Daniel J.C. Berkhout

657 total citations
17 papers, 449 citations indexed

About

Daniel J.C. Berkhout is a scholar working on Nutrition and Dietetics, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Daniel J.C. Berkhout has authored 17 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nutrition and Dietetics, 8 papers in Biomedical Engineering and 5 papers in Molecular Biology. Recurrent topics in Daniel J.C. Berkhout's work include Advanced Chemical Sensor Technologies (8 papers), Infant Nutrition and Health (5 papers) and Neonatal and Maternal Infections (4 papers). Daniel J.C. Berkhout is often cited by papers focused on Advanced Chemical Sensor Technologies (8 papers), Infant Nutrition and Health (5 papers) and Neonatal and Maternal Infections (4 papers). Daniel J.C. Berkhout collaborates with scholars based in Netherlands, Belgium and United States. Daniel J.C. Berkhout's co-authors include Nanne K.H. de Boer, Marc A. Benninga, Hendrik J. Niemarkt, Tim G. J. de Meij, Anton H. van Kaam, Mirjam M. van Weissenbruch, Richard A. van Lingen, Boris W. Kramer, Christian V. Hulzebos and Willem P. de Boode and has published in prestigious journals such as Clinical Infectious Diseases, Gut and Sensors.

In The Last Decade

Daniel J.C. Berkhout

17 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J.C. Berkhout Netherlands 13 198 155 119 106 88 17 449
Kim D. G. van de Kant Netherlands 17 41 0.2× 332 2.1× 438 3.7× 114 1.1× 69 0.8× 26 878
Alessandra Reali Italy 11 259 1.3× 10 0.1× 86 0.7× 95 0.9× 46 0.5× 19 423
Gregory R. Young United Kingdom 12 263 1.3× 11 0.1× 94 0.8× 187 1.8× 21 0.2× 29 496
Ashley Roberts Canada 12 63 0.3× 18 0.1× 188 1.6× 58 0.5× 442 5.0× 42 778
Per Lundquist Sweden 10 75 0.4× 20 0.1× 33 0.3× 72 0.7× 26 0.3× 17 443
C. M. H. H. T. Robroeks Netherlands 15 52 0.3× 426 2.7× 540 4.5× 123 1.2× 16 0.2× 17 932
Beth Enderby United Kingdom 6 39 0.2× 233 1.5× 106 0.9× 82 0.8× 7 0.1× 9 392
Timothy R. Cooper United States 7 253 1.3× 10 0.1× 168 1.4× 10 0.1× 121 1.4× 13 476
Helen Sheehan United States 13 180 0.9× 120 0.8× 152 1.3× 83 0.8× 12 0.1× 20 902
Ulla Edberg Sweden 7 116 0.6× 13 0.1× 41 0.3× 27 0.3× 38 0.4× 7 381

Countries citing papers authored by Daniel J.C. Berkhout

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J.C. Berkhout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J.C. Berkhout. 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 Daniel J.C. Berkhout. The network helps show where Daniel J.C. Berkhout may publish in the future.

