Chris Kell

648 total citations · 1 hit paper
9 papers, 447 citations indexed

About

Chris Kell is a scholar working on Physiology, Immunology and Surgery. According to data from OpenAlex, Chris Kell has authored 9 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 5 papers in Immunology and 4 papers in Surgery. Recurrent topics in Chris Kell's work include Asthma and respiratory diseases (6 papers), IL-33, ST2, and ILC Pathways (5 papers) and Eosinophilic Esophagitis (4 papers). Chris Kell is often cited by papers focused on Asthma and respiratory diseases (6 papers), IL-33, ST2, and ILC Pathways (5 papers) and Eosinophilic Esophagitis (4 papers). Chris Kell collaborates with scholars based in United Kingdom, Singapore and Spain. Chris Kell's co-authors include Dewei She, Christopher E. Brightling, Edward Piper, Gregory P. Geba, Robert Niven, Chad K. Oh, Raffaella Faggioni, Richard May, Néstor A. Molfino and Ian Glaspole and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, European Respiratory Journal and British Journal of Clinical Pharmacology.

In The Last Decade

Chris Kell

9 papers receiving 430 citations

Hit Papers

A phase 2a trial of the IL-33 monoclonal antibody tozorak... 2025 2026 2025 5 10 15

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Kell United Kingdom 5 306 245 163 95 55 9 447
Yohei Yatagai Japan 11 183 0.6× 212 0.9× 71 0.4× 35 0.4× 41 0.7× 27 354
Hirohita Kita United States 4 444 1.5× 168 0.7× 209 1.3× 210 2.2× 116 2.1× 8 531
Chynna Huang Canada 8 399 1.3× 155 0.6× 370 2.3× 68 0.7× 267 4.9× 21 576
Anita Trikha United States 5 152 0.5× 78 0.3× 67 0.4× 60 0.6× 74 1.3× 8 232
Emanuele Vivarelli Italy 11 145 0.5× 130 0.5× 70 0.4× 66 0.7× 51 0.9× 33 336
Kit Wong United States 6 441 1.4× 126 0.5× 103 0.6× 472 5.0× 163 3.0× 9 716
Jane Gilbert United Kingdom 6 322 1.1× 99 0.4× 68 0.4× 261 2.7× 137 2.5× 9 501
Zhi Bin Lin China 11 145 0.5× 49 0.2× 50 0.3× 134 1.4× 103 1.9× 17 324
Regina T. Chustz United States 6 171 0.6× 35 0.1× 166 1.0× 147 1.5× 60 1.1× 8 398
Claus Bachert Germany 6 194 0.6× 80 0.3× 85 0.5× 149 1.6× 105 1.9× 14 349

Countries citing papers authored by Chris Kell

Since Specialization
Citations

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

Fields of papers citing papers by Chris Kell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Kell

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

All Works

9 of 9 papers shown
1.
Corren, Jonathan, Rachel Moate, Adam Williams, et al.. (2025). FRONTIER-3: a randomised phase 2a study to investigate tozorakimab, an anti-interleukin-33 monoclonal antibody, in early-onset asthma. ERJ Open Research. 12(1). 183–2025. 1 indexed citations
2.
Singh, Dave, Sarah Doffman, Ulla Seppälä, et al.. (2025). A phase 2a trial of the IL-33 monoclonal antibody tozorakimab in patients with COPD: FRONTIER-4. European Respiratory Journal. 66(1). 2402231–2402231. 19 indexed citations breakdown →
4.
Sadiq, Muhammad Waqas, Magnus Åstrand, Ian C. Scott, et al.. (2024). Population pharmacokinetic/target engagement modelling of tozorakimab in healthy volunteers and patients with chronic obstructive pulmonary disease. British Journal of Clinical Pharmacology. 90(12). 3286–3295. 2 indexed citations
5.
Pandya, Hitesh, Sarah Doffman, Lars H. Nordenmark, et al.. (2024). Late Breaking Abstract - FRONTIER-4: a phase 2a study to investigate tozorakimab (anti-IL-33 mAb) in COPD. OA1964–OA1964. 1 indexed citations
6.
Parker, Joseph M., Ian Glaspole, Lisa Lancaster, et al.. (2017). A Phase 2 Randomized Controlled Study of Tralokinumab in Subjects with Idiopathic Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 197(1). 94–103. 90 indexed citations
7.
Sheldon, Eric, Martin Schwickart, Jing Li, et al.. (2016). Pharmacokinetics, Pharmacodynamics, and Safety of MEDI4212, an Anti-IgE Monoclonal Antibody, in Subjects with Atopy: A Phase I Study. Advances in Therapy. 33(2). 225–251. 36 indexed citations
8.
Piper, Edward, Christopher E. Brightling, Robert Niven, et al.. (2012). A phase II placebo-controlled study of tralokinumab in moderate-to-severe asthma. European Respiratory Journal. 41(2). 330–338. 290 indexed citations
9.
Piper, Edward, Christopher E. Brightling, Robert Niven, et al.. (2011). Phase 2 randomized, double-blind, placebo-controlled study of tralokinumab, an anti-IL-13 monoclonal antibody, in moderate to severe asthma. European Respiratory Journal. 38(Suppl 55). 3425–3425. 7 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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