Jeffrey E. Gotts

6.3k total citations · 3 hit papers
34 papers, 3.0k citations indexed

About

Jeffrey E. Gotts is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Epidemiology. According to data from OpenAlex, Jeffrey E. Gotts has authored 34 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 9 papers in Physiology and 7 papers in Epidemiology. Recurrent topics in Jeffrey E. Gotts's work include Neonatal Respiratory Health Research (11 papers), Respiratory Support and Mechanisms (9 papers) and Smoking Behavior and Cessation (9 papers). Jeffrey E. Gotts is often cited by papers focused on Neonatal Respiratory Health Research (11 papers), Respiratory Support and Mechanisms (9 papers) and Smoking Behavior and Cessation (9 papers). Jeffrey E. Gotts collaborates with scholars based in United States, Japan and France. Jeffrey E. Gotts's co-authors include Michael A. Matthay, Rob McConnell, Robert Tarran, Sven‐Eric Jordt, Timothy Schallert, Carolyn S. Calfee, Lauren Chun, Farzad Moazed, Victor M. Tan and Ying Xi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Jeffrey E. Gotts

32 papers receiving 3.0k citations

Hit Papers

Sepsis: pathophysiology and clinical management 2014 2026 2018 2022 2016 2014 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey E. Gotts United States 18 925 651 640 578 443 34 3.0k
Yuki Yoshida Japan 30 702 0.8× 592 0.9× 943 1.5× 420 0.7× 583 1.3× 124 3.5k
Tsuyomu Ikenoue Japan 33 739 0.8× 379 0.6× 470 0.7× 149 0.3× 267 0.6× 218 3.4k
Yoshitsugu Yamada Japan 27 864 0.9× 646 1.0× 324 0.5× 386 0.7× 789 1.8× 167 3.1k
Fei Gao China 33 402 0.4× 833 1.3× 453 0.7× 188 0.3× 462 1.0× 181 3.7k
Hasan Özkan Türkiye 30 806 0.9× 439 0.7× 361 0.6× 243 0.4× 260 0.6× 132 2.6k
Qulian Guo China 26 426 0.5× 337 0.5× 345 0.5× 251 0.4× 464 1.0× 133 2.4k
Subrina Jesmin Japan 31 294 0.3× 671 1.0× 406 0.6× 566 1.0× 247 0.6× 148 2.8k
Andrew C. Bernard United States 25 501 0.5× 326 0.5× 185 0.3× 750 1.3× 977 2.2× 132 3.2k
Afshin Borhani‐Haghighi Iran 29 396 0.4× 367 0.6× 439 0.7× 251 0.4× 229 0.5× 213 3.1k
Giuseppe Ristagno Italy 31 501 0.5× 547 0.8× 505 0.8× 223 0.4× 719 1.6× 193 4.2k

Countries citing papers authored by Jeffrey E. Gotts

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey E. Gotts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey E. Gotts. 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 Jeffrey E. Gotts. The network helps show where Jeffrey E. Gotts may publish in the future.

