David Bong

1.4k total citations
26 papers, 670 citations indexed

About

David Bong is a scholar working on Surgery, Rheumatology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David Bong has authored 26 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 9 papers in Rheumatology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David Bong's work include Rheumatoid Arthritis Research and Therapies (7 papers), Orthopedic Surgery and Rehabilitation (6 papers) and Musculoskeletal synovial abnormalities and treatments (5 papers). David Bong is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (7 papers), Orthopedic Surgery and Rehabilitation (6 papers) and Musculoskeletal synovial abnormalities and treatments (5 papers). David Bong collaborates with scholars based in Spain, Italy and Denmark. David Bong's co-authors include Ingrid Möller, Annamaria Iagnocco, Esperanza Naredo, Emilio Filippucci, Carmen Moragues, Ramón Balius, Carles Pedret, Jesús Garrido, George A. W. Bruyn and Maria Antonietta D’Agostino and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Annals of the Rheumatic Diseases.

In The Last Decade

David Bong

23 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Bong Spain 13 354 288 135 113 83 26 670
Tudor Hughes United States 16 290 0.8× 389 1.4× 183 1.4× 48 0.4× 149 1.8× 44 850
E. Qvistgaard Denmark 15 708 2.0× 523 1.8× 307 2.3× 37 0.3× 107 1.3× 17 1.1k
Vasco Mascarenhas Portugal 15 139 0.4× 571 2.0× 167 1.2× 48 0.4× 18 0.2× 49 758
A. Wanivenhaus Austria 11 278 0.8× 309 1.1× 208 1.5× 31 0.3× 90 1.1× 36 637
Milko C. de Jonge Netherlands 10 120 0.3× 244 0.8× 213 1.6× 78 0.7× 74 0.9× 24 463
Stephen Eustace Ireland 13 164 0.5× 223 0.8× 92 0.7× 47 0.4× 19 0.2× 37 502
Maura Valle Italy 18 205 0.6× 885 3.1× 155 1.1× 409 3.6× 232 2.8× 25 1.2k
Leonard King United Kingdom 13 273 0.8× 401 1.4× 112 0.8× 53 0.5× 11 0.1× 28 728
Stefaan Marcelis Belgium 16 684 1.9× 781 2.7× 347 2.6× 235 2.1× 46 0.6× 36 1.3k
Carlton T. Phelps United States 4 201 0.6× 283 1.0× 81 0.6× 24 0.2× 74 0.9× 6 499

Countries citing papers authored by David Bong

Since Specialization
Citations

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

Fields of papers citing papers by David Bong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Bong

This figure shows the co-authorship network connecting the top 25 collaborators of David Bong. A scholar is included among the top collaborators of David Bong 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 David Bong. David Bong 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.
Vicente‐Rabaneda, Esther F., Ingrid Möller, Núria Montés, et al.. (2025). A Proposal for a New Lung Ultrasound Score in Rheumatoid Arthritis: The Reliability of Lung Ultrasound for Rheumatoid Arthritis-Associated Interstitial Lung Disease Diagnosis. Journal of Clinical Medicine. 14(11). 3701–3701.
2.
Vicente‐Rabaneda, Esther F., Laura Cardeñoso, David Bong, et al.. (2024). Effectiveness and Safety of the COVID-19 Vaccine in Patients with Rheumatoid Arthritis in a Real-World Setting. Vaccines. 12(6). 672–672. 1 indexed citations
3.
Brydges, Ryan, et al.. (2024). Online vs in-person musculoskeletal ultrasound course: a cohort comparison study. The Ultrasound Journal. 16(1). 30–30.
4.
Mandl, Péter, Maribel Miguel‐Pérez, Juan Blasi, et al.. (2023). Characterization of digital annular pulleys and their entheses: an ultrasonographic study with anatomical and histological correlations. Lara D. Veeken. 63(11). 3050–3055. 1 indexed citations
5.
Bong, David, et al.. (2022). Ultrasound Evaluation of Interstitial Lung Disease in Rheumatoid Arthritis and Autoimmune Diseases. SHILAP Revista de lepidopterología. 11(3). S316–S322. 3 indexed citations
6.
Vicente‐Rabaneda, Esther F., et al.. (2022). Ultrasound evaluation of interstitial lung disease in rheumatoid arthritis and autoimmune diseases. European Journal of Rheumatology. 6 indexed citations
7.
Vicente‐Rabaneda, Esther F., David Bong, Santos Castañeda, & Ingrid Möller. (2021). Use of ultrasound to diagnose and monitor interstitial lung disease in rheumatic diseases. Clinical Rheumatology. 40(9). 3547–3564. 18 indexed citations
8.
9.
Möller, Ingrid, et al.. (2018). Sonoanatomic Fundamentals of Musculoskeletal Ultrasound. Indian Journal of Rheumatology. 13(1S). 1 indexed citations
10.
Tamborrini, Giorgio, Ingrid Möller, David Bong, et al.. (2017). The Rotator Interval – A Link Between Anatomy and Ultrasound. SHILAP Revista de lepidopterología. 3(3). E107–E116. 24 indexed citations
11.
Mandl, Péter, David Bong, P Bálint, et al.. (2017). Sonographic and Anatomic Description of the Subtalar Joint. Ultrasound in Medicine & Biology. 44(1). 119–123. 2 indexed citations
12.
Janta, I., Esperanza Naredo, Juan Carlos Nieto‐González, et al.. (2016). How does a cadaver model work for testing ultrasound diagnostic capability for rheumatic-like tendon damage?. Rheumatology International. 36(6). 863–869. 1 indexed citations
13.
Balius, Ramón, et al.. (2014). Sonographic Evaluation of the Distal Iliopsoas Tendon Using a New Approach. Journal of Ultrasound in Medicine. 33(11). 2021–2030. 11 indexed citations
14.
Balius, Ramón, Gil Rodas, Carles Pedret, et al.. (2014). Soleus muscle injury: sensitivity of ultrasound patterns. Skeletal Radiology. 43(6). 805–812. 33 indexed citations
15.
Kissin, Eugene Y., Jingbo Niu, Péter Bálint, et al.. (2013). Musculoskeletal Ultrasound Training and Competency Assessment Program for Rheumatology Fellows. Journal of Ultrasound in Medicine. 32(10). 1735–1743. 32 indexed citations
16.
Fuente, Javier de la, et al.. (2012). Minimally invasive ultrasound‐guided carpal tunnel release: A cadaver study. Journal of Clinical Ultrasound. 41(2). 101–107. 18 indexed citations
17.
Naredo, Esperanza, Ingrid Möller, Alfonso Corrales, et al.. (2012). Automated radiofrequency-based US measurement of common carotid intima-media thickness in RA patients treated with synthetic vs synthetic and biologic DMARDs. Lara D. Veeken. 52(2). 376–381. 12 indexed citations
18.
Naredo, Esperanza, Maria Antonietta D’Agostino, Richard J. Wakefield, et al.. (2012). Reliability of a consensus-based ultrasound score for tenosynovitis in rheumatoid arthritis. Annals of the Rheumatic Diseases. 72(8). 1328–1334. 196 indexed citations
19.
Bong, David, et al.. (2011). Ligaments of the Wrist, Ankle and Foot: Sonoanatomy and Sonopathology. Current Rheumatology Reviews. 7(3). 212–230.
20.
Möller, Ingrid, David Bong, Esperanza Naredo, et al.. (2008). Ultrasound in the study and monitoring of osteoarthritis. Osteoarthritis and Cartilage. 16. S4–S7. 142 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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