Jill A. Kreiling

3.4k total citations · 1 hit paper
40 papers, 1.8k citations indexed

About

Jill A. Kreiling is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Jill A. Kreiling has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Cell Biology and 10 papers in Physiology. Recurrent topics in Jill A. Kreiling's work include Telomeres, Telomerase, and Senescence (7 papers), Genomics and Chromatin Dynamics (5 papers) and RNA Research and Splicing (5 papers). Jill A. Kreiling is often cited by papers focused on Telomeres, Telomerase, and Senescence (7 papers), Genomics and Chromatin Dynamics (5 papers) and RNA Research and Splicing (5 papers). Jill A. Kreiling collaborates with scholars based in United States, United Kingdom and Germany. Jill A. Kreiling's co-authors include John M. Sedivy, Steven W. Criscione, Nicola Neretti, Marco De Cecco, Abigail L. Peterson, Stuart F. Goldstein, Nyles W. Charon, Robbert Créton, Sara Hillenmeyer and James A. Gagnon and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Jill A. Kreiling

38 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The role of retrotransposable elements in ageing and age-associated diseases

2021 232 citations Vera Gorbunova, Andrei Seluanov et al. Nature profile →

Peers

Jill A. Kreiling

MB

PS

PHYSI

GENET

AGING

Bettina A. Moser United States

Karol Szafranski Germany

Todd Nystul United States

Siegfried Schloissnig Germany

Aziz Aboobaker United Kingdom

Chau Huynh United States

J. Timothy Westwood Canada

Steven Husson Belgium

Christian Stigloher Germany

Tessa G. Montague United States

Bettina A. Moser United States

Jill A. Kreiling

2.0k ×1.6

MB

212 ×0.6

PS

518 ×1.4

PHYSI

636 ×2.6

GENET

194 ×1.1

AGING

Citations per year, relative to Jill A. Kreiling Jill A. Kreiling (= 1×) peers Bettina A. Moser

Countries citing papers authored by Jill A. Kreiling

Since Specialization

Citations

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

Fields of papers citing papers by Jill A. Kreiling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jill A. Kreiling. 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 Jill A. Kreiling. The network helps show where Jill A. Kreiling may publish in the future.

Co-authorship network of co-authors of Jill A. Kreiling

This figure shows the co-authorship network connecting the top 25 collaborators of Jill A. Kreiling. A scholar is included among the top collaborators of Jill A. Kreiling 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 Jill A. Kreiling. Jill A. Kreiling 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

1.

Wen, Sicheng, et al.. (2026). RNA transcripts in salivary extracellular vesicle cargo isolated from aged populations. Frontiers in Aging. 6. 1707720–1707720.

2.

Kreiling, Jill A., et al.. (2024). Combining supervised and unsupervised analyses to quantify behavioral phenotypes and validate therapeutic efficacy in a triple transgenic mouse model of Alzheimer's disease. Biomedicine & Pharmacotherapy. 181. 117718–117718. 1 indexed citations

3.

Yao, Hongwei, Joselynn Wallace, Abigail L. Peterson, et al.. (2023). Timing and cell specificity of senescence drives postnatal lung development and injury. Nature Communications. 14(1). 273–273. 25 indexed citations

4.

Kreiling, Jill A., et al.. (2023). An 8-cage imaging system for automated analyses of mouse behavior. Scientific Reports. 13(1). 8113–8113. 5 indexed citations

5.

Petrashen, Anna P., et al.. (2023). Regulation of the somatotropic axis by MYC-mediated miRNA repression. Frontiers in Cell and Developmental Biology. 11. 1269860–1269860. 3 indexed citations

6.

Petrashen, Anna P., et al.. (2023). A cluster of X-linked miRNAs are de-repressed with age in mouse liver and target growth hormone signaling. SHILAP Revista de lepidopterología. 4. 1261121–1261121.

7.

Bronikowski, Anne M., Richard P. Meisel, Peggy R. Biga, et al.. (2022). Sex‐specific aging in animals: Perspective and future directions. Aging Cell. 21(2). e13542–e13542. 51 indexed citations

8.

Brown, Cameron A., et al.. (2022). Novel use of FDA-approved drugs identified by cluster analysis of behavioral profiles. Scientific Reports. 12(1). 6120–6120. 14 indexed citations

9.

Gorbunova, Vera, Andrei Seluanov, Paolo Mita, et al.. (2021). The role of retrotransposable elements in ageing and age-associated diseases. Nature. 596(7870). 43–53. 232 indexed citations breakdown →

10.

Kreiling, Jill A., et al.. (2021). A zebrafish model for calcineurin-dependent brain function. Behavioural Brain Research. 416. 113544–113544. 10 indexed citations

11.

Kreiling, Jill A., et al.. (2017). Analysis of Active Transport by Fluorescence Recovery after Photobleaching. Biophysical Journal. 112(8). 1714–1725. 15 indexed citations

12.

Kreiling, Jill A., et al.. (2015). Using in vivo imaging to measure RNA mobility in Xenopus laevis oocytes. Methods. 98. 60–65. 11 indexed citations

13.

Cecco, Marco De, Steven W. Criscione, Sara Hillenmeyer, et al.. (2013). Genomes of replicatively senescent cells undergo global epigenetic changes leading to gene silencing and activation of transposable elements. Aging Cell. 12(2). 247–256. 303 indexed citations

14.

Lopes, Susana S., et al.. (2010). Notch signalling regulates left-right asymmetry through ciliary length control. Development. 137(21). 3625–3632. 96 indexed citations

15.

Dewilde, Sylvia, Bettina Ebner, Evi Vinck, et al.. (2005). The Nerve Hemoglobin of the Bivalve Mollusc Spisula solidissima. Journal of Biological Chemistry. 281(9). 5364–5372. 27 indexed citations

16.

Kreiling, Jill A., Raymond E. Stephens, & Carol L. Reinisch. (2004). A mixture of environmental contaminants increases cAMP-dependent protein kinase in Spisula embryos. Environmental Toxicology and Pharmacology. 19(1). 9–18. 5 indexed citations

17.

Kreiling, Jill A., et al.. (2002). A new invertebrate member of the p53 gene family is developmentally expressed and responds to polychlorinated biphenyls.. Environmental Health Perspectives. 110(4). 377–385. 20 indexed citations

18.

Kreiling, Jill A., et al.. (2000). POLYCHLORINATED BIPHENYLS ARE SELECTIVELY NEUROTOXIC IN THE DEVELOPINGSPISULA SOLIDISSIMAEMBRYO. Journal of Toxicology and Environmental Health. 61(8). 657–675. 8 indexed citations

19.

Créton, Robbert, Jill A. Kreiling, & Lionel F. Jaffe. (2000). Presence and Roles of Calcium Gradients along the Dorsal-Ventral Axis in Drosophila Embryos. Developmental Biology. 217(2). 375–385. 34 indexed citations

20.

Kreiling, Jill A., et al.. (1999). Calcium imaging with chemiluminescence. Microscopy Research and Technique. 46(6). 390–397. 15 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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