Luise Angelini

2.6k total citations
10 papers, 325 citations indexed

About

Luise Angelini is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Luise Angelini has authored 10 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Physiology and 3 papers in Immunology. Recurrent topics in Luise Angelini's work include Telomeres, Telomerase, and Senescence (4 papers), DNA Repair Mechanisms (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). Luise Angelini is often cited by papers focused on Telomeres, Telomerase, and Senescence (4 papers), DNA Repair Mechanisms (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). Luise Angelini collaborates with scholars based in United States, Italy and Netherlands. Luise Angelini's co-authors include Laura J. Niedernhofer, Paul D. Robbins, Matthew J. Yousefzadeh, Christin E. Burd, Jing Zhao, Sara J. McGowan, Jonathan Kato, Erin A. Wade, Aditi U. Gurkar and Mariah F. Calubag and has published in prestigious journals such as The FASEB Journal, Aging Cell and EBioMedicine.

In The Last Decade

Luise Angelini

8 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luise Angelini United States	5	196	133	72	66	35	10	325
Jonathan Kato United States	4	198 1.0×	140 1.1×	64 0.9×	57 0.9×	27 0.8×	7	340
Erin A. Wade United States	4	146 0.7×	129 1.0×	52 0.7×	46 0.7×	28 0.8×	4	267
Willemijn M. Passtoors Netherlands	8	86 0.4×	159 1.2×	60 0.8×	119 1.8×	16 0.5×	8	329
Ayush Midha United States	4	181 0.9×	144 1.1×	55 0.8×	39 0.6×	7 0.2×	4	395
Vaja Chipashvili United States	4	155 0.8×	117 0.9×	62 0.9×	36 0.5×	6 0.2×	5	371
Novella Guidi United States	7	207 1.1×	147 1.1×	89 1.2×	62 0.9×	11 0.3×	8	458
Jyung Mean Son United States	8	160 0.8×	315 2.4×	46 0.6×	36 0.5×	20 0.6×	8	460
Céline Cudejko France	7	121 0.6×	128 1.0×	98 1.4×	23 0.3×	13 0.4×	7	304
Thais Peclat United States	11	63 0.3×	61 0.5×	41 0.6×	15 0.2×	24 0.7×	21	362

Countries citing papers authored by Luise Angelini

Since Specialization

Citations

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

Fields of papers citing papers by Luise Angelini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luise Angelini

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

All Works

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10 of 10 papers shown

Zhang, Lei, et al.. (2026). Polyunsaturated lipid senolytics exploit a ferroptotic vulnerability in senescent cells. 100004–100004.

Zhang, Tianpeng, Ryan O’Kelly, Luise Angelini, et al.. (2025). Identification of miR-106b-5p as a senolytic miRNA. EBioMedicine. 117. 105810–105810.

Narasimhan, Akilavalli, Seok Hong Min, Laura Lee Johnson, et al.. (2024). The Ercc1^−/Δ mouse model of XFE progeroid syndrome undergoes accelerated retinal degeneration. Aging Cell. 24(3). e14419–e14419. 2 indexed citations

Yousefzadeh, Matthew J., Ryan O’Kelly, Erin A. Wade, et al.. (2023). Failure to Repair Endogenous DNA Damage in β-Cells Causes Adult-Onset Diabetes in Mice. PubMed. 1(1). 20230015–20230015. 4 indexed citations

Zhang, Lei, Brian M. Hughes, Gregory Tombline, et al.. (2022). FUCOIDANS ARE NOVEL SENOTHERAPEUTICS THAT ENHANCE SIRT6 AND DNA REPAIR ACTIVITY. Innovation in Aging. 6(Supplement_1). 732–732. 2 indexed citations

Zhang, Lei, Jing Zhao, Xiaodong Mu, et al.. (2021). Novel small molecule inhibition of IKK/NF‐κB activation reduces markers of senescence and improves healthspan in mouse models of aging. Aging Cell. 20(12). e13486–e13486. 49 indexed citations

Dou, Yan, Martin Darvas, Julie Mathieu, et al.. (2020). Development of an IGF1R longevity variant mouse line using CRISPR/Cas9 genome editing. PubMed. 3(1). 1 indexed citations

Yousefzadeh, Matthew J., Jing Zhao, Erin A. Wade, et al.. (2020). Tissue specificity of senescent cell accumulation during physiologic and accelerated aging of mice. Aging Cell. 19(3). e13094–e13094. 227 indexed citations

Flores, Rafael R., Eun Young Kim, Consuelo M. López de Padilla, et al.. (2019). Adenoviral gene transfer of a single‐chain IL‐23 induces psoriatic arthritis–like symptoms in NOD mice. The FASEB Journal. 33(8). 9505–9515. 7 indexed citations

10.

Yousefzadeh, Matthew J., et al.. (2018). Mouse Models of Accelerated Cellular Senescence. Methods in molecular biology. 1896. 203–230. 33 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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