Nadine Lossi

927 total citations
18 papers, 729 citations indexed

About

Nadine Lossi is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology and Physiology. According to data from OpenAlex, Nadine Lossi has authored 18 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 8 papers in Endocrinology and 6 papers in Physiology. Recurrent topics in Nadine Lossi's work include Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Vibrio bacteria research studies (8 papers) and Respiratory Support and Mechanisms (6 papers). Nadine Lossi is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Vibrio bacteria research studies (8 papers) and Respiratory Support and Mechanisms (6 papers). Nadine Lossi collaborates with scholars based in United Kingdom, Germany and United States. Nadine Lossi's co-authors include Alain Filloux, Abderrahman Hachani, Paul S. Freemont, Rana Dajani, C. Hal Jones, Carl-Peter Criée, Péter Kardos, Roland Buhl, H. Worth and Eleni Manoli and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Microbiology and Thorax.

In The Last Decade

Nadine Lossi

18 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadine Lossi United Kingdom 16 357 250 182 147 135 18 729
Silvia Bazzini Italy 7 91 0.3× 317 1.3× 125 0.7× 118 0.8× 10 0.1× 8 491
A Brown United States 19 479 1.3× 356 1.4× 31 0.2× 20 0.1× 70 0.5× 36 845
Neil Molyneaux United States 6 218 0.6× 225 0.9× 16 0.1× 426 2.9× 5 0.0× 7 634
Markus Schmidt Germany 8 193 0.5× 213 0.9× 17 0.1× 21 0.1× 11 0.1× 8 512
Yash R. Patankar United States 7 41 0.1× 200 0.8× 69 0.4× 48 0.3× 23 0.2× 7 348
Zhi Jiang China 14 24 0.1× 283 1.1× 66 0.4× 25 0.2× 37 0.3× 29 587
Harold J Bull Canada 13 34 0.1× 370 1.5× 25 0.1× 28 0.2× 51 0.4× 21 740
Shankar Iyer United States 10 52 0.1× 167 0.7× 22 0.1× 25 0.2× 33 0.2× 15 409
Ana Serna‐Gallego Spain 13 27 0.1× 211 0.8× 22 0.1× 25 0.2× 13 0.1× 26 418
Stefan Kaulfuß Germany 9 371 1.0× 122 0.5× 6 0.0× 36 0.2× 8 0.1× 15 622

Countries citing papers authored by Nadine Lossi

Since Specialization
Citations

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

Fields of papers citing papers by Nadine Lossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadine Lossi

