Janesh Pillay

5.2k total citations · 2 hit papers
50 papers, 3.3k citations indexed

About

Janesh Pillay is a scholar working on Immunology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Janesh Pillay has authored 50 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 17 papers in Pulmonary and Respiratory Medicine and 13 papers in Epidemiology. Recurrent topics in Janesh Pillay's work include Immune Response and Inflammation (19 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (15 papers) and Sepsis Diagnosis and Treatment (11 papers). Janesh Pillay is often cited by papers focused on Immune Response and Inflammation (19 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (15 papers) and Sepsis Diagnosis and Treatment (11 papers). Janesh Pillay collaborates with scholars based in Netherlands, United States and Germany. Janesh Pillay's co-authors include Leo Koenderman, Luke P. H. Leenen, Tamar Tak, Vera Kamp, José A. M. Borghans, Kiki Tesselaar, Peter Pickkers, Pieter H. C. Leliefeld, Nienke Vrisekoop and Rob J. de Boer and has published in prestigious journals such as Journal of Clinical Investigation, Blood and PLoS ONE.

In The Last Decade

Janesh Pillay

49 papers receiving 3.3k citations

Hit Papers

A subset of neutrophils in human systemic inflammation in... 2010 2026 2015 2020 2011 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janesh Pillay Netherlands 21 2.1k 675 583 372 372 50 3.3k
Carlo Chizzolini Switzerland 38 2.0k 1.0× 701 1.0× 750 1.3× 539 1.4× 412 1.1× 162 4.9k
Matthew Schaller United States 37 2.0k 1.0× 1000 1.5× 1.0k 1.7× 578 1.6× 369 1.0× 85 3.9k
Marion Frankenberger Germany 33 2.5k 1.2× 536 0.8× 918 1.6× 679 1.8× 560 1.5× 81 4.2k
Walter Ferlin Switzerland 30 2.0k 1.0× 339 0.5× 579 1.0× 199 0.5× 707 1.9× 65 3.2k
Francesco Puppo Italy 40 2.6k 1.3× 485 0.7× 605 1.0× 250 0.7× 544 1.5× 124 4.7k
Christophe Parizot France 22 3.0k 1.4× 540 0.8× 459 0.8× 340 0.9× 702 1.9× 49 4.5k
Philip Bufler Germany 31 2.3k 1.1× 634 0.9× 1.2k 2.1× 335 0.9× 505 1.4× 88 4.3k
Claudia A. Nold‐Petry Australia 29 2.1k 1.0× 499 0.7× 1.2k 2.1× 581 1.6× 501 1.3× 67 4.0k
Jesse W. Williams United States 33 1.7k 0.8× 582 0.9× 816 1.4× 230 0.6× 449 1.2× 94 3.6k
Panagiotis Skendros Greece 27 2.0k 1.0× 477 0.7× 1.1k 1.8× 450 1.2× 165 0.4× 70 3.2k

Countries citing papers authored by Janesh Pillay

Since Specialization
Citations

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

Fields of papers citing papers by Janesh Pillay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janesh Pillay

