Connor M. Wander

412 total citations
9 papers, 257 citations indexed

About

Connor M. Wander is a scholar working on Physiology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Connor M. Wander has authored 9 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Connor M. Wander's work include Alzheimer's disease research and treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Glycogen Storage Diseases and Myoclonus (2 papers). Connor M. Wander is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Glycogen Storage Diseases and Myoclonus (2 papers). Connor M. Wander collaborates with scholars based in United States and China. Connor M. Wander's co-authors include Todd J. Cohen, Jui‐Heng Tseng, Michael S. Bereman, Ping Wang, Hanna Trzeciakiewicz, Ashutosh Tripathy, Victoria J. Madden, Juan Song, Brent Asrican and Peng Jin and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Neuron.

In The Last Decade

Connor M. Wander

9 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Connor M. Wander United States	7	130	108	75	65	44	9	257
Federico La Regina Italy	10	147 1.1×	94 0.9×	98 1.3×	59 0.9×	59 1.3×	13	347
Stina Leskelä Finland	7	192 1.5×	169 1.6×	89 1.2×	86 1.3×	126 2.9×	13	390
Xin Heng China	8	134 1.0×	104 1.0×	98 1.3×	93 1.4×	88 2.0×	11	390
Talisha A. Hunter United States	8	234 1.8×	316 2.9×	53 0.7×	90 1.4×	77 1.8×	8	484
Matthew J. Kling United States	10	172 1.3×	133 1.2×	46 0.6×	28 0.4×	45 1.0×	11	378
Anita Szodorai Germany	6	185 1.4×	259 2.4×	119 1.6×	60 0.9×	31 0.7×	6	422
Youssef Sibih United States	4	141 1.1×	248 2.3×	90 1.2×	45 0.7×	130 3.0×	7	404
Anikó Gál Hungary	13	276 2.1×	74 0.7×	111 1.5×	55 0.8×	89 2.0×	45	459
Daphney C. Jean United States	4	138 1.1×	109 1.0×	132 1.8×	29 0.4×	53 1.2×	4	323
Paul Halley United States	9	224 1.7×	53 0.5×	75 1.0×	24 0.4×	54 1.2×	10	423

Countries citing papers authored by Connor M. Wander

Since Specialization

Citations

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

Fields of papers citing papers by Connor M. Wander

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Connor M. Wander. 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 Connor M. Wander. The network helps show where Connor M. Wander may publish in the future.

Co-authorship network of co-authors of Connor M. Wander

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

All Works

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9 of 9 papers shown

Vontell, Regina, David A. Davis, Xiaoyan Sun, et al.. (2024). Corpora amylacea negatively correlate with hippocampal tau pathology in Alzheimer’s disease. Frontiers in Neuroscience. 18. 1286924–1286924. 2 indexed citations

Wander, Connor M., Yadong Li, Hechen Bao, et al.. (2023). Compensatory remodeling of a septo-hippocampal GABAergic network in the triple transgenic Alzheimer’s mouse model. Journal of Translational Medicine. 21(1). 258–258. 9 indexed citations

Wander, Connor M., John F. Ervin, Chanung Wang, et al.. (2022). Corpora amylacea are associated with tau burden and cognitive status in Alzheimer’s disease. Acta Neuropathologica Communications. 10(1). 110–110. 12 indexed citations

Wander, Connor M. & Juan Song. (2021). The neurogenic niche in Alzheimer’s disease. Neuroscience Letters. 762. 136109–136109. 5 indexed citations

Wander, Connor M., Jui‐Heng Tseng, Sheng Song, et al.. (2020). The Accumulation of Tau-Immunoreactive Hippocampal Granules and Corpora Amylacea Implicates Reactive Glia in Tau Pathogenesis during Aging. iScience. 23(7). 101255–101255. 16 indexed citations

Asrican, Brent, Yadong Li, Luis Quintanilla, et al.. (2020). Neuropeptides Modulate Local Astrocytes to Regulate Adult Hippocampal Neural Stem Cells. Neuron. 108(2). 349–366.e6. 50 indexed citations

Ajit, Deepa, Hanna Trzeciakiewicz, Jui‐Heng Tseng, et al.. (2019). A unique tau conformation generated by an acetylation-mimic substitution modulates P301S-dependent tau pathology and hyperphosphorylation. Journal of Biological Chemistry. 294(45). 16698–16711. 16 indexed citations

Wang, Ping, et al.. (2017). Acetylation-induced TDP-43 pathology is suppressed by an HSF1-dependent chaperone program. Nature Communications. 8(1). 82–82. 70 indexed citations

Trzeciakiewicz, Hanna, Jui‐Heng Tseng, Connor M. Wander, et al.. (2017). A Dual Pathogenic Mechanism Links Tau Acetylation to Sporadic Tauopathy. Scientific Reports. 7(1). 44102–44102. 77 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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