Tanushree Tunstall

1.2k total citations
16 papers, 606 citations indexed

About

Tanushree Tunstall is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Tanushree Tunstall has authored 16 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 8 papers in Pulmonary and Respiratory Medicine and 6 papers in Epidemiology. Recurrent topics in Tanushree Tunstall's work include Asthma and respiratory diseases (8 papers), Respiratory viral infections research (4 papers) and Pediatric health and respiratory diseases (4 papers). Tanushree Tunstall is often cited by papers focused on Asthma and respiratory diseases (8 papers), Respiratory viral infections research (4 papers) and Pediatric health and respiratory diseases (4 papers). Tanushree Tunstall collaborates with scholars based in United Kingdom, United States and Italy. Tanushree Tunstall's co-authors include Trevor T. Hansel, Ryan S. Thwaites, Peter Openshaw, Carlo Alberto Volta, Savino Spadaro, Paolo Ruggeri, Tommaso Mauri, Mirae Park, Gaetano Caramori and Riccardo Ragazzi and has published in prestigious journals such as Science, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Tanushree Tunstall

16 papers receiving 599 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanushree Tunstall United Kingdom 11 259 237 157 125 113 16 606
Lucas Kimmig United States 11 128 0.5× 74 0.3× 177 1.1× 117 0.9× 108 1.0× 20 543
Alexander Geyer United States 11 251 1.0× 324 1.4× 186 1.2× 23 0.2× 291 2.6× 20 730
Young Sil Hwang South Korea 13 260 1.0× 113 0.5× 92 0.6× 33 0.3× 68 0.6× 53 503
Lihua Xing China 13 109 0.4× 200 0.8× 154 1.0× 107 0.9× 293 2.6× 35 676
Xiaoqing Lu China 7 103 0.4× 125 0.5× 191 1.2× 43 0.3× 63 0.6× 24 489
Emilio García-Prieto Spain 13 346 1.3× 100 0.4× 34 0.2× 77 0.6× 84 0.7× 25 559
Christian Schörgenhofer Austria 14 39 0.2× 105 0.4× 102 0.6× 151 1.2× 80 0.7× 35 625
Nina Buchtele Austria 12 53 0.2× 120 0.5× 85 0.5× 56 0.4× 67 0.6× 64 563
Sabrina Setembre Batah Brazil 9 102 0.4× 54 0.2× 157 1.0× 72 0.6× 88 0.8× 27 377

Countries citing papers authored by Tanushree Tunstall

Since Specialization
Citations

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

Fields of papers citing papers by Tanushree Tunstall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanushree Tunstall

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

All Works

16 of 16 papers shown
1.
Thwaites, Ryan S., Tanushree Tunstall, Mica Tolosa-Wright, et al.. (2023). RESPISAM: Type 1 inflammation biomarkers from bronchial mucosal lining fluid in parenchymal versus nodal sarcoidosis.. PA2223–PA2223. 1 indexed citations
2.
Tunstall, Tanushree, et al.. (2021). Structural and Genomic Insights Into Pyrazinamide Resistance in Mycobacterium tuberculosis Underlie Differences Between Ancient and Modern Lineages. Frontiers in Molecular Biosciences. 8. 619403–619403. 7 indexed citations
3.
Spadaro, Savino, Alberto Fogagnolo, Gianluca Campo, et al.. (2021). Markers of endothelial and epithelial pulmonary injury in mechanically ventilated COVID-19 ICU patients. Critical Care. 25(1). 74–74. 101 indexed citations
4.
Habibi, Maximillian S., Ryan S. Thwaites, Mei‐Ping Chang, et al.. (2020). Neutrophilic inflammation in the respiratory mucosa predisposes to RSV infection. Science. 370(6513). 108 indexed citations
5.
Jha, Akhilesh, Ryan S. Thwaites, Tanushree Tunstall, et al.. (2020). Increased nasal mucosal interferon and CCL13 response to a TLR7/8 agonist in asthma and allergic rhinitis. Journal of Allergy and Clinical Immunology. 147(2). 694–703.e12. 26 indexed citations
6.
Tunstall, Tanushree, Stephanie Portelli, Jody Phelan, et al.. (2020). Combining structure and genomics to understand antimicrobial resistance. Computational and Structural Biotechnology Journal. 18. 3377–3394. 15 indexed citations
7.
Spadaro, Savino, Mirae Park, Cecilia Turrini, et al.. (2019). Biomarkers for Acute Respiratory Distress syndrome and prospects for personalised medicine. Journal of Inflammation. 16(1). 1–1. 176 indexed citations
8.
Jha, Akhilesh, Jake Dunning, Tanushree Tunstall, et al.. (2019). Patterns of systemic and local inflammation in patients with asthma hospitalised with influenza. European Respiratory Journal. 54(4). 1900949–1900949. 13 indexed citations
9.
Jha, Akhilesh, Ryan S. Thwaites, Tanushree Tunstall, et al.. (2019). Enhancedin vivomucosal interferon and chemokine responses to a single stranded RNA analogue (R848) in participants with asthma. Spiral (Imperial College London). OP01–OP01. 1 indexed citations
10.
Thwaites, Ryan S., Matthew Coates, Kazuhiro Ito, et al.. (2018). Reduced Nasal Viral Load and IFN Responses in Infants with Respiratory Syncytial Virus Bronchiolitis and Respiratory Failure. American Journal of Respiratory and Critical Care Medicine. 198(8). 1074–1084. 72 indexed citations
11.
Thwaites, Ryan S., Akhilesh Jha, Tanushree Tunstall, et al.. (2018). Absorption of Nasal and Bronchial Fluids: Precision Sampling of the Human Respiratory Mucosa and Laboratory Processing of Samples. Journal of Visualized Experiments. 30 indexed citations
12.
Thwaites, Ryan S., Hannah C. Jarvis, Tanushree Tunstall, et al.. (2018). Absorption of Nasal and Bronchial Fluids: Precision Sampling of the Human Respiratory Mucosa and Laboratory Processing of Samples. Journal of Visualized Experiments. 12 indexed citations
13.
Thwaites, Ryan S., Kazuhiro Ito, Matthew Coates, et al.. (2017). Nasosorption as a Minimally Invasive Sampling Procedure: Mucosal Viral Load and Inflammation in Primary RSV Bronchiolitis. The Journal of Infectious Diseases. 215(8). 1240–1244. 27 indexed citations
14.
Jha, Akhilesh, Jake Dunning, Tanushree Tunstall, Trevor T. Hansel, & Peter Openshaw. (2016). Asthma patients hospitalized with influenza lack mucosal and systemic type 2 inflammation. Spiral (Imperial College London). OA4955–OA4955. 1 indexed citations
15.
Armstrong, Paul C., Jane A. Mitchell, Timothy D. Warner, et al.. (2015). Protocol for a human in vivo model of acute cigarette smoke inhalation challenge in smokers with COPD: monitoring the nasal and systemic immune response using a network biology approach. BMJ Open. 5(1). e005750–e005750. 1 indexed citations
16.
Dhariwal, Jaideep, Jeremy Kitson, Grant C. Nicholson, et al.. (2015). Nasal Lipopolysaccharide Challenge and Cytokine Measurement Reflects Innate Mucosal Immune Responsiveness. PLoS ONE. 10(9). e0135363–e0135363. 15 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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2026