Renée Lampe

1.5k total citations
90 papers, 1.0k citations indexed

About

Renée Lampe is a scholar working on Psychiatry and Mental health, Neurology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Renée Lampe has authored 90 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Psychiatry and Mental health, 22 papers in Neurology and 20 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Renée Lampe's work include Cerebral Palsy and Movement Disorders (29 papers), Neonatal and fetal brain pathology (18 papers) and Traumatic Brain Injury and Neurovascular Disturbances (13 papers). Renée Lampe is often cited by papers focused on Cerebral Palsy and Movement Disorders (29 papers), Neonatal and fetal brain pathology (18 papers) and Traumatic Brain Injury and Neurovascular Disturbances (13 papers). Renée Lampe collaborates with scholars based in Germany, Russia and Australia. Renée Lampe's co-authors include Ana Alves-Pinto, Varvara Turova, Ludger Gerdesmeyer, Stefan Wagenpfeil, Markus Maier, Markus Loew, Jan D. Rompe, M. Haake, Romain Seil and Klaus Wörtler and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Renée Lampe

87 papers receiving 951 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renée Lampe Germany 16 363 204 187 159 138 90 1.0k
Seong Hoon Lim South Korea 20 316 0.9× 250 1.2× 50 0.3× 114 0.7× 257 1.9× 105 1.4k
John R. Green United States 17 214 0.6× 157 0.8× 104 0.6× 119 0.7× 86 0.6× 39 845
Massimiliano Mangone Italy 26 596 1.6× 272 1.3× 483 2.6× 348 2.2× 302 2.2× 108 1.9k
C. M. Wiles United Kingdom 21 181 0.5× 182 0.9× 119 0.6× 298 1.9× 238 1.7× 60 1.2k
Gerry Boyle Ireland 16 194 0.5× 108 0.5× 58 0.3× 77 0.5× 57 0.4× 50 813
Luc Janssens Belgium 21 217 0.6× 408 2.0× 271 1.4× 332 2.1× 286 2.1× 77 1.4k
Devon I. Rubin United States 19 418 1.2× 130 0.6× 66 0.4× 242 1.5× 461 3.3× 81 1.6k
Erisela Qerama Denmark 22 200 0.6× 688 3.4× 37 0.2× 82 0.5× 278 2.0× 41 1.5k
Gea Drost Netherlands 25 128 0.4× 111 0.5× 54 0.3× 509 3.2× 534 3.9× 101 2.0k
Véronique Feipel Belgium 24 902 2.5× 81 0.4× 211 1.1× 316 2.0× 76 0.6× 159 1.7k

Countries citing papers authored by Renée Lampe

Since Specialization
Citations

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

Fields of papers citing papers by Renée Lampe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renée Lampe

