Denise Scholtens

10.8k total citations
137 papers, 3.2k citations indexed

About

Denise Scholtens is a scholar working on Obstetrics and Gynecology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Denise Scholtens has authored 137 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Obstetrics and Gynecology, 40 papers in Molecular Biology and 40 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Denise Scholtens's work include Gestational Diabetes Research and Management (41 papers), Birth, Development, and Health (39 papers) and Pregnancy and preeclampsia studies (21 papers). Denise Scholtens is often cited by papers focused on Gestational Diabetes Research and Management (41 papers), Birth, Development, and Health (39 papers) and Pregnancy and preeclampsia studies (21 papers). Denise Scholtens collaborates with scholars based in United States, Canada and United Kingdom. Denise Scholtens's co-authors include William L. Lowe, Boyd E. Metzger, Lynn P. Lowe, Seema A. Khan, Christopher B. Newgard, James R. Bain, Michael J. Muehlbauer, Michael Nodzenski, Anna C. Reisetter and M. Geoffrey Hayes and has published in prestigious journals such as JAMA, Circulation and Nature Communications.

In The Last Decade

Denise Scholtens

125 papers receiving 3.2k citations

Peers

Denise Scholtens

PPCH

ONCOL

Eusebio Chiefari Italy

Maurizio Margaglione Italy

Elizabeth M. Poole United States

Kathryn L. Terry United States

Kara L. Cushing‐Haugen United States

Achim Rody Germany

Jie Jiang China

Susan J. Jordan Australia

Brian Calingaert United States

Woong Ju South Korea

Eusebio Chiefari Italy

Denise Scholtens

1.8k ×1.6

726 ×0.9

348 ×0.5

PPCH

833 ×1.4

461 ×0.9

ONCOL

Citations per year, relative to Denise Scholtens Denise Scholtens (= 1×) peers Eusebio Chiefari

Countries citing papers authored by Denise Scholtens

Since Specialization

Citations

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

Fields of papers citing papers by Denise Scholtens

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denise Scholtens

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

All Works

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20 of 20 papers shown

Mithal, Leena B., Young Ah Goo, Sebastián Otero, et al.. (2025). Cord blood proteomics identifies biomarkers of early-onset neonatal sepsis. JCI Insight. 10(13).

Lowe, William L., Alan Kuang, M. Geoffrey Hayes, Marie‐France Hivert, & Denise Scholtens. (2024). Genetics of glucose homeostasis in pregnancy and postpartum. Diabetologia. 67(12). 2726–2739. 1 indexed citations

Scholtens, Denise, Nicola Lancki, Karla Hemming, David Cella, & Justin D. Smith. (2024). Statistical analysis plan for the NU IMPACT stepped-wedge cluster randomized trial. Contemporary Clinical Trials. 143. 107603–107603. 1 indexed citations

Kuang, Alan, Alicia Huerta‐Chagoya, Denise Scholtens, et al.. (2024). Genome-Wide Polygenic Risk Score Predicts Incident Type 2 Diabetes in Women With History of Gestational Diabetes. Diabetes Care. 47(9). 1622–1629. 5 indexed citations

Venkatesh, Kartik K., Amanda M. Perak, Patrick M. Catalano, et al.. (2024). Impact of hypertensive disorders of pregnancy and gestational diabetes mellitus on offspring cardiovascular health in early adolescence. American Journal of Obstetrics and Gynecology. 232(2). 218.e1–218.e12. 5 indexed citations

Francis, Ellen C., Camille E. Powe, William L. Lowe, et al.. (2023). Refining the diagnosis of Gestational Diabetes Mellitus: A systematic review to inform efforts in precision medicine. medRxiv. 1 indexed citations

Francis, Ellen C., Camille E. Powe, William L. Lowe, et al.. (2023). Refining the diagnosis of gestational diabetes mellitus: a systematic review and meta-analysis. SHILAP Revista de lepidopterología. 3(1). 185–185. 19 indexed citations

Burdett, Kirsten B., Dusten Unruh, Michael Drumm, et al.. (2022). Determining venous thromboembolism risk in patients with adult-type diffuse glioma. Blood. 141(11). 1322–1336. 16 indexed citations

Thompson, William, Robin N. Beaumont, Alan Kuang, et al.. (2021). Fetal alleles predisposing to metabolically favorable adiposity are associated with higher birth weight. Human Molecular Genetics. 31(11). 1762–1775. 3 indexed citations

10.

Liu, Yu, Alan Kuang, James R. Bain, et al.. (2021). Maternal Metabolites Associated With Gestational Diabetes Mellitus and a Postpartum Disorder of Glucose Metabolism. The Journal of Clinical Endocrinology & Metabolism. 106(11). 3283–3294. 17 indexed citations

11.

Thompson, William, Robin N. Beaumont, Alan Kuang, et al.. (2021). Higher maternal adiposity reduces offspring birthweight if associated with a metabolically favourable profile. Diabetologia. 64(12). 2790–2802. 7 indexed citations

12.

Liu, Yu, Alan Kuang, Octavious Talbot, et al.. (2020). Metabolomic and genetic associations with insulin resistance in pregnancy. Diabetologia. 63(9). 1783–1795. 32 indexed citations

13.

Lattie, Emily G., Michael Bass, Sofia F. Garcia, et al.. (2020). Optimizing Health Information Technologies for Symptom Management in Cancer Patients and Survivors: Usability Evaluation. JMIR Formative Research. 4(9). e18412–e18412. 11 indexed citations

14.

Majoros, William H., Young‐Sook Kim, Alejandro Barrera, et al.. (2019). Bayesian estimation of genetic regulatory effects in high-throughput reporter assays. Bioinformatics. 36(2). 331–338. 2 indexed citations

15.

Lee, Oukseub, Richard E. Heinz, David Ivancic, et al.. (2018). Breast Hormone Concentrations in Random Fine-Needle Aspirates of Healthy Women Associate with Cytological Atypia and Gene Methylation. Cancer Prevention Research. 11(9). 557–568. 4 indexed citations

16.

Unruh, Dusten, Snezana Mirkov, Brian Wray, et al.. (2018). Methylation-dependent Tissue Factor Suppression Contributes to the Reduced Malignancy of IDH1-mutant Gliomas. Clinical Cancer Research. 25(2). 747–759. 32 indexed citations

17.

Hughes, Alice E., Michael Nodzenski, Robin N. Beaumont, et al.. (2018). Fetal Genotype and Maternal Glucose Have Independent and Additive Effects on Birth Weight. Diabetes. 67(5). 1024–1029. 33 indexed citations

18.

Lowe, William L., James R. Bain, Michael Nodzenski, et al.. (2017). Maternal BMI and Glycemia Impact the Fetal Metabolome. Diabetes Care. 40(7). 902–910. 83 indexed citations

19.

Putzbach, William, Quan Q. Gao, Monal Patel, et al.. (2017). Many si/shRNAs can kill cancer cells by targeting multiple survival genes through an off-target mechanism. eLife. 6. 46 indexed citations

20.

Costa, Fabrício F., Denise Scholtens, Jared M. Bischof, et al.. (2016). Expression of miR-18a and miR-210 in Normal Breast Tissue as Candidate Biomarkers of Breast Cancer Risk. Cancer Prevention Research. 10(1). 89–97. 28 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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