Peter Feige

701 total citations
10 papers, 490 citations indexed

About

Peter Feige is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Peter Feige has authored 10 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Genetics. Recurrent topics in Peter Feige's work include Muscle Physiology and Disorders (8 papers), Pluripotent Stem Cells Research (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Peter Feige is often cited by papers focused on Muscle Physiology and Disorders (8 papers), Pluripotent Stem Cells Research (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Peter Feige collaborates with scholars based in Canada, France and United Kingdom. Peter Feige's co-authors include Michael A. Rudnicki, Caroline Brun, Morten Ritso, Yu Xin Wang, Nicolas A. Dumont, Jean‐Marc Renaud, Matthew Triolo, Ryo Fujita, Yan Burelle and Mireille Khacho and has published in prestigious journals such as Nature Communications, Current Biology and Nature Protocols.

In The Last Decade

Peter Feige

10 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Feige Canada	9	422	111	106	78	44	10	490
Erica Yada Japan	12	306 0.7×	85 0.8×	73 0.7×	71 0.9×	16 0.4×	17	387
Xuefeng Sun United States	5	260 0.6×	76 0.7×	82 0.8×	54 0.7×	21 0.5×	5	315
Siham Yennek Denmark	10	286 0.7×	98 0.9×	104 1.0×	26 0.3×	51 1.2×	12	431
Kelly J. Perkins United Kingdom	10	479 1.1×	153 1.4×	51 0.5×	50 0.6×	27 0.6×	13	559
Han Zhu China	13	276 0.7×	44 0.4×	77 0.7×	34 0.4×	54 1.2×	23	409
Maryline Favier France	10	341 0.8×	124 1.1×	57 0.5×	26 0.3×	11 0.3×	14	509
Konstantin Kulebyakin Russia	10	155 0.4×	85 0.8×	87 0.8×	84 1.1×	33 0.8×	34	354
Chiara Bonfanti Italy	8	206 0.5×	35 0.3×	66 0.6×	45 0.6×	20 0.5×	12	277
Florian Barthélémy United States	11	356 0.8×	48 0.4×	44 0.4×	52 0.7×	36 0.8×	24	447
Ines Lahmann Germany	11	286 0.7×	79 0.7×	46 0.4×	34 0.4×	20 0.5×	17	418

Countries citing papers authored by Peter Feige

Since Specialization

Citations

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

Fields of papers citing papers by Peter Feige

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Feige

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

1.

Brun, Caroline, Alexander Y. Lin, Peter Feige, et al.. (2024). Intrinsic Muscle Stem Cell Dysfunction Contributes to Impaired Regeneration in the mdx Mouse. Journal of Cachexia Sarcopenia and Muscle. 16(1). e13682–e13682. 5 indexed citations

2.

Baker, Nicole M., Matthew Triolo, Sarah Larrigan, et al.. (2022). The mitochondrial protein OPA1 regulates the quiescent state of adult muscle stem cells. Cell stem cell. 29(9). 1315–1332.e9. 55 indexed citations

3.

Brun, Caroline, Marie‐Claude Sincennes, Alexander Y. Lin, et al.. (2022). GLI3 regulates muscle stem cell entry into GAlert and self-renewal. Nature Communications. 13(1). 3961–3961. 26 indexed citations

4.

Feige, Peter, Eve C. Tsai, & Michael A. Rudnicki. (2021). Analysis of human satellite cell dynamics on cultured adult skeletal muscle myofibers. Skeletal Muscle. 11(1). 1–1. 14 indexed citations

5.

Feige, Peter & Michael A. Rudnicki. (2020). Isolation of satellite cells and transplantation into mice for lineage tracing in muscle. Nature Protocols. 15(3). 1082–1097. 19 indexed citations

6.

Wang, Yu Xin, Peter Feige, Caroline Brun, et al.. (2019). EGFR-Aurka Signaling Rescues Polarity and Regeneration Defects in Dystrophin-Deficient Muscle Stem Cells by Increasing Asymmetric Divisions. Cell stem cell. 24(3). 419–432.e6. 98 indexed citations

7.

Feige, Peter & Michael A. Rudnicki. (2018). Muscle stem cells. Current Biology. 28(10). R589–R590. 11 indexed citations

8.

Feige, Peter, Caroline Brun, Morten Ritso, & Michael A. Rudnicki. (2018). Orienting Muscle Stem Cells for Regeneration in Homeostasis, Aging, and Disease. Cell stem cell. 23(5). 653–664. 171 indexed citations

9.

Bar‐Nur, Ori, M Gerli, Bruno Di Stefano, et al.. (2018). Direct Reprogramming of Mouse Fibroblasts into Functional Skeletal Muscle Progenitors. Stem Cell Reports. 10(5). 1505–1521. 74 indexed citations

10.

Feige, Peter, et al.. (1973). Zur komplexbildung ausgewählter lanthaniden mit verschiedenen peptiden. Journal of Inorganic and Nuclear Chemistry. 35(9). 3269–3275. 17 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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