Paul Decker

1.0k total citations
19 papers, 575 citations indexed

About

Paul Decker is a scholar working on Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Rheumatology. According to data from OpenAlex, Paul Decker has authored 19 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 4 papers in Pathology and Forensic Medicine and 4 papers in Rheumatology. Recurrent topics in Paul Decker's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Systemic Sclerosis and Related Diseases (4 papers) and Inflammatory Myopathies and Dermatomyositis (3 papers). Paul Decker is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Systemic Sclerosis and Related Diseases (4 papers) and Inflammatory Myopathies and Dermatomyositis (3 papers). Paul Decker collaborates with scholars based in United States, France and Germany. Paul Decker's co-authors include Fabien Maldonado, Teng Moua, Richard A. Robb, Sushravya Raghunath, Ronald A. Karwoski, Brian J. Bartholmai, T. Moulinet, R. Jaussaud, Jay H. Ryu and Srinivasan Rajagopalan and has published in prestigious journals such as Journal of Clinical Oncology, CHEST Journal and The American Journal of Medicine.

In The Last Decade

Paul Decker

16 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Decker United States 10 340 118 106 95 91 19 575
Takuya Emoto Japan 9 389 1.1× 74 0.6× 133 1.3× 47 0.5× 46 0.5× 17 485
Mario Fabbri Italy 13 533 1.6× 47 0.4× 111 1.0× 41 0.4× 74 0.8× 24 640
T. Zontsich Austria 11 164 0.5× 97 0.8× 73 0.7× 152 1.6× 91 1.0× 18 550
P. Uhrmeister Germany 15 303 0.9× 128 1.1× 81 0.8× 314 3.3× 140 1.5× 27 715
M.-F. Carette France 10 260 0.8× 67 0.6× 35 0.3× 103 1.1× 75 0.8× 24 415
Taishi Nagao Japan 15 920 2.7× 39 0.3× 281 2.7× 83 0.9× 38 0.4× 32 1.0k
Hiroshi Oiwa Japan 9 483 1.4× 29 0.2× 38 0.4× 88 0.9× 32 0.4× 46 630
Amir Lagstein United States 13 605 1.8× 37 0.3× 185 1.7× 88 0.9× 16 0.2× 22 737
Konstantinos Bratis United Kingdom 15 113 0.3× 92 0.8× 58 0.5× 88 0.9× 262 2.9× 32 594
Carlo Gurioli Italy 16 1.2k 3.4× 98 0.8× 299 2.8× 107 1.1× 21 0.2× 48 1.3k

Countries citing papers authored by Paul Decker

Since Specialization
Citations

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

Fields of papers citing papers by Paul Decker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Decker

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

All Works

19 of 19 papers shown
1.
Devilliers, Hervé, Paul Decker, Florian Manneville, et al.. (2025). Association of Cancer and Anti-Synthetase Syndrome: A Retrospective Multicenter Study. The American Journal of Medicine. 138(10). 1418–1427.e4.
2.
Aeschlimann, Florence A., I. Lemelle, R. Jaussaud, et al.. (2024). Long-term outcomes of childhood-onset systemic lupus erythematosus. Lara D. Veeken. 64(4). 2209–2213. 3 indexed citations
4.
Devilliers, H., Paul Decker, Bernard Bonnotte, et al.. (2023). POS1230 ASSOCIATION OF CANCER AND ANTISYNTHETASE SYNDROME: A RETROSPECTIVE MULTICENTER STUDY. 951–952. 1 indexed citations
5.
Moulinet, T., et al.. (2022). JAK inhibitors and systemic sclerosis: A systematic review of the literature. Autoimmunity Reviews. 21(10). 103168–103168. 44 indexed citations
6.
Decker, Paul, T. Moulinet, Benjamín López, et al.. (2021). Clinical significance of anti-Ro52 (TRIM21) antibodies in adult patients with connective tissue diseases. European Journal of Internal Medicine. 91. 45–52. 18 indexed citations
7.
Decker, Paul, et al.. (2021). An updated review of anti-Ro52 (TRIM21) antibodies impact in connective tissue diseases clinical management. Autoimmunity Reviews. 21(3). 103013–103013. 37 indexed citations
8.
Decker, Paul, T. Moulinet, Sabine Revuz, Pierre Perez, & R. Jaussaud. (2021). Thrombotic Thrombocytopenic Purpura Without Schistocytes. Neurology Clinical Practice. 11(5). e798–e800. 1 indexed citations
9.
Maldonado, Fabien, Teng Moua, Srinivasan Rajagopalan, et al.. (2013). Automated quantification of radiological patterns predicts survival in idiopathic pulmonary fibrosis. European Respiratory Journal. 43(1). 204–212. 173 indexed citations
10.
Bartholmai, Brian J., Sushravya Raghunath, Ronald A. Karwoski, et al.. (2013). Quantitative Computed Tomography Imaging of Interstitial Lung Diseases. Journal of Thoracic Imaging. 28(5). 298–307. 120 indexed citations
11.
Tomassetti, Sara, Carlo Gurioli, Claudia Ravaglia, et al.. (2013). The effect of anticoagulant therapy for idiopathic pulmonary fibrosis in real life practice.. PubMed. 30(2). 121–7. 31 indexed citations
12.
DePew, Zachary S., Eric S. Edell, David E. Midthun, et al.. (2012). Endobronchial Ultrasound-guided Transbronchial Needle Aspiration. Journal of Bronchology & Interventional Pulmonology. 19(4). 271–276. 10 indexed citations
13.
Grogan, Eric L., Stephen A. Deppen, Karla V. Ballman, et al.. (2012). Accuracy of FDG-PET to diagnose lung cancer in the ACOSOG Z4031 trial.. Journal of Clinical Oncology. 30(15_suppl). 7008–7008. 5 indexed citations
14.
Raghunath, Sushravya, Teng Moua, Colin M. Segovis, et al.. (2011). Correlation of Quantitative Lung Tissue Characterization as Assessed by CALIPER With Pulmonary Function and 6-Minute Walk Test. CHEST Journal. 140(4). 1040A–1040A.
15.
Cheng, Yuan, Paul Decker, Megan M. O’Byrne, & Catherine R. Weiler. (2005). Specific polysaccharide antibody deficiency syndrome (SPAD): Clinical and laboratory characteristics of seventy seven patients. Journal of Allergy and Clinical Immunology. 115(2). S158–S158. 1 indexed citations
16.
Decker, Paul, et al.. (2003). Massives lokalisiertes Lymphödem - eine seltene Entität. Zentralblatt für Chirurgie - Zeitschrift für Allgemeine Viszeral- Thorax- und Gefäßchirurgie. 128(11). 985–987. 5 indexed citations
17.
Horlocker, Terese T., Zahid H. Bajwa, Sajid Khan, et al.. (2002). Risk Assessment of Hemorrhagic Complications Associated with Nonsteroidal Antiinflammatory Medications in Ambulatory Pain Clinic Patients Undergoing Epidural Steroid Injection. Anesthesia & Analgesia. 95(6). 1691–1697. 75 indexed citations
18.
Warner, Mary E., James R. Hebl, David C. Herman, et al.. (2002). Perioperative Visual Changes. Anesthesiology. 96(4). 855–859. 12 indexed citations
19.
Bender, Hans, et al.. (2000). FDG PET and immunoscintigraphy with 99mTc-labeled antibody fragments for detection of the recurrence of colorectal carcinoma.. PubMed. 41(10). 1657–63. 39 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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