Ripudaman Singh

1.3k total citations
38 papers, 876 citations indexed

About

Ripudaman Singh is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology and Physiology. According to data from OpenAlex, Ripudaman Singh has authored 38 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pediatrics, Perinatology and Child Health, 16 papers in Molecular Biology and 7 papers in Physiology. Recurrent topics in Ripudaman Singh's work include Prenatal Screening and Diagnostics (20 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Fetal and Pediatric Neurological Disorders (7 papers). Ripudaman Singh is often cited by papers focused on Prenatal Screening and Diagnostics (20 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Fetal and Pediatric Neurological Disorders (7 papers). Ripudaman Singh collaborates with scholars based in Denmark, United States and New Zealand. Ripudaman Singh's co-authors include Steen Kølvraa, Lotte Hatt, Niels Uldbjerg, Suresh I. S. Rattan, Woo Jung Lee, Sharada Kolekar, Gordon W. Rewcastle, Peter R. Shepherd, William A. Denny and Christina M. Buchanan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical Journal and International Journal of Molecular Sciences.

In The Last Decade

Ripudaman Singh

37 papers receiving 846 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ripudaman Singh Denmark 17 381 276 106 104 92 38 876
Shihong Ma China 15 528 1.4× 54 0.2× 81 0.8× 144 1.4× 266 2.9× 40 1.1k
Yingying Jia China 12 2.1k 5.5× 164 0.6× 58 0.5× 384 3.7× 20 0.2× 35 2.4k
Shinpei Yamaguchi Japan 18 1.9k 4.9× 154 0.6× 73 0.7× 508 4.9× 143 1.6× 43 2.2k
Aurora Sánchez Spain 25 810 2.1× 630 2.3× 42 0.4× 862 8.3× 40 0.4× 91 1.9k
Kristine Williams Denmark 10 1.7k 4.5× 96 0.3× 155 1.5× 291 2.8× 43 0.5× 13 1.9k
M.D. Werner United States 24 856 2.2× 1.1k 4.0× 59 0.6× 268 2.6× 14 0.2× 82 2.8k
Chia‐Hui Lin Taiwan 18 453 1.2× 97 0.4× 49 0.5× 81 0.8× 16 0.2× 71 1.0k
Martin Bachman United Kingdom 15 1.6k 4.2× 106 0.4× 37 0.3× 226 2.2× 48 0.5× 22 1.8k
Santiago Uribe‐Lewis United Kingdom 14 1.3k 3.5× 222 0.8× 127 1.2× 311 3.0× 11 0.1× 24 1.6k
Gohar Rahimi Germany 19 614 1.6× 108 0.4× 84 0.8× 80 0.8× 9 0.1× 61 1.5k

Countries citing papers authored by Ripudaman Singh

Since Specialization
Citations

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

Fields of papers citing papers by Ripudaman Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ripudaman Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Ripudaman Singh. A scholar is included among the top collaborators of Ripudaman Singh 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 Ripudaman Singh. Ripudaman Singh 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.
6.
7.
Dhaliwal, Harpal S., Ripudaman Singh, Rajan Sharma, et al.. (2021). Perception of Illness and Its Association with Treatment Willingness in Patients with Newly Diagnosed Nonalcoholic Fatty Liver Disease. Digestive Diseases and Sciences. 66(12). 4197–4207. 2 indexed citations
8.
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
9.
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
10.
Grando, Adela, Davide Sottara, Ripudaman Singh, et al.. (2020). Pilot evaluation of sensitive data segmentation technology for privacy. International Journal of Medical Informatics. 138. 104121–104121. 5 indexed citations
11.
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
12.
13.
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
14.
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
15.
16.
Kendall, Jackie D., Kit Yee Tsang, Raphaël Frédérick, et al.. (2011). Novel pyrazolo[1,5-a]pyridines as p110α-selective PI3 kinase inhibitors: Exploring the benzenesulfonohydrazide SAR. Bioorganic & Medicinal Chemistry. 20(1). 58–68. 30 indexed citations
17.
Singh, Ripudaman, Steen Kølvraa, Peter Bross, et al.. (2010). Anti-Inflammatory Heat Shock Protein 70 Genes are Positively Associated with Human Survival. Current Pharmaceutical Design. 16(7). 796–801. 22 indexed citations
18.
Rattan, Suresh I. S. & Ripudaman Singh. (2008). Progress & Prospects: Gene therapy in aging. Gene Therapy. 16(1). 3–9. 14 indexed citations
19.
Singh, Ripudaman, Steen Kølvraa, Peter Bross, et al.. (2004). Association Between Low Self-Rated Health and Heterozygosity for −110A > C Polymorphism in the Promoter Region of HSP70-1 in Aged Danish Twins. Biogerontology. 5(3). 169–176. 23 indexed citations
20.
Singh, Ripudaman, Anders Lade Nielsen, Marianne Johansen, & Arne Lund Jørgensen. (2003). Genetic polymorphism and sequence evolution of an alternatively spliced exon of the glial fibrillary acidic protein gene, GFAP☆. Genomics. 82(2). 185–193. 16 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Shihong Ma Breakdown of academic impact, for papers by Yingying Jia Breakdown of academic impact, for papers by Shinpei Yamaguchi Breakdown of academic impact, for papers by Aurora Sánchez Breakdown of academic impact, for papers by Kristine Williams Breakdown of academic impact, for papers by M.D. Werner Breakdown of academic impact, for papers by Chia‐Hui Lin Breakdown of academic impact, for papers by Martin Bachman Breakdown of academic impact, for papers by Santiago Uribe‐Lewis Breakdown of academic impact, for papers by Gohar Rahimi
Rankless by CCL
2026