Anna A. Pimenova

2.0k total citations
10 papers, 906 citations indexed

About

Anna A. Pimenova is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Anna A. Pimenova has authored 10 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 6 papers in Molecular Biology and 5 papers in Neurology. Recurrent topics in Anna A. Pimenova's work include Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Anna A. Pimenova is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Anna A. Pimenova collaborates with scholars based in United States, Belgium and India. Anna A. Pimenova's co-authors include Alison Goate, Towfique Raj, Celeste M. Karch, Immanuel Purushothaman, Yong‐Hwee Eddie Loh, Ana Badimon, Kristen Brennand, Meinrad Busslinger, Brianna R. Ramirez and Pinar Ayata and has published in prestigious journals such as Nature Neuroscience, PLoS ONE and Biological Psychiatry.

In The Last Decade

Anna A. Pimenova

9 papers receiving 900 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna A. Pimenova United States	8	447	370	288	223	171	10	906
Lihong Zhan United States	15	552 1.2×	338 0.9×	295 1.0×	240 1.1×	136 0.8×	15	1.1k
Fabia Filipello Italy	13	596 1.3×	257 0.7×	187 0.6×	341 1.5×	163 1.0×	16	1.0k
Seung-Hye Lee United States	11	436 1.0×	520 1.4×	279 1.0×	226 1.0×	133 0.8×	13	1.1k
Patrick C. G. Haddick United States	7	402 0.9×	399 1.1×	255 0.9×	218 1.0×	248 1.5×	7	886
Luc Grandbarbe Luxembourg	11	500 1.1×	340 0.9×	229 0.8×	197 0.9×	206 1.2×	13	972
Fumito Endo Japan	15	494 1.1×	504 1.4×	309 1.1×	121 0.5×	275 1.6×	20	1.3k
Jessica L. Larson United States	11	541 1.2×	358 1.0×	284 1.0×	274 1.2×	144 0.8×	14	964
Anne H. P. Jansen Netherlands	11	405 0.9×	463 1.3×	384 1.3×	138 0.6×	272 1.6×	12	1.0k
Lilach Soreq Israel	16	496 1.1×	580 1.6×	238 0.8×	152 0.7×	219 1.3×	23	1.2k
Nicola Fattorelli Belgium	8	841 1.9×	438 1.2×	516 1.8×	369 1.7×	155 0.9×	9	1.3k

Countries citing papers authored by Anna A. Pimenova

Since Specialization

Citations

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

Fields of papers citing papers by Anna A. Pimenova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna A. Pimenova. 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 Anna A. Pimenova. The network helps show where Anna A. Pimenova may publish in the future.

Co-authorship network of co-authors of Anna A. Pimenova

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

Pimenova, Anna A., et al.. (2020). Alzheimer's-associated PU.1 expression levels regulate microglial inflammatory response. Neurobiology of Disease. 148. 105217–105217. 62 indexed citations

Pimenova, Anna A. & Alison Goate. (2020). Novel presenilin 1 and 2 double knock-out cell line for in vitro validation of PSEN1 and PSEN2 mutations. Neurobiology of Disease. 138. 104785–104785. 15 indexed citations

Hsu, Simon, et al.. (2020). Systematic validation of variants of unknown significance in APP, PSEN1 and PSEN2. Neurobiology of Disease. 139. 104817–104817. 22 indexed citations

Pimenova, Anna A., et al.. (2020). Protective low expression of PU.1 reduces microglial inflammatory and phagocytic response. Alzheimer s & Dementia. 16(S2).

Ayata, Pinar, Ana Badimon, Sarah Montgomery, et al.. (2018). Epigenetic regulation of brain region-specific microglia clearance activity. Nature Neuroscience. 21(8). 1049–1060. 324 indexed citations

TCW, Julia, Minghui Wang, Anna A. Pimenova, et al.. (2017). An Efficient Platform for Astrocyte Differentiation from Human Induced Pluripotent Stem Cells. Stem Cell Reports. 9(2). 600–614. 245 indexed citations

Pimenova, Anna A., Towfique Raj, & Alison Goate. (2017). Untangling Genetic Risk for Alzheimer’s Disease. Biological Psychiatry. 83(4). 300–310. 154 indexed citations

Pimenova, Anna A., Amantha Thathiah, Bart De Strooper, & Ina Tesseur. (2014). Regulation of Amyloid Precursor Protein Processing by Serotonin Signaling. PLoS ONE. 9(1). e87014–e87014. 35 indexed citations

Tesseur, Ina, Anna A. Pimenova, Adrian C. Lo, et al.. (2013). Chronic 5-HT4 receptor activation decreases Aβ production and deposition in hAPP/PS1 mice. Neurobiology of Aging. 34(7). 1779–1789. 46 indexed citations

10.

Guzhova, Irina V., et al.. (2008). [The role of extracellular chaperone Hsp70 in creating antitumor immunity in rat rhabdomyosarcoma RA-2 model].. PubMed. 54(5). 611–7. 3 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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