Anne DeChant

955 total citations
10 papers, 779 citations indexed

About

Anne DeChant is a scholar working on Molecular Biology, Genetics and Developmental Neuroscience. According to data from OpenAlex, Anne DeChant has authored 10 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Developmental Neuroscience. Recurrent topics in Anne DeChant's work include Neurogenesis and neuroplasticity mechanisms (3 papers), Neonatal and fetal brain pathology (2 papers) and NF-κB Signaling Pathways (2 papers). Anne DeChant is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (3 papers), Neonatal and fetal brain pathology (2 papers) and NF-κB Signaling Pathways (2 papers). Anne DeChant collaborates with scholars based in United States. Anne DeChant's co-authors include Robert H. Miller, Arnold I. Caplan, Lianhua Bai, Donald P. Lennon, Anita Zaremba, Mark L. Cohen, Li Q, Shenandoah Robinson, Andrew V. Caprariello and A Hall and has published in prestigious journals such as Nature Neuroscience, Oncogene and Annals of Neurology.

In The Last Decade

Anne DeChant

10 papers receiving 773 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne DeChant United States 8 292 242 206 169 123 10 779
Nicole Kuzmin‐Nichols United States 19 334 1.1× 483 2.0× 222 1.1× 92 0.5× 124 1.0× 24 1.0k
Yujia Yang China 16 164 0.6× 124 0.5× 106 0.5× 126 0.7× 153 1.2× 59 691
Zuo Luan China 15 192 0.7× 161 0.7× 136 0.7× 103 0.6× 73 0.6× 55 598
Vanessa Donega Netherlands 12 194 0.7× 210 0.9× 206 1.0× 233 1.4× 77 0.6× 18 637
Mina Maki United States 16 436 1.5× 429 1.8× 400 1.9× 134 0.8× 349 2.8× 22 1.2k
Tanya L. Butler Australia 17 517 1.8× 198 0.8× 176 0.9× 50 0.3× 161 1.3× 25 1.1k
Martin Hadman United States 13 402 1.4× 381 1.6× 280 1.4× 64 0.4× 259 2.1× 15 961
Soroush Doostkam Germany 16 246 0.8× 196 0.8× 61 0.3× 64 0.4× 96 0.8× 43 807
Andrea C. Pardo United States 14 280 1.0× 301 1.2× 248 1.2× 99 0.6× 252 2.0× 44 954
Makoto Ideguchi Japan 16 575 2.0× 246 1.0× 275 1.3× 43 0.3× 326 2.7× 44 1.1k

Countries citing papers authored by Anne DeChant

Since Specialization
Citations

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

Fields of papers citing papers by Anne DeChant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne DeChant

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

All Works

10 of 10 papers shown
1.
DeChant, Anne, Stephen D. Fening, Michael Haag, William E. Harte, & Mark R. Chance. (2022). Optimizing biomedical discoveries as an engine of culture change in an academic medical center. Journal of Clinical and Translational Science. 6(1). e19–e19. 5 indexed citations
2.
Grommes, Christian, et al.. (2013). The PPARγ agonist pioglitazone crosses the blood–brain barrier and reduces tumor growth in a human xenograft model. Cancer Chemotherapy and Pharmacology. 71(4). 929–936. 58 indexed citations
3.
Bai, Lianhua, Donald P. Lennon, Arnold I. Caplan, et al.. (2012). Hepatocyte growth factor mediates mesenchymal stem cell–induced recovery in multiple sclerosis models. Nature Neuroscience. 15(6). 862–870. 333 indexed citations
4.
Selkirk, Stephen M., Tara A. Barone, Alan Hoffer, et al.. (2007). Elevation of osteopontin levels in brain tumor cells reduces burden and promotes survival through the inhibition of cell dispersal. Journal of Neuro-Oncology. 86(3). 285–296. 6 indexed citations
5.
DeChant, Anne, et al.. (2007). Bone morphogenetic proteins promote gliosis in demyelinating spinal cord lesions. Annals of Neurology. 62(3). 288–300. 107 indexed citations
6.
Robinson, Shenandoah, Li Q, Anne DeChant, & Mark L. Cohen. (2006). Neonatal loss of γ–aminobutyric acid pathway expression after human perinatal brain injury. Journal of Neurosurgery Pediatrics. 104(6). 396–408. 129 indexed citations
7.
Robinson, Shenandoah, et al.. (2005). Developmental changes induced by graded prenatal systemic hypoxic–ischemic insults in rats. Neurobiology of Disease. 18(3). 568–581. 76 indexed citations
8.
DeChant, Anne, et al.. (2003). Differential signaling through NFκB does not ameliorate skeletal myoblast apoptosis during differentiation. FEBS Letters. 545(2-3). 246–252. 8 indexed citations
10.
Gelperin, Daniel, Lynn E. Horton, Anne DeChant, Jack O. Hensold, & Sandra K. Lemmon. (2002). Loss of Ypk1 Function Causes Rapamycin Sensitivity, Inhibition of Translation Initiation and Synthetic Lethality in 14-3-3-Deficient Yeast. Genetics. 161(4). 1453–1464. 35 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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