Lotte Hatt

650 total citations
24 papers, 405 citations indexed

About

Lotte Hatt is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology and Obstetrics and Gynecology. According to data from OpenAlex, Lotte Hatt has authored 24 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pediatrics, Perinatology and Child Health, 8 papers in Molecular Biology and 5 papers in Obstetrics and Gynecology. Recurrent topics in Lotte Hatt's work include Prenatal Screening and Diagnostics (23 papers), Fetal and Pediatric Neurological Disorders (8 papers) and Pregnancy and preeclampsia studies (5 papers). Lotte Hatt is often cited by papers focused on Prenatal Screening and Diagnostics (23 papers), Fetal and Pediatric Neurological Disorders (8 papers) and Pregnancy and preeclampsia studies (5 papers). Lotte Hatt collaborates with scholars based in Denmark, United States and Austria. Lotte Hatt's co-authors include Niels Uldbjerg, Ripudaman Singh, Steen Kølvraa, Ida Vogel, Britta Christensen, Olav Bjørn Petersen, Else Marie Vestergaard, Dorte L. Lildballe, Peter Möller and Lotte Risom and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Lotte Hatt

23 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lotte Hatt Denmark 12 289 146 99 59 58 24 405
Elisavet A. Papageorgiou Cyprus 10 336 1.2× 210 1.4× 124 1.3× 80 1.4× 52 0.9× 13 404
Vincent M. Falco United States 9 275 1.0× 89 0.6× 41 0.4× 139 2.4× 16 0.3× 12 343
Elizabeth Scotchman United Kingdom 9 255 0.9× 104 0.7× 166 1.7× 31 0.5× 28 0.5× 12 335
Laurent Bidat France 10 262 0.9× 73 0.5× 52 0.5× 93 1.6× 8 0.1× 20 314
Pascale Kleinfinger France 12 244 0.8× 93 0.6× 153 1.5× 63 1.1× 29 0.5× 27 334
Glenn Atkinson United Kingdom 8 334 1.2× 87 0.6× 153 1.5× 34 0.6× 7 0.1× 9 497
Dorothee Gänshirt-Ahlert Germany 6 370 1.3× 94 0.6× 69 0.7× 145 2.5× 13 0.2× 6 405
Molka Kammoun Tunisia 9 144 0.5× 86 0.6× 128 1.3× 16 0.3× 26 0.4× 18 368
Achilleas Achilleos Cyprus 10 119 0.4× 62 0.4× 56 0.6× 29 0.5× 40 0.7× 16 197

Countries citing papers authored by Lotte Hatt

Since Specialization
Citations

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

Fields of papers citing papers by Lotte Hatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lotte Hatt

This figure shows the co-authorship network connecting the top 25 collaborators of Lotte Hatt. A scholar is included among the top collaborators of Lotte Hatt 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 Lotte Hatt. Lotte Hatt 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.
Mikkelsen, E., Berthold Huppertz, Ripudaman Singh, et al.. (2023). mRNA and Protein Expression in Human Fetal Membrane Cells: Potential Biomarkers for Preterm Prelabor Rupture of the Fetal Membranes?. International Journal of Molecular Sciences. 24(21). 15826–15826. 3 indexed citations
2.
Hatt, Lotte, Ripudaman Singh, Maria Bach Laursen, et al.. (2023). Clinical interpretation of cell-based non-invasive prenatal testing for monogenic disorders including repeat expansion disorders: potentials and pitfalls. Frontiers in Genetics. 14. 1188472–1188472. 3 indexed citations
3.
Hatt, Lotte, Ripudaman Singh, Estrid Stæhr Hansen, et al.. (2023). Diagnosis of hydatidiform moles using circulating gestational trophoblasts isolated from maternal blood. Placenta. 135. 7–15. 1 indexed citations
4.
Lildballe, Dorte L., Lotte Hatt, Jakob Hedegaard, et al.. (2022). Noninvasive prenatal screening for cystic fibrosis using circulating trophoblasts: Detection of the 50 most common disease‐causing variants. Prenatal Diagnosis. 43(1). 3–13. 10 indexed citations
5.
Hjortshøj, Tina Duelund, Johnny Hindkjær, Lotte Hatt, et al.. (2022). Cell-Based NIPT Detects 47,XXY Genotype in a Twin Pregnancy. Frontiers in Genetics. 13. 842092–842092.
7.
Hatt, Lotte, et al.. (2020). Cell‐based non‐invasive prenatal diagnosis in a pregnancy at risk of cystic fibrosis. Prenatal Diagnosis. 41(2). 234–240. 10 indexed citations
8.
Sunde, Lone, Ripudaman Singh, Estrid Stæhr Hansen, et al.. (2020). Hydatidiform mole diagnostics using circulating gestational trophoblasts isolated from maternal blood. Molecular Genetics & Genomic Medicine. 9(1). e1565–e1565. 3 indexed citations
9.
Singh, Ripudaman, et al.. (2020). The Number of Circulating Fetal Extravillous Trophoblasts Varies from Gestational Week 6 to 20. Reproductive Sciences. 27(12). 2170–2174. 15 indexed citations
10.
Singh, Ripudaman, et al.. (2020). Do fetal extravillous trophoblasts circulate in maternal blood postpartum?. Acta Obstetricia Et Gynecologica Scandinavica. 99(6). 751–756. 11 indexed citations
12.
Singh, Ripudaman, et al.. (2017). Fetal Cells in Maternal Blood For Prenatal Diagnosis: A Love Story Rekindled. Biomarkers in Medicine. 11(9). 705–710. 23 indexed citations
13.
Petersen, Olav Bjørn, Lotte Hatt, Ripudaman Singh, et al.. (2017). P16.02: Detecting aneuploidies and subchromosomal abnormalities by use of circulating fetal trophoblast cells in maternal blood. Ultrasound in Obstetrics and Gynecology. 50(S1). 205–205. 1 indexed citations
14.
Kølvraa, Steen, Ripudaman Singh, Elizabeth A. Normand, et al.. (2016). Genome-wide copy number analysis on DNA from fetal cells isolated from the blood of pregnant women. Prenatal Diagnosis. 36(12). 1127–1134. 67 indexed citations
15.
Hatt, Lotte, Mads Malik Aagaard, Cathrine Carlsen Bach, et al.. (2016). Microarray-Based Analysis of Methylation of 1st Trimester Trisomic Placentas from Down Syndrome, Edwards Syndrome and Patau Syndrome. PLoS ONE. 11(8). e0160319–e0160319. 11 indexed citations
16.
Hatt, Lotte, Mads Malik Aagaard, Jesper Graakjær, et al.. (2015). Microarray-Based Analysis of Methylation Status of CpGs in Placental DNA and Maternal Blood DNA – Potential New Epigenetic Biomarkers for Cell Free Fetal DNA-Based Diagnosis. PLoS ONE. 10(7). e0128918–e0128918. 16 indexed citations
17.
Kirkegaard, Ida, et al.. (2015). The Number of Endovascular Trophoblasts in Maternal Blood Increases Overnight and after Physical Activity: An Experimental Study. Fetal Diagnosis and Therapy. 40(1). 54–58. 7 indexed citations
18.
Hatt, Lotte, et al.. (2014). A new marker set that identifies fetal cells in maternal circulation with high specificity. Prenatal Diagnosis. 34(11). 1066–1072. 31 indexed citations
20.
Hatt, Lotte, Steffen Loft, Lotte Risom, et al.. (2007). OGG1 expression and OGG1 Ser326Cys polymorphism and risk of lung cancer in a prospective study. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 639(1-2). 45–54. 54 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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