J.-M. Naccache

809 total citations · 1 hit paper
7 papers, 505 citations indexed

About

J.-M. Naccache is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Epidemiology. According to data from OpenAlex, J.-M. Naccache has authored 7 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 3 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in J.-M. Naccache's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Infectious Diseases and Tuberculosis (1 paper). J.-M. Naccache is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Infectious Diseases and Tuberculosis (1 paper). J.-M. Naccache collaborates with scholars based in France. J.-M. Naccache's co-authors include Jean‐Jacques Mourad, Gaëlle Dauriat, Emmanuelle Sacco, Gilles Châtellier, Jérôme Le Pavec, Olivier Voisin, Sophie Laplanche, Gilles Hayem, I. Lazareth and Joseph Emmerich and has published in prestigious journals such as Journal of Medical Microbiology, The International Journal of Tuberculosis and Lung Disease and The Lancet Rheumatology.

In The Last Decade

J.-M. Naccache

7 papers receiving 496 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Anakinra for severe forms of COVID-19: a cohort study

2020 464 citations Thomas Huet, Hélène Beaussier et al. The Lancet Rheumatology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J.-M. Naccache France	3	408	213	114	58	54	7	505
Olivier Voisin France	4	396 1.0×	218 1.0×	115 1.0×	38 0.7×	53 1.0×	5	504
Thomas Huet France	2	375 0.9×	213 1.0×	111 1.0×	37 0.6×	53 1.0×	2	465
Kai-tai Yao China	4	465 1.1×	236 1.1×	73 0.6×	22 0.4×	37 0.7×	10	636
Lei Mai China	4	525 1.3×	231 1.1×	114 1.0×	86 1.5×	35 0.6×	5	681
Nancy Grisel United States	5	198 0.5×	110 0.5×	45 0.4×	39 0.7×	29 0.5×	7	269
Alberto Utrero‐Rico Spain	11	213 0.5×	123 0.6×	37 0.3×	40 0.7×	141 2.6×	20	407
Carlos Capela Portugal	7	196 0.5×	93 0.4×	62 0.5×	40 0.7×	52 1.0×	18	393
Elías Cuesta‐Llavona Spain	11	255 0.6×	71 0.3×	91 0.8×	28 0.5×	97 1.8×	32	436
Alexandre Carvalho Portugal	5	189 0.5×	94 0.4×	57 0.5×	22 0.4×	48 0.9×	13	331
Davide Negrini Italy	10	373 0.9×	46 0.2×	39 0.3×	52 0.9×	30 0.6×	19	519

Countries citing papers authored by J.-M. Naccache

Since Specialization

Citations

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

Fields of papers citing papers by J.-M. Naccache

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.-M. Naccache. 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 J.-M. Naccache. The network helps show where J.-M. Naccache may publish in the future.

Co-authorship network of co-authors of J.-M. Naccache

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

All Works

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7 of 7 papers shown

1.

Huet, Thomas, Hélène Beaussier, Olivier Voisin, et al.. (2020). Anakinra for severe forms of COVID-19: a cohort study. The Lancet Rheumatology. 2(7). e393–e400. 464 indexed citations breakdown →

2.

Debray, Marie‐Pierre, Raphaël Borie, J.-M. Naccache, et al.. (2013). Évolution des aspects scannographiques des pneumopathies interstitielles associées aux anticorps anti-synthétases. Revue des Maladies Respiratoires. 30. A30–A31. 1 indexed citations

3.

Saidenberg-Kermanac’h, Nathalie, Luca Semerano, J.-M. Naccache, et al.. (2012). Screening for latent tuberculosis in anti-TNF-α candidate patients in a high tuberculosis incidence setting. The International Journal of Tuberculosis and Lung Disease. 16(10). 1307–1314. 20 indexed citations

4.

Naccache, J.-M. & Hervé Mal. (2011). Prise en charge des exacerbations aiguës de fibrose pulmonaire idiopathique. Revue des Maladies Respiratoires. 28(4). 517–528. 1 indexed citations

5.

Brauner, Michel, et al.. (2008). Imaging pulmonary fibrosis. 1 indexed citations

6.

Dannaoui, Éric, Dea Garcia‐Hermoso, J.-M. Naccache, et al.. (2006). Use of voriconazole in a patient with aspergilloma caused by an itraconazole-resistant strain of Aspergillus fumigatus. Journal of Medical Microbiology. 55(10). 1457–1459. 17 indexed citations

7.

Nunès, Hilario, et al.. (2001). [Severe pulmonary sarcoidosis].. PubMed. 152(2). 96–102. 1 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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