States 11 441 0.7× 495 1.0× 215 0.7× 101 0.4× 89 0.4× 12 1.1k
Helena Aegerter Belgium 7 229 0.4× 471 1.0× 108 0.4× 250 1.1× 52 0.3× 12 899
Ulrich M. Zissler Germany 19 565 0.9× 364 0.8× 89 0.3× 357 1.5× 27 0.1× 41 1.1k
Michaela Schedel United States 18 607 1.0× 616 1.3× 120 0.4× 196 0.8× 45 0.2× 35 1.1k
Jamel Ammar Tunisia 15 380 0.6× 318 0.7× 172 0.6× 161 0.7× 40 0.2× 60 796
G J Gleich United States 12 945 1.5× 435 0.9× 234 0.8× 385 1.6× 400 1.9× 24 1.5k
Annette Balhorn United States 20 684 1.1× 515 1.1× 102 0.3× 408 1.7× 40 0.2× 21 1.2k

Countries citing papers authored by J. J. Lee

Since Specialization
Citations

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

Fields of papers citing papers by J. J. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. J. Lee

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

All Works

18 of 18 papers shown
1.
McNamee, Eóin N., Kathryn A. Biette, J. W. Hammer, et al.. (2016). Targeting granulocyte‐macrophage colony‐stimulating factor in epithelial and vascular remodeling in experimental eosinophilic esophagitis. Allergy. 72(8). 1232–1242. 12 indexed citations
2.
Rank, Matthew A., Sergei I. Ochkur, J. C. Lewis, et al.. (2015). Nasal and pharyngeal eosinophil peroxidase levels in adults with poorly controlled asthma correlate with sputum eosinophilia. Allergy. 71(4). 567–570. 32 indexed citations
3.
Jacobsen, Elizabeth A., Alfred D. Doyle, Dana Colbert, et al.. (2015). Differential activation of airway eosinophils inducesIL‐13‐mediated allergic Th2 pulmonary responses in mice. Allergy. 70(9). 1148–1159. 48 indexed citations
4.
Jacobsen, Elizabeth A., N. A. Lee, & J. J. Lee. (2014). Re‐defining the unique roles for eosinophils in allergic respiratory inflammation. Clinical & Experimental Allergy. 44(9). 1119–1136. 57 indexed citations
5.
Jacobsen, Elizabeth A., William E. LeSuer, Lian Willetts, et al.. (2013). Eosinophil activities modulate the immune/inflammatory character of allergic respiratory responses in mice. Allergy. 69(3). 315–327. 53 indexed citations
6.
Gleich, Gerald J., Amy D. Klion, J. J. Lee, & Peter F. Weller. (2013). The consequences of not having eosinophils. Allergy. 68(7). 829–835. 95 indexed citations
7.
Kliman, Harvey J., Marei Sammar, Susanna K. Lynch, et al.. (2011). Placental Protein 13 and Decidual Zones of Necrosis: An Immunologic Diversion That May be Linked to Preeclampsia. Reproductive Sciences. 19(1). 16–30. 69 indexed citations
8.
Weng, Meiqian, David M. Baron, Kenneth D. Bloch, et al.. (2011). Eosinophils are necessary for pulmonary arterial remodeling in a mouse model of eosinophilic inflammation-induced pulmonary hypertension. American Journal of Physiology-Lung Cellular and Molecular Physiology. 301(6). L927–L936. 37 indexed citations
9.
Timens, Wim, A. Dijkstra, N. A. Lee, et al.. (2010). Airway eosinophilia in remission and progression of asthma: Accumulation with a fast decline of FEV1. Respiratory Medicine. 104(9). 1254–1262. 60 indexed citations
10.
Lee, J. J., Elizabeth A. Jacobsen, Michael P. McGarry, R.P. Schleimer, & N. A. Lee. (2010). Eosinophils in health and disease: the LIAR hypothesis. Clinical & Experimental Allergy. 40(4). 563–575. 246 indexed citations
11.
12.
Lee, J. J., et al.. (2005). Eosinophil degranulation: an evolutionary vestige or a universally destructive effector function?. Clinical & Experimental Allergy. 35(8). 986–994. 78 indexed citations
13.
Ochkur, Sergei I., Michael P. McGarry, K.R. O'Neill, et al.. (2004). CD69 expression on eosinophils is a marker of activation in the lung following allergen provocation. Journal of Allergy and Clinical Immunology. 113(2). S188–S188. 1 indexed citations
14.
Justice, J. Paul, et al.. (2002). CD4+T cell-dependent airway mucus production occurs in response to IL-5 expression in lung. American Journal of Physiology-Lung Cellular and Molecular Physiology. 282(5). L1066–L1074. 41 indexed citations
15.
Takeda, Katsuyuki, Angela Haczku, J. J. Lee, Charles G. Irvin, & Erwin W. Gelfand. (2001). Strain dependence of airway hyperresponsiveness reflects differences in eosinophil localization in the lung. American Journal of Physiology-Lung Cellular and Molecular Physiology. 281(2). L394–L402. 126 indexed citations
16.
Borchers, Michael T., et al.. (2001). Intrinsic AHR in IL-5 transgenic mice is dependent on CD4+cells and CD49d-mediated signaling. American Journal of Physiology-Lung Cellular and Molecular Physiology. 281(3). L653–L659. 15 indexed citations
17.
Borchers, Michael T., Jeffrey R. Crosby, Steven C. Farmer, et al.. (2001). Blockade of CD49d inhibits allergic airway pathologies independent of effects on leukocyte recruitment. American Journal of Physiology-Lung Cellular and Molecular Physiology. 280(4). L813–L821. 41 indexed citations
18.
Denzler, Karen L., Wendy J. Levin, Polly A. Quiram, N. A. Lee, & J. J. Lee. (1997). The murine eosinophil major basic protein gene (Prg2) maps to chromosome 2. Mammalian Genome. 8(5). 382–383. 3 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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