Sumit Gupta

4.1k total citations · 1 hit paper
58 papers, 2.5k citations indexed

About

Sumit Gupta is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Surgery. According to data from OpenAlex, Sumit Gupta has authored 58 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Pulmonary and Respiratory Medicine, 24 papers in Physiology and 16 papers in Surgery. Recurrent topics in Sumit Gupta's work include Asthma and respiratory diseases (23 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (14 papers) and Respiratory and Cough-Related Research (10 papers). Sumit Gupta is often cited by papers focused on Asthma and respiratory diseases (23 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (14 papers) and Respiratory and Cough-Related Research (10 papers). Sumit Gupta collaborates with scholars based in United Kingdom, United States and New Zealand. Sumit Gupta's co-authors include Christopher E. Brightling, Ian Pavord, Pranabashis Haldar, Andrew J. Wardlaw, Peter Bradding, Ruth H. Green, Richard P. Marshall, Ana R. Sousa, William Monteiro and Beverley Hargadon and has published in prestigious journals such as New England Journal of Medicine, Circulation and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Sumit Gupta

54 papers receiving 2.5k citations

Hit Papers

Mepolizumab and Exacerbations of Refractory Eosinophilic ... 2009 2026 2014 2020 2009 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sumit Gupta United Kingdom 18 1.9k 1.5k 535 445 336 58 2.5k
Magnus Aurivillius Sweden 17 2.5k 1.4× 2.3k 1.5× 553 1.0× 546 1.2× 538 1.6× 57 3.3k
Giuseppina Bertorelli Italy 22 1.3k 0.7× 1.3k 0.8× 359 0.7× 155 0.3× 247 0.7× 69 1.9k
Steven D. Shapiro United States 18 393 0.2× 1.1k 0.7× 385 0.7× 206 0.5× 138 0.4× 39 2.3k
Kim Hung Lo United States 20 1.3k 0.7× 1.1k 0.7× 708 1.3× 276 0.6× 85 0.3× 54 3.1k
Gilles Garcia France 23 785 0.4× 2.2k 1.5× 191 0.4× 317 0.7× 273 0.8× 67 2.8k
Marcella Ruddy United States 22 901 0.5× 424 0.3× 366 0.7× 286 0.6× 548 1.6× 54 1.6k
J.-W.J. Lammers Netherlands 25 359 0.2× 864 0.6× 227 0.4× 169 0.4× 213 0.6× 45 1.6k
Kojiro Otsuka Japan 28 662 0.4× 1.4k 0.9× 132 0.2× 184 0.4× 118 0.4× 81 1.9k
Praveen Akuthota United States 22 725 0.4× 817 0.5× 462 0.9× 511 1.1× 174 0.5× 66 1.9k
Elisabetta Balestro Italy 23 421 0.2× 1.2k 0.8× 289 0.5× 147 0.3× 32 0.1× 99 2.0k

Countries citing papers authored by Sumit Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumit Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Sumit Gupta. A scholar is included among the top collaborators of Sumit Gupta 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 Sumit Gupta. Sumit Gupta 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.
Gupta, Sumit, et al.. (2024). Under pressure: a head-to-toe review of vascular compression syndromes. Clinical Radiology. 79(10). 722–735.
2.
Abd‐Elrahman, Khaled S., Arthur Shiyovich, Daniel Huck, et al.. (2024). Artificial Intelligence in Coronary Artery Calcium Scoring Detection and Quantification. Diagnostics. 14(2). 125–125. 21 indexed citations
5.
Takigami, A., Vikas Thondapu, Reece Goiffon, et al.. (2021). Coronary Artery Disease Reporting and Data System (CAD-RADS) Adoption: Analysis of Local Trends in a Large Academic Medical Center. Radiology Cardiothoracic Imaging. 3(3). e210016–e210016. 1 indexed citations
6.
Gupta, Sumit, Yin Ge, Amitoj Singh, Christoph Gräni, & Raymond Y. Kwong. (2021). Multimodality Imaging Assessment of Myocardial Fibrosis. JACC. Cardiovascular imaging. 14(12). 2457–2469. 44 indexed citations
7.
Gupta, Sumit, Francine L. Jacobson, Chung Yin Kong, & Mark M. Hammer. (2020). Performance of Lung Nodule Management Algorithms for Lung-RADS Category 4 Lesions. Academic Radiology. 28(8). 1037–1042. 8 indexed citations
8.
Aghayev, Ayaz, Sumit Gupta, Borna E. Dabiri, & Michael L. Steigner. (2019). Vascular imaging in renal donors. Cardiovascular Diagnosis and Therapy. 9(S1). S116–S130. 11 indexed citations
9.
Berair, Rachid, Ruth Hartley, Vijay Mistry, et al.. (2017). Associations in asthma between quantitative computed tomography and bronchial biopsy-derived airway remodelling. European Respiratory Journal. 49(5). 1601507–1601507. 31 indexed citations
10.
Hartley, Ruth, Bethan L. Barker, Chris Newby, et al.. (2016). Relationship between lung function and quantitative computed tomographic parameters of airway remodeling, air trapping, and emphysema in patients with asthma and chronic obstructive pulmonary disease: A single-center study. Journal of Allergy and Clinical Immunology. 137(5). 1413–1422.e12. 78 indexed citations
11.
Sutcliffe, Amanda, Davinder Kaur, Sumit Gupta, et al.. (2014). CCL2 release by airway smooth muscle is increased in asthma and promotes fibrocyte migration. European Respiratory Journal. 44(Suppl 58). P3848–P3848. 8 indexed citations
12.
Gupta, Sumit & Arumugam Rajesh. (2014). Magnetic Resonance Imaging of Penile Cancer. Magnetic Resonance Imaging Clinics of North America. 22(2). 191–199. 10 indexed citations
13.
Barker, Bethan, Ruth Hartley, M. Shelley, et al.. (2013). Associations between quantitative CT measures and airway inflammation in COPD. European Respiratory Journal. 42(Suppl 57). P237–P237. 1 indexed citations
14.
Desai, Dhananjay, Sumit Gupta, Salman Siddiqui, et al.. (2013). Sputum mediator profiling and relationship to airway wall geometry imaging in severe asthma. Respiratory Research. 14(1). 17–17. 19 indexed citations
15.
Subramanian, Deepak, Sumit Gupta, Loems Ziegler‐Heitbrock, Christopher E. Brightling, & David Parr. (2011). Assessing The Relationship Between Standardized CT Lung Densitometry And Airways Disease. A5222–A5222.
16.
Botchu, Rajesh, et al.. (2011). Out of Hours Multidetector Computed Tomography Pulmonary Angiography. Academic Radiology. 19(2). 191–195. 6 indexed citations
17.
Gupta, Sumit, et al.. (2011). Computed tomography scans in severe asthma. Current Opinion in Pulmonary Medicine. 18(1). 42–47. 35 indexed citations
18.
Gupta, Sumit. (2010). Effectiveness and Safety of Bronchial Thermoplasty in the Treatment of Severe Asthma. American Journal of Respiratory and Critical Care Medicine. 182(12). 1565–1565. 1 indexed citations
19.
Siddiqui, Salman, Sumit Gupta, Glenn Cruse, et al.. (2009). Airway wall geometry in asthma and nonasthmatic eosinophilic bronchitis. Allergy. 64(6). 951–958. 45 indexed citations
20.
Haldar, Pranabashis, Christopher E. Brightling, Beverley Hargadon, et al.. (2009). Mepolizumab and Exacerbations of Refractory Eosinophilic Asthma. New England Journal of Medicine. 360(10). 973–984. 1361 indexed citations breakdown →

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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