This figure shows the co-authorship network connecting the top 25 collaborators of Janesh Pillay. A scholar is included among the top collaborators of Janesh Pillay 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 Janesh Pillay. Janesh Pillay 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.
Pillay, Janesh, et al.. (2025). Post-COVID pulmonary sequelae: Mechanisms and potential targets to reduce persistent fibrosis. Pharmacology & Therapeutics. 272. 108891–108891. 4 indexed citations
2.
Slart, Riemer H. J. A., Matijs van Meurs, Andor W.J.M. Glaudemans, et al.. (2025). [18F]FDG PET/CT identifies infectious and inflammatory foci in persistent critical illness. Annals of Intensive Care. 15(1). 24–24. 2 indexed citations
4.
Duiverman, Marieke L., Martijn D. de Kruif, Daniela E. Oprea‐Lager, et al.. (2025). [68Ga]FAPI PET/CT reveals increased pulmonary fibroblast activation protein expression in long COVID patients after ICU discharge. European Journal of Nuclear Medicine and Molecular Imaging. 53(1). 565–573. 1 indexed citations
5.
Volbeda, Meint, Matijs van Meurs, Janesh Pillay, et al.. (2024). Time course of plasma urea and urinary urea excretion in patients with a prolonged ICU stay. Scientific Reports. 14(1). 25779–25779. 2 indexed citations
6.
Slart, Riemer H. J. A., et al.. (2024). 18F-fluorodeoxyglucose positron emission tomography/computed tomography differentiates between pneumonia and atelectasis in a mechanically ventilated patient. Intensive Care Medicine. 50(8). 1361–1362. 1 indexed citations
7.
Moser, Jill, Matijs van Meurs, Dorien Kiers, et al.. (2024). Neo-epitope detection identifies extracellular matrix turnover in systemic inflammation and sepsis: an exploratory study. Critical Care. 28(1). 120–120. 3 indexed citations
8.
Nijsten, Maarten W., et al.. (2024). Long axial field of view PET/CT in critically ill patients: lessons from a case report. Frontiers in Medicine. 10. 1347791–1347791. 3 indexed citations
9.
Nijsten, Maarten W., et al.. (2023). [18F]FDG-PET/CT in mechanically ventilated critically ill patients with COVID-19 ARDS and persistent inflammation. Clinical and Translational Imaging. 11(3). 297–306. 4 indexed citations
10.
Lauri, Chiara, Giuseppe Campagna, Andor W.J.M. Glaudemans, et al.. (2023). SARS-CoV-2 Affects Thyroid and Adrenal Glands: An 18F-FDG PET/CT Study. Biomedicines. 11(11). 2899–2899. 4 indexed citations
11.
Nijsten, Maarten W., et al.. (2023). Practice of 18F-FDG-PET/CT in ICU Patients: A Systematic Review. Seminars in Nuclear Medicine. 53(6). 809–819. 9 indexed citations
12.
Voort, Peter H. J. van der, et al.. (2021). Ventilator-associated pneumonia in critically-ill patients with COVID-19 in a setting of selective decontamination of the digestive tract. Critical Care. 25(1). 445–445. 8 indexed citations
13.
Boers, L.S., Michela Botta, Anna Geke Algera, et al.. (2020). PRactice of VENTilation in Patients with Novel Coronavirus Disease (PRoVENT-COVID): rationale and protocol for a national multicenter observational study in The Netherlands. Annals of Translational Medicine. 8(19). 1251–1251. 14 indexed citations
14.
Grinsven, Erinke van, et al.. (2018). A comprehensive three-dimensional assay to assess neutrophil defense against bacteria. Journal of Immunological Methods. 462. 83–90. 6 indexed citations
15.
Tak, Tamar, Tomasz P. Rygiel, Guruswamy Karnam, et al.. (2017). Neutrophil-mediated Suppression of Influenza-induced Pathology Requires CD11b/CD18 (MAC-1). American Journal of Respiratory Cell and Molecular Biology. 58(4). 492–499. 34 indexed citations
16.
Leliefeld, Pieter H. C., et al.. (2016). The role of neutrophils in immune dysfunction during severe inflammation. Critical Care. 20(1). 198 indexed citations
17.
Pillay, Janesh, et al.. (2015). Neutrophils in respiratory syncytial virus infection: A target for asthma prevention. Journal of Allergy and Clinical Immunology. 136(4). 838–847. 76 indexed citations
18.
Hietbrink, Falco, et al.. (2013). Kinetics of the Innate Immune Response After Trauma. Shock. 40(1). 21–27. 51 indexed citations
19.
Pillay, Janesh, Vera Kamp, Els van Hoffen, et al.. (2011). A subset of neutrophils in human systemic inflammation inhibits T cell responses through Mac-1. Journal of Clinical Investigation. 122(1). 327–336. 639 indexed citations breakdown →
20.
Pillay, Janesh, Falco Hietbrink, Leo Koenderman, & Luke P. H. Leenen. (2007). The systemic inflammatory response induced by trauma is reflected by multiple phenotypes of blood neutrophils. Injury. 38(12). 1365–1372. 74 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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