Katherine R. Croce

1.0k total citations
9 papers, 662 citations indexed

About

Katherine R. Croce is a scholar working on Cellular and Molecular Neuroscience, Epidemiology and Molecular Biology. According to data from OpenAlex, Katherine R. Croce has authored 9 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 4 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in Katherine R. Croce's work include Autophagy in Disease and Therapy (4 papers), Genetic Neurodegenerative Diseases (3 papers) and Phagocytosis and Immune Regulation (2 papers). Katherine R. Croce is often cited by papers focused on Autophagy in Disease and Therapy (4 papers), Genetic Neurodegenerative Diseases (3 papers) and Phagocytosis and Immune Regulation (2 papers). Katherine R. Croce collaborates with scholars based in United States, United Kingdom and Canada. Katherine R. Croce's co-authors include Thomas M. Jessell, Ai Yamamoto, Andrew Murray, Z. Josh Huang, Eiman Azim, L. F. Abbott, Andrew J. P. Fink, Thomas R. Reardon, Gergely F. Turi and Attila Losonczy and has published in prestigious journals such as Nature, Nature Communications and Neuron.

In The Last Decade

Katherine R. Croce

8 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katherine R. Croce United States 8 250 194 182 109 101 9 662
Kristina E. Froud Australia 7 117 0.5× 145 0.7× 130 0.7× 59 0.5× 98 1.0× 9 542
Christine Arnold United States 14 297 1.2× 632 3.3× 207 1.1× 80 0.7× 58 0.6× 17 1.3k
Sehoon Keum South Korea 15 399 1.6× 589 3.0× 259 1.4× 43 0.4× 78 0.8× 19 1.1k
Maria José Ribeiro Portugal 18 296 1.2× 280 1.4× 215 1.2× 135 1.2× 43 0.4× 43 1.1k
Anna Reynolds Australia 13 226 0.9× 526 2.7× 97 0.5× 53 0.5× 142 1.4× 26 1.0k
Eva‐Britt Samuelsson Sweden 18 281 1.1× 261 1.3× 56 0.3× 131 1.2× 86 0.9× 23 833
Shashi Wadhwa India 22 371 1.5× 431 2.2× 197 1.1× 31 0.3× 75 0.7× 65 1.2k
Nicole A. Donlan United States 11 357 1.4× 76 0.4× 226 1.2× 78 0.7× 263 2.6× 12 761
Ulrike B. S. Hedrich Germany 16 480 1.9× 421 2.2× 142 0.8× 82 0.8× 71 0.7× 33 1.1k
Kenzo Kumamoto Japan 14 173 0.7× 143 0.7× 160 0.9× 142 1.3× 33 0.3× 32 846

Countries citing papers authored by Katherine R. Croce

Since Specialization
Citations

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

Fields of papers citing papers by Katherine R. Croce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine R. Croce. 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 Katherine R. Croce. The network helps show where Katherine R. Croce may publish in the future.

Co-authorship network of co-authors of Katherine R. Croce

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

All Works

9 of 9 papers shown
1.
Wu, Xun, Ziyi Wang, Katherine R. Croce, et al.. (2025). Macrophage WDFY3 mitigates autoimmunity by enhancing efferocytosis and suppressing T cell activation in mice. Nature Communications. 16(1). 8694–8694.
2.
Shi, Jianting, Xun Wu, Ziyi Wang, et al.. (2022). A genome-wide CRISPR screen identifies WDFY3 as a regulator of macrophage efferocytosis. Nature Communications. 13(1). 7929–7929. 26 indexed citations
3.
Griffey, Christopher J., Tim Davies, A. M. Li, et al.. (2022). Oligodendroglial macroautophagy is essential for myelin sheath turnover to prevent neurodegeneration and death. Cell Reports. 41(3). 111480–111480. 37 indexed citations
4.
Croce, Katherine R. & Ai Yamamoto. (2021). Dissolving the Complex Role Aggregation Plays in Neurodegenerative Disease. Movement Disorders. 36(5). 1061–1069. 10 indexed citations
5.
Fox, Leora M., Christopher W. Johnson, Shawei Chen, et al.. (2019). Huntington’s Disease Pathogenesis Is Modified In Vivo by Alfy/Wdfy3 and Selective Macroautophagy. Neuron. 105(5). 813–821.e6. 52 indexed citations
6.
Murray, Andrew, et al.. (2018). Balance Control Mediated by Vestibular Circuits Directing Limb Extension or Antagonist Muscle Co-activation. Cell Reports. 22(5). 1325–1338. 61 indexed citations
7.
Croce, Katherine R. & Ai Yamamoto. (2018). A role for autophagy in Huntington's disease. Neurobiology of Disease. 122. 16–22. 97 indexed citations
8.
Reardon, Thomas R., Andrew Murray, Gergely F. Turi, et al.. (2016). Rabies Virus CVS-N2c ΔG Strain Enhances Retrograde Synaptic Transfer and Neuronal Viability. Neuron. 89(4). 711–724. 195 indexed citations
9.
Fink, Andrew J. P., Katherine R. Croce, Z. Josh Huang, et al.. (2014). Presynaptic inhibition of spinal sensory feedback ensures smooth movement. Nature. 509(7498). 43–48. 184 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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