Xena Flowers

422 total citations
9 papers, 91 citations indexed

About

Xena Flowers is a scholar working on Neurology, Physiology and Surgery. According to data from OpenAlex, Xena Flowers has authored 9 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 4 papers in Physiology and 2 papers in Surgery. Recurrent topics in Xena Flowers's work include Parkinson's Disease Mechanisms and Treatments (5 papers), Alzheimer's disease research and treatments (3 papers) and Neurological disorders and treatments (2 papers). Xena Flowers is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (5 papers), Alzheimer's disease research and treatments (3 papers) and Neurological disorders and treatments (2 papers). Xena Flowers collaborates with scholars based in United States, Luxembourg and Spain. Xena Flowers's co-authors include Richard A. Hickman, Thomas Wısnıewskı, Phyllis L. Faust, Nora Hernández, Jean Paul Vonsattel, Elan D. Louis, Sheng‐Han Kuo, Anne‐Catrin Uhlemann, Pamela U. Freda and Deborah Boyett and has published in prestigious journals such as Nature Communications, Movement Disorders and Journal of Neuropathology & Experimental Neurology.

In The Last Decade

Xena Flowers

8 papers receiving 89 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xena Flowers United States	6	41	29	25	20	15	9	91
Federico Montini Italy	7	113 2.8×	32 1.1×	22 0.9×	29 1.4×	21 1.4×	14	194
Stephanie Scala United States	6	124 3.0×	26 0.9×	17 0.7×	14 0.7×	14 0.9×	6	151
Kyung Ah Woo South Korea	7	95 2.3×	14 0.5×	28 1.1×	21 1.1×	15 1.0×	37	129
Liling Dong China	7	34 0.8×	48 1.7×	14 0.6×	21 1.1×	38 2.5×	34	146
Rebecca Traub United States	7	103 2.5×	38 1.3×	40 1.6×	37 1.9×	9 0.6×	16	154
Eva Maria C. Cutiongco–de la Paz Philippines	5	41 1.0×	6 0.2×	39 1.6×	35 1.8×	9 0.6×	17	118
Christina Dheel United States	3	53 1.3×	43 1.5×	23 0.9×	18 0.9×	22 1.5×	4	94
Masanobu Uchigata Japan	7	42 1.0×	25 0.9×	16 0.6×	33 1.6×	9 0.6×	14	105
Ouhaïd Lagha‐Boukbiza France	7	73 1.8×	30 1.0×	50 2.0×	27 1.4×	9 0.6×	15	123
Ailian Du China	8	41 1.0×	10 0.3×	28 1.1×	62 3.1×	13 0.9×	16	159

Countries citing papers authored by Xena Flowers

Since Specialization

Citations

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

Fields of papers citing papers by Xena Flowers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xena Flowers

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

Xia, Shengnan, Susumu Antoku, David Chen, et al.. (2025). The spatial landscape of glial pathology and T cell response in Parkinson’s disease substantia nigra. Nature Communications. 16(1). 7146–7146. 3 indexed citations

Barbuti, Peter A., Cristina Guardia‐Laguarta, Zena K. Chatila, et al.. (2025). The role of alpha-synuclein in synucleinopathy: Impact on lipid regulation at mitochondria–ER membranes. npj Parkinson s Disease. 11(1). 103–103. 6 indexed citations

Agin‐Liebes, Julian, Richard A. Hickman, Jean Paul Vonsattel, et al.. (2023). Patterns of TDP‐43 Deposition in Brains with LRRK2 G2019S Mutations. Movement Disorders. 38(8). 1541–1545. 5 indexed citations

Zuckerman, Scott L., Jacob L. Goldberg, Meghan Cerpa, et al.. (2023). Do Grip Strength Dynamometer Readings Improve After Cervical Spine Surgery?. Global Spine Journal. 15(1). 76–83.

Louis, Elan D., Nora Hernández, Xena Flowers, et al.. (2022). Characterizing Lewy Pathology in 231 Essential Tremor Brains From the Essential Tremor Centralized Brain Repository. Journal of Neuropathology & Experimental Neurology. 81(10). 796–806. 21 indexed citations

Huang, Wenrui, Suvrajit Maji, Xena Flowers, et al.. (2021). An immune response characterizes early Alzheimer’s disease pathology and subjective cognitive impairment in hydrocephalus biopsies. Nature Communications. 12(1). 5659–5659. 11 indexed citations

Flowers, Xena, et al.. (2020). Meningomyeloencephalitis secondary to Mycobacterium haemophilum infection in AIDS. Acta Neuropathologica Communications. 8(1). 73–73. 5 indexed citations

Hickman, Richard A., Xena Flowers, & Thomas Wısnıewskı. (2020). Primary Age-Related Tauopathy (PART): Addressing the Spectrum of Neuronal Tauopathic Changes in the Aging Brain. Current Neurology and Neuroscience Reports. 20(9). 29 indexed citations

Hickman, Richard A., Jeffrey N. Bruce, Marc L. Otten, et al.. (2020). Gonadotroph tumours with a low SF‐1 labelling index are more likely to recur and are associated with enrichment of the PI3K‐AKT pathway. Neuropathology and Applied Neurobiology. 47(3). 415–427. 11 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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