Maxim Kots

825 total citations
18 papers, 174 citations indexed

About

Maxim Kots is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Maxim Kots has authored 18 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 12 papers in Physiology and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Maxim Kots's work include Asthma and respiratory diseases (12 papers), Inhalation and Respiratory Drug Delivery (8 papers) and Respiratory and Cough-Related Research (6 papers). Maxim Kots is often cited by papers focused on Asthma and respiratory diseases (12 papers), Inhalation and Respiratory Drug Delivery (8 papers) and Respiratory and Cough-Related Research (6 papers). Maxim Kots collaborates with scholars based in Italy, United Kingdom and Germany. Maxim Kots's co-authors include George Georges, J. Christian Virchow, Dave Singh, Alberto Papi, Giorgio Walter Canonica, Stefano Petruzzelli, Pierluigi Paggiaro, Piotr Kuna, Pierluigi Paggiaro and Ian Pavord and has published in prestigious journals such as The Lancet, Journal of Allergy and Clinical Immunology and Value in Health.

In The Last Decade

Maxim Kots

16 papers receiving 174 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maxim Kots Italy 4 167 156 12 11 7 18 174
Rabih Klink United Kingdom 3 48 0.3× 47 0.3× 3 0.3× 3 0.3× 1 0.1× 4 60
Antonio Perrella Italy 4 64 0.4× 45 0.3× 17 1.4× 1 0.1× 12 1.7× 6 71
Breda Flood Greece 3 53 0.3× 22 0.1× 40 3.3× 3 0.3× 7 1.0× 3 68
Bipen D. Patel United Kingdom 3 49 0.3× 114 0.7× 19 1.7× 6 0.9× 5 127
Minyoung Cho United States 3 40 0.2× 40 0.3× 41 3.7× 2 0.3× 6 97
Neil Fitch Malaysia 2 28 0.2× 14 0.1× 13 1.1× 3 0.3× 17 2.4× 3 43
E Valovirta Denmark 6 127 0.8× 47 0.3× 117 9.8× 2 0.2× 1 0.1× 7 145
Heidi Schaarschmidt Germany 2 30 0.2× 29 0.2× 9 0.8× 6 0.9× 2 46
Bina Choi United States 5 19 0.1× 71 0.5× 4 0.4× 2 0.3× 15 84
Kamran Tariq United Kingdom 2 17 0.1× 15 0.1× 7 0.6× 3 0.3× 12 1.7× 7 34

Countries citing papers authored by Maxim Kots

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Kots

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Kots

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

All Works

18 of 18 papers shown
3.
Hartman, Jorine E., Monica Kraft, Salman Siddiqui, et al.. (2023). Cluster analysis to identify distinct clinical asthma phenotypes within ATLANTIS. OA1525–OA1525. 1 indexed citations
4.
Richardson, Matthew, Janwillem Kocks, S. Baldi, et al.. (2023). Associations of imaging biomarkers with physiological markers of small airways dysfunction in asthma in the ATLANTIS study.. OA1529–OA1529. 1 indexed citations
6.
Henley, William, Derek Skinner, Rebecca Vella, et al.. (2022). Predicting Pneumonia Events in COPD Patients Using Medical Records. A2400–A2400.
7.
Papi, Alberto, J. Christian Virchow, Dave Singh, et al.. (2021). Extrafine triple therapy and asthma exacerbation seasonality: TRIMARAN and TRIGGER post hoc analyses. Journal of Allergy and Clinical Immunology. 148(1). 262–265.e2. 8 indexed citations
10.
Singh, Dave, J. Christian Virchow, Giorgio Walter Canonica, et al.. (2020). Determinants of response to inhaled extrafine triple therapy in asthma: analyses of TRIMARAN and TRIGGER. Respiratory Research. 21(1). 285–285. 21 indexed citations
11.
Shrimanker, Rahul, Clare Connolly, Samantha Thulborn, et al.. (2019). Late Breaking Abstract - Effect of timapiprant, a DP2 antagonist, on airway inflammation in severe eosinophilic asthma. RCT3784–RCT3784. 2 indexed citations
12.
Virchow, J. Christian, Pierluigi Paggiaro, Giorgio Walter Canonica, et al.. (2019). Effect of extrafine medium strength (MS) ICS-containing triple therapy on exacerbations in asthmatics with persistent airflow limitation: A post-hoc analysis of the TRIMARAN study. PA3719–PA3719. 1 indexed citations
13.
Virchow, J. Christian, Piotr Kuna, Pierluigi Paggiaro, et al.. (2019). Single inhaler extrafine triple therapy in uncontrolled asthma (TRIMARAN and TRIGGER): two double-blind, parallel-group, randomised, controlled phase 3 trials. The Lancet. 394(10210). 1737–1749. 127 indexed citations
17.
Singh, Dave, J. Christian Virchow, Giorgio Walter Canonica, et al.. (2019). Characteristics of prominent response to triple therapy in patients with asthma uncontrolled on ICS/LABA: A stratified analysis of the TRIMARAN and TRIGGER studies. RCT3779–RCT3779. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026