Co-authorship network of co-authors of Daniel J.C. Berkhout

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

All Works

17 of 17 papers shown
1.
Berkhout, Daniel J.C., Anat Eck, Sebastian Tims, et al.. (2021). Influence of timing of maternal antibiotic administration during caesarean section on infant microbial colonisation: a randomised controlled trial. Gut. 71(9). 1803–1811. 25 indexed citations
2.
Berkhout, Daniel J.C., Hendrik J. Niemarkt, Hans Weda, et al.. (2020). Optimized sample preparation for fecal volatile organic compound analysis by gas chromatography–mass spectrometry. Metabolomics. 16(10). 112–112. 13 indexed citations
3.
Niemarkt, Hendrik J., Joep P. M. Derikx, Daniel J.C. Berkhout, et al.. (2020). Predictive factors for surgical treatment in preterm neonates with necrotizing enterocolitis: a multicenter case-control study. European Journal of Pediatrics. 180(2). 617–625. 22 indexed citations
4.
Berkhout, Daniel J.C., Hendrik J. Niemarkt, Peter Andriessen, et al.. (2020). Preclinical Detection of Non-catheter Related Late-onset Sepsis in Preterm Infants by Fecal Volatile Compounds Analysis. The Pediatric Infectious Disease Journal. 39(4). 330–335. 11 indexed citations
5.
Niemarkt, Hendrik J., Daniel J.C. Berkhout, Carel F.W. Peeters, et al.. (2020). Profound Pathogen-Specific Alterations in Intestinal Microbiota Composition Precede Late-Onset Sepsis in Preterm Infants: A Longitudinal, Multicenter, Case-Control Study. Clinical Infectious Diseases. 73(1). e224–e232. 31 indexed citations
6.
Berkhout, Daniel J.C., Hendrik J. Niemarkt, Sarah Mann, et al.. (2019). Risk Factors for Late-Onset Sepsis in Preterm Infants: A Multicenter Case-Control Study. Neonatology. 116(1). 42–51. 60 indexed citations
8.
Niemarkt, Hendrik J., Daniel J.C. Berkhout, Anton H. van Kaam, et al.. (2018). Fecal Volatile Organic Compounds in Preterm Infants Are Influenced by Enteral Feeding Composition. Sensors. 18(9). 3037–3037. 12 indexed citations
9.
Bosch, Sofie, Daniel J.C. Berkhout, Ilhame Ben Larbi, Tim G. de Meij, & Nanne K.H. de Boer. (2018). Fecal volatile organic compounds for early detection of colorectal cancer: where are we now?. Journal of Cancer Research and Clinical Oncology. 145(1). 223–234. 34 indexed citations
10.
Berkhout, Daniel J.C., et al.. (2018). Application of Fecal Volatile Organic Compound Analysis in Clinical Practice: Current State and Future Perspectives. Chemosensors. 6(3). 29–29. 19 indexed citations
11.
Berkhout, Daniel J.C., Hendrik J. Niemarkt, Willem P. de Boode, et al.. (2018). Risk Factors for Necrotizing Enterocolitis: A Prospective Multicenter Case-Control Study. Neonatology. 114(3). 277–284. 70 indexed citations
12.
Berkhout, Daniel J.C., et al.. (2018). The potential of gut microbiota and fecal volatile organic compounds analysis as early diagnostic biomarker for necrotizing enterocolitis and sepsis in preterm infants. Expert Review of Gastroenterology & Hepatology. 12(5). 457–470. 23 indexed citations
13.
Berkhout, Daniel J.C., et al.. (2017). Smoking Influences Fecal Volatile Organic Compounds Composition. Clinical Gastroenterology and Hepatology. 16(7). 1168–1169. 9 indexed citations
14.
Berkhout, Daniel J.C., Hendrik J. Niemarkt, Marc A. Benninga, et al.. (2017). Development of severe bronchopulmonary dysplasia is associated with alterations in fecal volatile organic compounds. Pediatric Research. 83(2). 412–419. 27 indexed citations
15.
Berkhout, Daniel J.C., Marc A. Benninga, Paul Brinkman, et al.. (2016). Effects of Sampling Conditions and Environmental Factors on Fecal Volatile Organic Compound Analysis by an Electronic Nose Device. Sensors. 16(11). 1967–1967. 27 indexed citations
16.
Berkhout, Daniel J.C., Hendrik J. Niemarkt, Mirjam M. van Weissenbruch, et al.. (2016). Detection of Sepsis in Preterm Infants by Fecal Volatile Organic Compounds Analysis. Journal of Pediatric Gastroenterology and Nutrition. 65(3). e47–e52. 36 indexed citations
17.
Berkhout, Daniel J.C., E. F. J. de Groot, Marc A. Benninga, et al.. (2016). Sniffing Out Paediatric Gastrointestinal Diseases. Journal of Pediatric Gastroenterology and Nutrition. 63(6). 585–591. 22 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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