Gauri Saini

2.6k total citations
20 papers, 691 citations indexed

About

Gauri Saini is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Gauri Saini has authored 20 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 5 papers in Physiology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Gauri Saini's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (14 papers), Occupational and environmental lung diseases (6 papers) and Occupational exposure and asthma (4 papers). Gauri Saini is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (14 papers), Occupational and environmental lung diseases (6 papers) and Occupational exposure and asthma (4 papers). Gauri Saini collaborates with scholars based in United Kingdom, United States and Sweden. Gauri Saini's co-authors include Gísli Jenkins, William R. Coward, Tricia M. McKeever, Rebecca Braybrooke, Philip L. Molyneaux, Toby M. Maher, Richard P. Marshall, Juliet K. Simpson, Joanne Porte and Pauline T. Lukey and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and European Respiratory Journal.

In The Last Decade

Gauri Saini

17 papers receiving 685 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gauri Saini United Kingdom 8 532 146 128 71 53 20 691
Nozomi Iwanaga Japan 12 143 0.3× 158 1.1× 128 1.0× 29 0.4× 73 1.4× 47 611
R L Mortenson United States 7 301 0.6× 71 0.5× 174 1.4× 25 0.4× 79 1.5× 9 507
P. Moerman Belgium 13 211 0.4× 131 0.9× 44 0.3× 18 0.3× 68 1.3× 27 563
Fernanda Gutierrez‐Rodrigues United States 13 66 0.1× 194 1.3× 207 1.6× 43 0.6× 58 1.1× 44 708
Gudrun Reynisdottir Sweden 6 237 0.4× 66 0.5× 98 0.8× 24 0.3× 36 0.7× 12 563
Marzio Gabrielli Italy 12 123 0.2× 86 0.6× 133 1.0× 16 0.2× 105 2.0× 13 438
Viorel Vasiliu France 12 170 0.3× 229 1.6× 67 0.5× 10 0.1× 84 1.6× 23 414
Barbara Burroni France 9 109 0.2× 77 0.5× 77 0.6× 21 0.3× 224 4.2× 37 447
Julie Schanz Germany 11 73 0.1× 235 1.6× 39 0.3× 127 1.8× 87 1.6× 46 916
Maxine L. Crook Australia 17 93 0.2× 211 1.4× 48 0.4× 21 0.3× 136 2.6× 35 613

Countries citing papers authored by Gauri Saini

Since Specialization
Citations

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

Fields of papers citing papers by Gauri Saini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gauri Saini

This figure shows the co-authorship network connecting the top 25 collaborators of Gauri Saini. A scholar is included among the top collaborators of Gauri Saini 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 Gauri Saini. Gauri Saini 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.
Sedehizadeh, Saam, et al.. (2025). Expanding the clinical spectrum of NHP2-related dyskeratosis congenita: a case with novel phenotypic features. Clinical Dysmorphology. 34(3). 83–87.
2.
Thillai, Muhunthan, Justin M. Oldham, Alessandro Ruggiero, et al.. (2024). Deep Learning–based Segmentation of Computed Tomography Scans Predicts Disease Progression and Mortality in Idiopathic Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 210(4). 465–472. 18 indexed citations
3.
Thillai, Muhunthan, Alessandro Ruggiero, Fahdi Kanavati, et al.. (2024). Deep Learning-based Segmentation of CT Scans Predicts Disease Progression and Mortality in IPF. A5102–A5102.
4.
5.
Saunders, Peter, Zhe Wu, William A. Fahy, et al.. (2023). The Burden and Impact of Cough in Patients with Idiopathic Pulmonary Fibrosis: An Analysis of the Prospective Observational PROFILE Study. Annals of the American Thoracic Society. 20(9). 1267–1273. 15 indexed citations
6.
Chioccioli, Maurizio, Subhadeep Roy, Linda Pestano, et al.. (2022). A lung targeted miR-29 mimic as a therapy for pulmonary fibrosis. EBioMedicine. 85. 104304–104304. 76 indexed citations
7.
8.
Snape, S., et al.. (2021). Images of the month: The conundrum of chronic coccidioidomycosis. Clinical Medicine. 21(1). e110–e111. 1 indexed citations
9.
Khan, Fasihul, Iain Stewart, Gauri Saini, Karen A. Robinson, & Gísli Jenkins. (2021). A systematic review of blood biomarkers with individual participant data meta-analysis of matrix metalloproteinase-7 in idiopathic pulmonary fibrosis. European Respiratory Journal. 59(4). 2101612–2101612. 29 indexed citations
10.
Khan, Fasihul, Iain Stewart, Gauri Saini, Karen A. Robinson, & Gísli Jenkins. (2021). A systematic review and individual participant data meta-analysis of MMP-7 and outcomes in idiopathic pulmonary fibrosis. PA395–PA395. 1 indexed citations
11.
Stewart, Iain, Tricia M. McKeever, Rebecca Braybrooke, et al.. (2019). Patient-reported distress can aid clinical decision-making in idiopathic pulmonary fibrosis: analysis of the PROFILE cohort. European Respiratory Journal. 53(5). 1801925–1801925. 4 indexed citations
12.
13.
Tatler, Amanda L., Amanda Goodwin, Olumide B. Gbolahan, et al.. (2016). Amplification of TGFβ Induced ITGB6 Gene Transcription May Promote Pulmonary Fibrosis. PLoS ONE. 11(8). e0158047–e0158047. 33 indexed citations
14.
Forster, Sarah, Susan M. Smith, Priya Daniel, et al.. (2016). Optimising prescription and titration of oxygen for adult inpatients using novel silicone wristbands: results of a pilot project at three centres. Clinical Medicine. 16(4). 330–334. 2 indexed citations
15.
Jenkins, Gísli, Juliet K. Simpson, Gauri Saini, et al.. (2015). Longitudinal change in collagen degradation biomarkers in idiopathic pulmonary fibrosis: an analysis from the prospective, multicentre PROFILE study. The Lancet Respiratory Medicine. 3(6). 462–472. 198 indexed citations
16.
Saini, Gauri, Joanne Porte, Paul H. Weinreb, et al.. (2015). αvβ6 integrin may be a potential prognostic biomarker in interstitial lung disease. European Respiratory Journal. 46(2). 486–494. 72 indexed citations
17.
18.
Saini, Gauri, Gísli Jenkins, Tricia M. McKeever, et al.. (2012). The PROFILE Study: A Prospective Study Of Fibrosis In Lung Endpoints To Discover And Qualify Biomarkers For Use In Clinical Trials. A5169–A5169. 4 indexed citations
19.
Hodgson, David, Gauri Saini, Charlotte E. Bolton, & Michael Steiner. (2011). Thorax in focus: chronic obstructive pulmonary disease. Thorax. 67(2). 171–176. 5 indexed citations
20.
Coward, William R., Gauri Saini, & Gísli Jenkins. (2010). The pathogenesis of idiopathic pulmonary fibrosis. Therapeutic Advances in Respiratory Disease. 4(6). 367–388. 225 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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