Marcel Veltkamp

2.7k total citations
84 papers, 1.4k citations indexed

About

Marcel Veltkamp is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Marcel Veltkamp has authored 84 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Physiology, 56 papers in Pulmonary and Respiratory Medicine and 10 papers in Surgery. Recurrent topics in Marcel Veltkamp's work include Sarcoidosis and Beryllium Toxicity Research (57 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (51 papers) and Occupational exposure and asthma (8 papers). Marcel Veltkamp is often cited by papers focused on Sarcoidosis and Beryllium Toxicity Research (57 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (51 papers) and Occupational exposure and asthma (8 papers). Marcel Veltkamp collaborates with scholars based in Netherlands, Italy and United States. Marcel Veltkamp's co-authors include Jan C. Grutters, Adriane D.M. Vorselaars, Coline H.M. van Moorsel, Montse Janssen Bonás, Henk J.T. Ruven, Vera H.M. Deneer, Ruth G.M. Keijsers, Wim Wuyts, Jules M.M. van den Bosch and Bob Meek and has published in prestigious journals such as New England Journal of Medicine, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Marcel Veltkamp

77 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcel Veltkamp Netherlands 22 882 847 218 199 199 84 1.4k
Andrew G. Nicholson United Kingdom 12 1.1k 1.2× 1.1k 1.2× 244 1.1× 269 1.4× 175 0.9× 21 1.7k
Diane Bouvry France 16 641 0.7× 586 0.7× 138 0.6× 141 0.7× 177 0.9× 46 956
Shinji Motojima Japan 16 520 0.6× 775 0.9× 204 0.9× 130 0.7× 304 1.5× 43 1.3k
Manuel Quaresma Germany 20 2.8k 3.2× 1.2k 1.4× 419 1.9× 163 0.8× 162 0.8× 64 3.1k
M C Iannuzzi United States 18 621 0.7× 500 0.6× 138 0.6× 192 1.0× 49 0.2× 28 945
John B. Hagan United States 19 338 0.4× 393 0.5× 123 0.6× 40 0.2× 533 2.7× 56 1.4k
Yutaka Hirasawa Japan 13 539 0.6× 196 0.2× 136 0.6× 151 0.8× 126 0.6× 27 874
Kana Mizuno Japan 18 168 0.2× 208 0.2× 126 0.6× 132 0.7× 558 2.8× 45 1.0k
Françoise Basset France 12 493 0.6× 422 0.5× 83 0.4× 68 0.3× 134 0.7× 14 918
Jan A. M. van Laar Netherlands 19 267 0.3× 196 0.2× 217 1.0× 121 0.6× 152 0.8× 43 891

Countries citing papers authored by Marcel Veltkamp

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Veltkamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcel Veltkamp

