Patty C. Kandalepas

884 total citations
7 papers, 674 citations indexed

About

Patty C. Kandalepas is a scholar working on Physiology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Patty C. Kandalepas has authored 7 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 4 papers in Pharmacology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Patty C. Kandalepas's work include Alzheimer's disease research and treatments (5 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Computational Drug Discovery Methods (3 papers). Patty C. Kandalepas is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Computational Drug Discovery Methods (3 papers). Patty C. Kandalepas collaborates with scholars based in United States, United Kingdom and China. Patty C. Kandalepas's co-authors include Robert Vassar, Katherine R. Sadleir, Daniel A. Nicholson, Jie Zhao, William A. Eimer, Virginie Buggia-Prévot, Gopal Thinakaran, Jennifer W. Mitchell and Martha U. Gillette and has published in prestigious journals such as PLoS ONE, Journal of Neurochemistry and Acta Neuropathologica.

In The Last Decade

Patty C. Kandalepas

6 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patty C. Kandalepas United States	6	487	210	196	131	123	7	674
Julie Paquette Canada	8	358 0.7×	148 0.7×	164 0.8×	86 0.7×	73 0.6×	10	541
Janelle Nunan Australia	8	510 1.0×	373 1.8×	164 0.8×	101 0.8×	205 1.7×	9	783
Pascale Krzywkowski France	11	422 0.9×	265 1.3×	169 0.9×	81 0.6×	289 2.3×	13	791
Patrick N. Pompl United States	7	644 1.3×	335 1.6×	213 1.1×	67 0.5×	213 1.7×	8	1.1k
Yin‐Guo Lin United States	10	380 0.8×	261 1.2×	128 0.7×	47 0.4×	189 1.5×	14	639
Yoshiyuki Soeda Japan	13	364 0.7×	236 1.1×	114 0.6×	41 0.3×	129 1.0×	25	652
Marcelo A. Chacón Chile	13	470 1.0×	520 2.5×	230 1.2×	130 1.0×	256 2.1×	18	981
Patrizia Giannoni France	16	358 0.7×	390 1.9×	332 1.7×	184 1.4×	186 1.5×	24	1.0k
Alessandra Bonito‐Oliva United States	10	311 0.6×	240 1.1×	131 0.7×	64 0.5×	202 1.6×	11	681
Masato Maesako United States	18	577 1.2×	347 1.7×	95 0.5×	46 0.4×	200 1.6×	39	910

Countries citing papers authored by Patty C. Kandalepas

Since Specialization

Citations

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

Fields of papers citing papers by Patty C. Kandalepas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patty C. Kandalepas. 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 Patty C. Kandalepas. The network helps show where Patty C. Kandalepas may publish in the future.

Co-authorship network of co-authors of Patty C. Kandalepas

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Kandalepas, Patty C., Jennifer W. Mitchell, & Martha U. Gillette. (2016). Melatonin Signal Transduction Pathways Require E-Box-Mediated Transcription of Per1 and Per2 to Reset the SCN Clock at Dusk. PLoS ONE. 11(6). e0157824–e0157824. 59 indexed citations

2.

Sadleir, Katherine R., Patty C. Kandalepas, Virginie Buggia-Prévot, et al.. (2016). Presynaptic dystrophic neurites surrounding amyloid plaques are sites of microtubule disruption, BACE1 elevation, and increased Aβ generation in Alzheimer’s disease. Acta Neuropathologica. 132(2). 235–256. 196 indexed citations

3.

Kandalepas, Patty C. & Robert Vassar. (2014). The Normal and Pathologic Roles of the Alzheimer's β-secretase, BACE1. Current Alzheimer Research. 11(5). 441–449. 44 indexed citations

4.

Kandalepas, Patty C., Katherine R. Sadleir, William A. Eimer, et al.. (2013). The Alzheimer’s β-secretase BACE1 localizes to normal presynaptic terminals and to dystrophic presynaptic terminals surrounding amyloid plaques. Acta Neuropathologica. 126(3). 329–352. 196 indexed citations

5.

Vassar, Robert & Patty C. Kandalepas. (2011). The β-secretase enzyme BACE1 as a therapeutic target for Alzheimer's disease. Alzheimer s Research & Therapy. 3(3). 20–20. 113 indexed citations

6.

Kandalepas, Patty C. & Robert Vassar. (2011). Identification and biology of β‐secretase. Journal of Neurochemistry. 120(s1). 55–61. 66 indexed citations

7.

Kandalepas, Patty C.. (2009). Molecular Mechanisms of Melatonin Action on the Rat Suprachiasmatic Nucleus: An in Vitro Analysis.

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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