Co-authorship network of co-authors of Jeffrey E. Gotts

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey E. Gotts. A scholar is included among the top collaborators of Jeffrey E. Gotts 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 Jeffrey E. Gotts. Jeffrey E. Gotts 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.
Arias-Badia, Marcel, Chien-Chun Steven Pai, Peixi Chen, et al.. (2024). E-cigarette exposure disrupts antitumor immunity and promotes metastasis. Frontiers in Immunology. 15. 1444020–1444020. 3 indexed citations
2.
Wick, Katherine D., Aartik Sarma, Shotaro Matsumoto, et al.. (2024). Biological effects of corticosteroids on pneumococcal pneumonia in Mice—translational significance. Critical Care. 28(1). 185–185. 2 indexed citations
3.
Fang, Xiaohui, Mazharul Maishan, Alpa Trivedi, et al.. (2024). Neutrophil reduction attenuates the severity of lung injury in the early phase of pneumococcal pneumonia in mice. American Journal of Physiology-Lung Cellular and Molecular Physiology. 327(2). L141–L149. 4 indexed citations
4.
Maishan, Mazharul, Aartik Sarma, Lauren Chun, et al.. (2023). Aerosolized nicotine from e-cigarettes alters gene expression, increases lung protein permeability, and impairs viral clearance in murine influenza infection. Frontiers in Immunology. 14. 1076772–1076772. 2 indexed citations
6.
Matsumoto, Shotaro, Xiaohui Fang, Maret G. Traber, et al.. (2020). Dose-Dependent Pulmonary Toxicity of Aerosolized Vitamin E Acetate. American Journal of Respiratory Cell and Molecular Biology. 63(6). 748–757. 48 indexed citations
7.
Gotts, Jeffrey E., Lauren Chun, Xiaohui Fang, et al.. (2020). Nicotine-Containing E-cigarette Aerosol Increases Influenza-Induced Lung Protein Permeability and Impairs Viral Clearance in Mice. A2769–A2769. 1 indexed citations
8.
Moazed, Farzad, Lauren Chun, Michael A. Matthay, Carolyn S. Calfee, & Jeffrey E. Gotts. (2018). Assessment of industry data on pulmonary and immunosuppressive effects of IQOS. Tobacco Control. 27(Suppl 1). s20–s25. 56 indexed citations
9.
Chun, Lauren, Farzad Moazed, Carolyn S. Calfee, Michael A. Matthay, & Jeffrey E. Gotts. (2017). Pulmonary toxicity of e-cigarettes. American Journal of Physiology-Lung Cellular and Molecular Physiology. 313(2). L193–L206. 218 indexed citations
10.
Xi, Ying, Thomas Kim, Alexis N. Brumwell, et al.. (2017). Local lung hypoxia determines epithelial fate decisions during alveolar regeneration. Nature Cell Biology. 19(8). 904–914. 180 indexed citations
11.
Gotts, Jeffrey E. & Michael A. Matthay. (2016). Sepsis: pathophysiology and clinical management. BMJ. 353. i1585–i1585. 825 indexed citations breakdown →
12.
Gotts, Jeffrey E. & Michael A. Matthay. (2014). Endogenous and Exogenous Cell-Based Pathways for Recovery from Acute Respiratory Distress Syndrome. Clinics in Chest Medicine. 35(4). 797–809. 5 indexed citations
13.
Vaughan, Andrew E., Alexis N. Brumwell, Ying Xi, et al.. (2014). Lineage-negative progenitors mobilize to regenerate lung epithelium after major injury. Nature. 517(7536). 621–625. 455 indexed citations breakdown →
15.
Gotts, Jeffrey E., Jason Abbott, & Michael A. Matthay. (2014). Influenza causes prolonged disruption of the alveolar-capillary barrier in mice unresponsive to mesenchymal stem cell therapy. American Journal of Physiology-Lung Cellular and Molecular Physiology. 307(5). L395–L406. 71 indexed citations
16.
Gotts, Jeffrey E. & Michael A. Matthay. (2011). Mesenchymal Stem Cells and Acute Lung Injury. Critical Care Clinics. 27(3). 719–733. 67 indexed citations
17.
Gotts, Jeffrey E., et al.. (2005). Migration and fate of newly born cells after focal cortical ischemia in adult rats. Journal of Neuroscience Research. 80(2). 160–171. 54 indexed citations
18.
Gotts, Jeffrey E. & Marie‐Françoise Chesselet. (2005). Vascular changes in the subventricular zone after distal cortical lesions. Experimental Neurology. 194(1). 139–150. 39 indexed citations
19.
Gotts, Jeffrey E. & Marie‐Françoise Chesselet. (2005). Mechanisms of subventricular zone expansion after focal cortical ischemic injury. The Journal of Comparative Neurology. 488(2). 201–214. 33 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026