Iain Kilty

2.9k citations
43 papers · 2.5k · h-index 28

Impact in

Papers in

Iain Kilty

43 papers receiving 2.4k citations

Peers

Iain Kilty
Comparison fields: 5 of 107
  • Pulmonary and Respiratory Medicine 767
  • Physiology 338
  • Immunology 231
  • Cancer Research 138
  • Dermatology 79
Replace Davide Sartini with:
Davide Sartini Italy
Joseph Fargnoli United States
Edward F. Webb United States
Karel Chalupský Czechia
Yu‐Jia Chang Taiwan
Evi Schmid Germany
Michael M. Shi United States
Takushi Namba Japan
Yue Chen China
Laurent Martiny France
Iain Kilty relative to Davide Sartini Italy Davide Sartini's profile →
Citations per field
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Davide Sartini · 1×
Citations per year

Countries citing papers authored by Iain Kilty

Since Specialization
Citations

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

Fields of papers citing papers by Iain Kilty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Iain Kilty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Iain Kilty Line = papers co-authored together Iain Kilty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006416
2 2004278
3 2019139
4 2017130
5 2019118
6 201182
7 201880
8 200678
9 202175
10 200868
11 201566
12 201862
13 199957
14 201656
15 201952
16 201649
17 201548
18 201144
19 201642
20 200240

About Iain Kilty

Iain Kilty is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Physiology, Cancer Research and Computational Theory and Mathematics, having authored 43 papers that have together received 2.5k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (17 papers), Asthma and respiratory diseases (6 papers), Chemokine receptors and signaling (4 papers), Computational Drug Discovery Methods (3 papers), NF-κB Signaling Pathways (3 papers), Genetic Associations and Epidemiology (3 papers), Inflammatory mediators and NSAID effects (2 papers) and Inhalation and Respiratory Drug Delivery (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (767 citations), Physiology (338 citations), Immunology (231 citations), Cancer Research (138 citations) and Dermatology (79 citations). Iain Kilty has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Irfan Rahman, Mark R. Bauter, Sanjay B. Maggirwar, Asiya Seema Chida, Nusrat Shafiq, Se‐Ran Yang, Kathryn E. Seweryniak, Saibal K. Biswas, John A. Marwick and Patryk Szulakowski. Their work appears in journals such as PLoS ONE, European Respiratory Journal, Journal of Medicinal Chemistry, American Journal of Physiology-Lung Cellular and Molecular Physiology and Wellcome Open Research.

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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