This figure shows the co-authorship network connecting the top 25 collaborators of Renée Lampe. A scholar is included among the top collaborators of Renée Lampe 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 Renée Lampe. Renée Lampe 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.
Sidorenko, Irina, Andrey Kovtanyuk, Ursula Felderhoff‐Müser, et al.. (2025). Numerical estimation of optimal limits of cerebral blood flow and oxygen partial pressure in brain tissue of preterm infants. Computer Methods and Programs in Biomedicine. 270. 108984–108984. 1 indexed citations
2.
Sidorenko, Irina, et al.. (2025). Motor-Sensory Learning in Children with Disabilities: Does Piano Practice Help?. Children. 12(3). 335–335. 1 indexed citations
3.
Kovtanyuk, Andrey, et al.. (2024). Interactive Software for Simulation of Oxygen Transport from Capillaries to Brain Tissue of Preterm Infants. EPiC series in computing. 104. 175–164. 1 indexed citations
4.
Sidorenko, Irina, et al.. (2024). A Rule-Based Parser in Comparison with Statistical Neuronal Approaches in Terms of Grammar Competence. Applied Sciences. 15(1). 87–87.
5.
Ziegler, Wolfram, Theresa Schölderle, Bettina Brendel, et al.. (2023). Speech and Nonspeech Parameters in the Clinical Assessment of Dysarthria: A Dimensional Analysis. Brain Sciences. 13(1). 113–113. 8 indexed citations
6.
Kovtanyuk, Andrey, Varvara Turova, Irina Sidorenko, A. Yu. Chebotarëv, & Renée Lampe. (2022). Modeling of the cerebral blood circulation in a capillary network accounting for the influence of the endothelial surface layer. Computer Methods and Programs in Biomedicine. 224. 107008–107008. 1 indexed citations
7.
Kovtanyuk, Andrey, et al.. (2022). Modeling of Cerebral Blood Flow Autoregulation Using Mathematical Control Theory. Mathematics. 10(12). 2060–2060. 3 indexed citations
8.
Turova, Varvara, et al.. (2022). Glycocalyx Sensing with a Mathematical Model of Acoustic Shear Wave Biosensor. Bioengineering. 9(9). 462–462. 1 indexed citations
9.
Sidorenko, Irina, Varvara Turova, Esther Rieger‐Fackeldey, et al.. (2022). Accounting for arterial and capillary blood gases for calculation of cerebral blood flow in preterm infants. European Journal of Pediatrics. 181(5). 2087–2096. 2 indexed citations
10.
Maiti, Kiran Sankar, et al.. (2021). Detection of Disease-Specific Volatile Organic Compounds Using Infrared Spectroscopy. MDPI (MDPI AG). 15–15. 6 indexed citations
11.
Kovtanyuk, Andrey, A. Yu. Chebotarëv, Varvara Turova, Irina Sidorenko, & Renée Lampe. (2021). Non-Stationary Model of Cerebral Oxygen Transport with Unknown Sources. Mathematics. 9(8). 910–910.
12.
Sidorenko, Irina, Varvara Turova, Esther Rieger‐Fackeldey, et al.. (2021). Mathematical modeling of the hematocrit influence on cerebral blood flow in preterm infants. PLoS ONE. 16(12). e0261819–e0261819. 5 indexed citations
13.
Alves-Pinto, Ana, et al.. (2020). Automatic analysis method of 3D images in patients with scoliosis by quantifying asymmetry in transverse contours. Journal of Applied Biomedicine. 40(4). 1486–1498. 9 indexed citations
14.
Kovtanyuk, Andrey, A. Yu. Chebotarëv, Nikolai D. Botkin, et al.. (2020). Nonstationary Model of Oxygen Transport in Brain Tissue. Computational and Mathematical Methods in Medicine. 2020. 1–9. 8 indexed citations
15.
Kovtanyuk, Andrey, A. Yu. Chebotarëv, Nikolai D. Botkin, et al.. (2019). Continuum model of oxygen transport in brain. Journal of Mathematical Analysis and Applications. 474(2). 1352–1363. 11 indexed citations
16.
Alves-Pinto, Ana, et al.. (2019). A Noninvasive 3D Body Scanner and Software Tool towards Analysis of Scoliosis. BioMed Research International. 2019. 1–15. 16 indexed citations
17.
Botkin, Nikolai D., Andrey Kovtanyuk, Varvara Turova, Irina Sidorenko, & Renée Lampe. (2019). Accounting for Tube Hematocrit in Modeling of Blood Flow in Cerebral Capillary Networks. Computational and Mathematical Methods in Medicine. 2019. 1–10. 8 indexed citations
18.
Alves-Pinto, Ana, et al.. (2018). Characteristics of Lower Leg Muscle Activity in Patients with Cerebral Palsy during Cycling on an Ergometer. BioMed Research International. 2018. 1–8. 6 indexed citations
19.
Lampe, Renée, et al.. (2016). Altered lower leg muscle activation patterns in patients with cerebral palsy during cycling on an ergometer. Dove Medical Press (Taylor and Francis Group). 1 indexed citations
20.
Schölderle, Theresa, Anja Staiger, Renée Lampe, & Wolfram Ziegler. (2012). Dysarthria Syndromes in Adult Cerebral Palsy. 20(4). 100. 6 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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