This figure shows the co-authorship network connecting the top 25 collaborators of Nadine Lossi. A scholar is included among the top collaborators of Nadine Lossi 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 Nadine Lossi. Nadine Lossi 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
1.
Κostikas, Κonstantinos, Timm Greulich, Alexander Mackay, et al.. (2019). Treatment response in COPD: does FEV1say it all? Apost hocanalysis of the CRYSTAL study. ERJ Open Research. 5(1). 243–2018. 18 indexed citations
2.
Greulich, Timm, Κonstantinos Κostikas, Mina Gaga, et al.. (2018). Indacaterol/glycopyrronium reduces the risk of clinically important deterioration after direct switch from baseline therapies in patients with moderate COPD: a post hoc analysis of the CRYSTAL study. International Journal of COPD. Volume 13. 1229–1237. 15 indexed citations
3.
Buhl, Roland, Carl-Peter Criée, Péter Kardos, et al.. (2018). Dual bronchodilation vs triple therapy in the “real-life” COPD DACCORD study. International Journal of COPD. Volume 13. 2557–2568. 26 indexed citations
4.
Vogelmeier, Claus, H. Worth, Roland Buhl, et al.. (2017). “Real-life” inhaled corticosteroid withdrawal in COPD: a subgroup analysis of DACCORD. International Journal of COPD. Volume 12. 487–494. 44 indexed citations
5.
Kardos, Péter, C. Franz Vogelmeier, H. Worth, et al.. (2017). A two-year evaluation of the ‘real life’ impact of COPD on patients in Germany: The DACCORD observational study. Respiratory Medicine. 124. 57–64. 28 indexed citations
6.
Worth, H., Roland Buhl, Carl-Peter Criée, et al.. (2017). GOLD 2017 treatment pathways in ‘real life’: An analysis of the DACCORD observational study. Respiratory Medicine. 131. 77–84. 23 indexed citations
7.
Buhl, Roland, Carl-Peter Criée, Péter Kardos, et al.. (2017). Low rate of exacerbations following initiation of LABA/LAMA fixed-dose combinations: An analysis of the DACCORD real life study. PA1070–PA1070. 1 indexed citations
8.
Young, David, Roland Buhl, Carl-Peter Criée, et al.. (2016). A year in the life of German patients with COPD: the DACCORD observational study. International Journal of COPD. Volume 11. 1639–1646. 23 indexed citations
9.
Vogelmeier, Claus, H. Worth, Roland Buhl, et al.. (2016). P285 The ‘real-life’ copd patient in the age of laba/lamas: an expansion of the daccord study. Thorax. 71(Suppl 3). A243.2–A244. 1 indexed citations
10.
Förster, Andreas, Sara Planamente, Eleni Manoli, et al.. (2014). Coevolution of the ATPase ClpV, the Sheath Proteins TssB and TssC, and the Accessory Protein TagJ/HsiE1 Distinguishes Type VI Secretion Classes. Journal of Biological Chemistry. 289(47). 33032–33043. 48 indexed citations
11.
Hachani, Abderrahman, Nadine Lossi, & Alain Filloux. (2013). A Visual Assay to Monitor T6SS-mediated Bacterial Competition. Journal of Visualized Experiments. e50103–e50103. 37 indexed citations
12.
Lossi, Nadine, Eleni Manoli, Andreas Förster, et al.. (2013). The HsiB1C1 (TssB-TssC) Complex of the Pseudomonas aeruginosa Type VI Secretion System Forms a Bacteriophage Tail Sheathlike Structure. Journal of Biological Chemistry. 288(11). 7536–7548. 67 indexed citations
13.
Hachani, Abderrahman, Nadine Lossi, & Alain Filloux. (2013). A Visual Assay to Monitor T6SS-mediated Bacterial Competition. Journal of Visualized Experiments. 17 indexed citations
14.
Lossi, Nadine, Eleni Manoli, P. J. Simpson, et al.. (2012). The archetype Pseudomonas aeruginosa proteins TssB and TagJ form a novel subcomplex in the bacterial type VI secretion system. Molecular Microbiology. 86(2). 437–456. 22 indexed citations
15.
Hachani, Abderrahman, Nadine Lossi, Alexander Hamilton, et al.. (2011). Type VI Secretion System in Pseudomonas aeruginosa. Journal of Biological Chemistry. 286(14). 12317–12327. 134 indexed citations
16.
Lossi, Nadine, Rana Dajani, Paul S. Freemont, & Alain Filloux. (2011). Structure–function analysis of HsiF, a gp25-like component of the type VI secretion system, in Pseudomonas aeruginosa. Microbiology. 157(12). 3292–3305. 45 indexed citations
17.
Lossi, Nadine, Nathalie Rolhion, Anthony I. Magee, Cliona Boyle, & David W. Holden. (2008). The Salmonella SPI-2 effector SseJ exhibits eukaryotic activator-dependent phospholipase A and glycerophospholipid : cholesterol acyltransferase activity. Microbiology. 154(9). 2680–2688. 62 indexed citations
18.
Rosivatz, Erika, Neil Q. McDonald, Xavier Mulet, et al.. (2006). A Small-Molecule Inhibitor for Phosphatase and Tensin Homologue Deleted on Chromosome 10 (PTEN). ACS Chemical Biology. 1(12). 780–790. 118 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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