Leonard J. Lobo

1.6k total citations
28 papers, 681 citations indexed

About

Leonard J. Lobo is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Epidemiology. According to data from OpenAlex, Leonard J. Lobo has authored 28 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 12 papers in Surgery and 8 papers in Epidemiology. Recurrent topics in Leonard J. Lobo's work include Transplantation: Methods and Outcomes (10 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers) and Neonatal Respiratory Health Research (4 papers). Leonard J. Lobo is often cited by papers focused on Transplantation: Methods and Outcomes (10 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers) and Neonatal Respiratory Health Research (4 papers). Leonard J. Lobo collaborates with scholars based in United States, Indonesia and China. Leonard J. Lobo's co-authors include Peadar G. Noone, Robert M. Aris, John L. Schmitz, Isabel P. Neuringer, Richard G. Wunderink, Kurt D. Reed, Jhon Cores, Ke Cheng, Phuong‐Uyen Dinh and Thomas G. Caranasos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Nanotechnology and CHEST Journal.

In The Last Decade

Leonard J. Lobo

26 papers receiving 674 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonard J. Lobo United States 13 244 226 159 158 154 28 681
S.G. LaPlace United States 13 234 1.0× 196 0.9× 206 1.3× 78 0.5× 78 0.5× 20 551
Takuya Sadahira Japan 13 122 0.5× 174 0.8× 89 0.6× 148 0.9× 18 0.1× 88 540
Paolo Viganò Italy 18 146 0.6× 54 0.2× 139 0.9× 151 1.0× 156 1.0× 39 689
Paul‐Gerhardt Schlegel Germany 13 75 0.3× 84 0.4× 168 1.1× 152 1.0× 101 0.7× 36 771
Ramin Yaghobi Iran 18 147 0.6× 28 0.1× 332 2.1× 193 1.2× 176 1.1× 151 1.0k
Michaela Döring Germany 18 67 0.3× 64 0.3× 314 2.0× 181 1.1× 255 1.7× 60 954
Raymond C. Yu United Kingdom 14 233 1.0× 119 0.5× 242 1.5× 75 0.5× 155 1.0× 36 901
Fabienne Pouthier France 13 110 0.5× 24 0.1× 138 0.9× 34 0.2× 121 0.8× 36 512
Joshua Weiner United States 13 210 0.9× 30 0.1× 99 0.6× 92 0.6× 38 0.2× 46 777
Ashok Srinivasan United States 19 98 0.4× 142 0.6× 377 2.4× 105 0.7× 276 1.8× 69 1.3k

Countries citing papers authored by Leonard J. Lobo

Since Specialization
Citations

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

Fields of papers citing papers by Leonard J. Lobo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonard J. Lobo

This figure shows the co-authorship network connecting the top 25 collaborators of Leonard J. Lobo. A scholar is included among the top collaborators of Leonard J. Lobo 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 Leonard J. Lobo. Leonard J. Lobo 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.
Lobo, Leonard J., et al.. (2025). Impact of variation in CYP3A and CYP2C8 on tucatinib metabolic clearance in human liver microsomes. Drug Metabolism and Disposition. 53(5). 100061–100061. 1 indexed citations
2.
Summer, Ross, Jamie L. Todd, Megan L. Neely, et al.. (2024). Circulating metabolic profile in idiopathic pulmonary fibrosis: data from the IPF-PRO Registry. Respiratory Research. 25(1). 58–58. 15 indexed citations
3.
4.
Coakley, Raymond D., et al.. (2023). Impact of a bone health protocol on adult lung transplant recipients. SHILAP Revista de lepidopterología. 9(1). 100149–100149. 1 indexed citations
5.
Andrade, João A. de, Megan L. Neely, Anne S. Hellkamp, et al.. (2023). Effect of Antifibrotic Therapy on Survival in Patients With Idiopathic Pulmonary Fibrosis. Clinical Therapeutics. 45(4). 306–315. 16 indexed citations
6.
Doligalski, Christina T., et al.. (2022). Poor tolerability of cystic fibrosis transmembrane conductance regulator modulator therapy in lung transplant recipients. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 42(7). 580–584. 17 indexed citations
7.
Lobo, Leonard J., et al.. (2022). Pharmacotherapy of chronic lung allograft dysfunction post lung transplantation. Clinical Transplantation. 36(8). e14770–e14770. 1 indexed citations
8.
Li, Zhenhua, Zhenzhen Wang, Phuong‐Uyen Dinh, et al.. (2021). Cell-mimicking nanodecoys neutralize SARS-CoV-2 and mitigate lung injury in a non-human primate model of COVID-19. Nature Nanotechnology. 16(8). 942–951. 133 indexed citations
9.
10.
Cores, Jhon, et al.. (2020). A pre-investigational new drug study of lung spheroid cell therapy for treating pulmonary fibrosis. Stem Cells Translational Medicine. 9(7). 786–798. 19 indexed citations
11.
Doligalski, Christina T., et al.. (2020). IMPACT OF TRIKAFTA ON LUNG FUNCTION IN A CYSTIC FIBROSIS TRANSPLANT PATIENT. CHEST Journal. 158(4). A2378–A2378. 2 indexed citations
12.
Krishnan, Sheila, Chadi A. Hage, Raymond D. Coakley, David van Duin, & Leonard J. Lobo. (2019). Respiratory Viral Infections in Lung Transplant Recipients: Implications for Long Term Outcomes and Emerging Therapies. 3(2). 1–16. 3 indexed citations
13.
Cores, Jhon, Michael Taylor Hensley, Adam C. Vandergriff, et al.. (2017). Derivation of therapeutic lung spheroid cells from minimally invasive transbronchial pulmonary biopsies. Respiratory Research. 18(1). 132–132. 39 indexed citations
14.
15.
Cores, Jhon, Michael Taylor Hensley, Adam C. Vandergriff, et al.. (2015). Adult Lung Spheroid Cells Contain Progenitor Cells and Mediate Regeneration in Rodents With Bleomycin-Induced Pulmonary Fibrosis. Stem Cells Translational Medicine. 4(11). 1265–1274. 63 indexed citations
16.
Lobo, Leonard J., et al.. (2013). Lung transplant outcomes in cystic fibrosis patients with pre‐operative M ycobacterium abscessus respiratory infections. Clinical Transplantation. 27(4). 523–529. 70 indexed citations
17.
Lobo, Leonard J., John M. Reynolds, & Laurie D. Snyder. (2013). Rituximab-associated progressive multifocal leukoencephalopathy after lung transplantation. The Journal of Heart and Lung Transplantation. 32(7). 752–753. 6 indexed citations
18.
Lobo, Leonard J. & Peadar G. Noone. (2013). Respiratory infections in patients with cystic fibrosis undergoing lung transplantation. The Lancet Respiratory Medicine. 2(1). 73–82. 43 indexed citations
19.
Lobo, Leonard J., Robert M. Aris, John L. Schmitz, & Isabel P. Neuringer. (2012). Donor-specific antibodies are associated with antibody-mediated rejection, acute cellular rejection, bronchiolitis obliterans syndrome, and cystic fibrosis after lung transplantation. The Journal of Heart and Lung Transplantation. 32(1). 70–77. 127 indexed citations
20.
Lobo, Leonard J., Kurt D. Reed, & Richard G. Wunderink. (2010). Expanded Clinical Presentation of Community-Acquired Methicillin-Resistant Staphylococcus aureus Pneumonia. CHEST Journal. 138(1). 130–136. 51 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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