This figure shows the co-authorship network connecting the top 25 collaborators of Marcel Veltkamp. A scholar is included among the top collaborators of Marcel Veltkamp 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 Marcel Veltkamp. Marcel Veltkamp 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.
Baughman, Robert P., Jan C. Grutters, Elyse E. Lower, et al.. (2025). Pulmonary sarcoidosis clinical trial end-points: a Delphi study. European Respiratory Journal. 66(4). 2500943–2500943. 1 indexed citations
2.
Vogels, O.J.M., et al.. (2024). New phenotyping questionnaire for diagnosing sarcoidosis-associated small fiber neuropathy. Brain Communications. 6(5). fcae289–fcae289. 1 indexed citations
4.
Drent, Marjolein, Anne‐Marie Russell, Lesley Ann Saketkoo, et al.. (2024). Breaking barriers: holistic assessment of ability to work in patients with sarcoidosis. The Lancet Respiratory Medicine. 12(11). 848–851. 3 indexed citations
5.
Veltkamp, Marcel. (2024). Clinical trials in pulmonary sarcoidosis; what is needed, what is happening and what is next?. Current Opinion in Pulmonary Medicine. 30(5). 576–582.
6.
Veltkamp, Marcel, et al.. (2023). Biomarkers in Sarcoidosis. Clinics in Chest Medicine. 45(1). 33–43. 5 indexed citations
7.
Karampitsakos, Τheodoros, Daan W. Loth, Iftikhar Nadeem, et al.. (2023). ERS International Congress 2022: highlights from the Interstitial Lung Diseases Assembly. ERJ Open Research. 9(2). 584–2022. 2 indexed citations
8.
Vogels, O.J.M., et al.. (2023). Fully Automatic, Semiautomatic, and Manual Corneal Nerve Fiber Analysis in Patients With Sarcoidosis. Translational Vision Science & Technology. 12(12). 3–3. 3 indexed citations
9.
Ambarus, Carmen A., Jan Damen, Joanne J. van der Vis, et al.. (2023). Simultaneous Assessment of mTORC1, JAK/STAT, and NLRP3 Inflammasome Activation Pathways in Patients with Sarcoidosis. International Journal of Molecular Sciences. 24(16). 12792–12792. 6 indexed citations
10.
Moorsel, Coline H.M. van, et al.. (2023). Improved Survival of IPF patients Treated With Antifibrotic Drugs Compared With Untreated Patients. Lung. 201(4). 335–343. 10 indexed citations
11.
Vis, Joanne J. van der, Louise C. Showe, Andrew V. Kossenkov, et al.. (2022). Telomere dysfunction implicates POT1 in patients with idiopathic pulmonary fibrosis. The Journal of Experimental Medicine. 219(5). 25 indexed citations
12.
Grutters, Jan C., et al.. (2021). Elevated Serum Amyloid a Levels Are not Specific for Sarcoidosis but Associate with a Fibrotic Pulmonary Phenotype. Cells. 10(3). 585–585. 23 indexed citations
13.
Bakker, Annelies L.M., Martin J. Swaans, Marcel Veltkamp, et al.. (2021). Effectiveness and safety of infliximab in cardiac Sarcoidosis. International Journal of Cardiology. 330. 179–185. 25 indexed citations
14.
Zhao, An, Nesrin Moğulkoç, Iain Stewart, et al.. (2021). Pleuroparenchymal fibroelastosis in idiopathic pulmonary fibrosis: Survival analysis using visual and computer-based computed tomography assessment. EClinicalMedicine. 38. 101009–101009. 9 indexed citations
15.
Trapnell, Bruce C., Yoshikazu Inoue, Francesco Bonella, et al.. (2020). Inhaled Molgramostim Therapy in Autoimmune Pulmonary Alveolar Proteinosis. New England Journal of Medicine. 383(17). 1635–1644. 59 indexed citations
16.
Vogels, O.J.M., et al.. (2020). Current View of Diagnosing Small Fiber Neuropathy. Journal of Neuromuscular Diseases. 8(2). 185–207. 38 indexed citations
17.
Seldenrijk, Kees A., Yoshinobu Eishi, Keisuke Uchida, et al.. (2020). Presence ofPropionibacterium acnesin granulomas associates with a chronic disease course in Dutch sarcoidosis patients. ERJ Open Research. 7(1). 486–2020. 15 indexed citations
18.
Bonás, Montse Janssen, et al.. (2020). Biomarkers in the Diagnosis and Prognosis of Sarcoidosis: Current Use and Future Prospects. Frontiers in Immunology. 11. 1443–1443. 111 indexed citations
19.
Veltkamp, Marcel, M. Meijer, Jos Houbraken, et al.. (2020). Home environment exposure assessment in hypersensitivity pneumonitis. Data Archiving and Networked Services (DANS). 795–795. 1 indexed citations
20.
Veltkamp, Marcel, Coline H.M. van Moorsel, Ger T. Rijkers, Henk J.T. Ruven, & J.C. Grutters. (2011). Genetic variation in the Toll‐like receptor gene cluster (TLR10‐TLR1‐TLR6) influences disease course in sarcoidosis. Tissue Antigens. 79(1). 25–32. 49 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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