Ines Foessl

452 total citations · 1 hit paper
15 papers, 230 citations indexed

About

Ines Foessl is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ines Foessl has authored 15 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Ines Foessl's work include MicroRNA in disease regulation (7 papers), Bone health and treatments (3 papers) and Bone health and osteoporosis research (3 papers). Ines Foessl is often cited by papers focused on MicroRNA in disease regulation (7 papers), Bone health and treatments (3 papers) and Bone health and osteoporosis research (3 papers). Ines Foessl collaborates with scholars based in Austria, Netherlands and Italy. Ines Foessl's co-authors include Barbara Obermayer‐Pietsch, Hans Peter Dimai, Petra Kotzbeck, Christoph Haudum, Olivia Trummer, Anna Schwarz, Mayreli Ortiz, Katherine J. Motyl, Douglas P. Kiel and Nicole G. Sommer and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Lipid Research and Clinical Orthopaedics and Related Research.

In The Last Decade

Ines Foessl

13 papers receiving 227 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.

Long-term and sequential treatment for osteoporosis

2023 137 citations Ines Foessl, Hans Peter Dimai et al. Nature Reviews Endocrinology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ines Foessl Austria	8	142	59	51	37	35	15	230
Ying-Shan Shen China	5	154 1.1×	74 1.3×	44 0.9×	39 1.1×	60 1.7×	5	267
Iratxe Macías Spain	8	113 0.8×	32 0.5×	27 0.5×	54 1.5×	28 0.8×	11	231
Tuan‐Hui Chen China	2	246 1.7×	40 0.7×	121 2.4×	43 1.2×	23 0.7×	2	338
Guowei Shang China	12	205 1.4×	37 0.6×	138 2.7×	66 1.8×	22 0.6×	24	415
Guihua Tan China	10	104 0.7×	20 0.3×	33 0.6×	26 0.7×	29 0.8×	17	296
Sara Steinmann Germany	8	97 0.7×	75 1.3×	33 0.6×	12 0.3×	51 1.5×	13	269
Qichan Hu United States	4	132 0.9×	19 0.3×	67 1.3×	29 0.8×	25 0.7×	7	306
Junqi Cui China	10	84 0.6×	33 0.6×	16 0.3×	41 1.1×	20 0.6×	22	250
Zengfeng Xin China	10	94 0.7×	25 0.4×	28 0.5×	49 1.3×	59 1.7×	20	293

Countries citing papers authored by Ines Foessl

Since Specialization

Citations

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

Fields of papers citing papers by Ines Foessl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ines Foessl

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

All Works

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15 of 15 papers shown

Trummer, Olivia, Ines Foessl, Verena Theiler‐Schwetz, et al.. (2024). Serum Expression of miR-23a-3p and miR-424-5p Indicate Specific Polycystic Ovary Syndrome Phenotypes: A Pilot Study. International Journal of Molecular Sciences. 25(6). 3205–3205. 1 indexed citations

Foessl, Ines, Hans Peter Dimai, & Barbara Obermayer‐Pietsch. (2023). Long-term and sequential treatment for osteoporosis. Nature Reviews Endocrinology. 19(9). 520–533. 137 indexed citations breakdown →

Ortiz, Mayreli, Miriam Jauset‐Rubio, Olivia Trummer, et al.. (2023). Generic Platform for the Multiplexed Targeted Electrochemical Detection of Osteoporosis-Associated Single Nucleotide Polymorphisms Using Recombinase Polymerase Solid-Phase Primer Elongation and Ferrocene-Modified Nucleoside Triphosphates. ACS Central Science. 9(8). 1591–1602. 16 indexed citations

Sommer, Nicole G., Uwe Yacine Schwarze, Iva Brčić, et al.. (2023). Mg-Zn-Ca Alloy (ZX00) Screws Are Resorbed at a Mean of 2.5 Years After Medial Malleolar Fracture Fixation: Follow-up of a First-in-humans Application and Insights From a Sheep Model. Clinical Orthopaedics and Related Research. 482(1). 184–197. 8 indexed citations

Haudum, Christoph, Katharina Eberhard, Ines Foessl, et al.. (2023). AMH in Males: Effects of Body Size and Composition on Serum AMH Levels. Journal of Clinical Medicine. 12(13). 4478–4478.

Kolesnik, Ewald, H. Maechler, Brigitte Pelzmann, et al.. (2022). miR-1183 Is a Key Marker of Remodeling upon Stretch and Tachycardia in Human Myocardium. International Journal of Molecular Sciences. 23(13). 6962–6962. 2 indexed citations

Schanda, Jakob E., Barbara Obermayer‐Pietsch, Gerhard Sommer, et al.. (2022). Biomechanical properties of a suture anchor system from human allogenic mineralized cortical bone matrix for rotator cuff repair. BMC Musculoskeletal Disorders. 23(1). 422–422. 2 indexed citations

Trummer, Olivia, Ines Foessl, Natascha Schweighofer, et al.. (2022). Expression Profiles of miR-22-5p and miR-142-3p Indicate Hashimoto’s Disease and Are related to Thyroid Antibodies. Genes. 13(2). 171–171. 13 indexed citations

Kotzbeck, Petra, Ulrike Taschler, Christoph Haudum, et al.. (2022). Rosiglitazone Reverses Inflammation in Epididymal White Adipose Tissue in Hormone-Sensitive Lipase-Knockout Mice. Journal of Lipid Research. 64(1). 100305–100305. 10 indexed citations

10.

Koromani, Fjorda, Nerea Alonso, Maria Luisa Brandi, et al.. (2021). The “GEnomics of Musculo Skeletal Traits TranslatiOnal NEtwork”: Origins, Rationale, Organization, and Prospects. Frontiers in Endocrinology. 12. 709815–709815. 3 indexed citations

11.

Foessl, Ines, Christoph Haudum, Ruth Prassl, et al.. (2021). miRNAs as Regulators of the Early Local Response to Burn Injuries. International Journal of Molecular Sciences. 22(17). 9209–9209. 12 indexed citations

12.

Kiel, Douglas P., Andrew R. Zullo, Stefan Weiß, et al.. (2020). miRNA Mechanisms Underlying the Association of Beta Blocker Use and Bone Mineral Density. Journal of Bone and Mineral Research. 36(1). 110–122. 10 indexed citations

13.

Foessl, Ines, Andrea Groselj‐Strele, Harald Dobnig, et al.. (2020). Generation of human mesenchymal stem cells lacking diabetoporosity-associated miRNAs using CRISPR/Cas9. Osteologie/Osteology. 1 indexed citations

14.

Foessl, Ines, Petra Kotzbeck, & Barbara Obermayer‐Pietsch. (2019). miRNAs as novel biomarkers for bone related diseases. Journal of Laboratory and Precision Medicine. 4. 2–2. 15 indexed citations

15.

Obermayer‐Pietsch, Barbara, et al.. (2018). Diabetoporosity—diabetes and the bone. Journal of Laboratory and Precision Medicine. 3. 98–98.

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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