Vinod Udayar

611 total citations · 1 hit paper
9 papers, 284 citations indexed

About

Vinod Udayar is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Vinod Udayar has authored 9 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in Vinod Udayar's work include Drug Transport and Resistance Mechanisms (3 papers), Cellular transport and secretion (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Vinod Udayar is often cited by papers focused on Drug Transport and Resistance Mechanisms (3 papers), Cellular transport and secretion (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Vinod Udayar collaborates with scholars based in Switzerland, United States and Canada. Vinod Udayar's co-authors include Yu Chen, Ravi Jagasia, Ellen Sidransky, Lawrence Rajendran, Roland Riek, Christoph Höck, Adriano Aguzzi, Jonas Ries, Simone Hornemann and K. Peter R. Nilsson and has published in prestigious journals such as Trends in Neurosciences, Trends in Pharmacological Sciences and Cell Reports.

In The Last Decade

Vinod Udayar

8 papers receiving 281 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Lysosomal dysfunction in neurodegeneration: emerging concepts and methods

2022 117 citations Vinod Udayar, Yu Chen et al. Trends in Neurosciences profile →

Peers

Vinod Udayar

PHYSI

MB

CB

BIOPH

EPIDE

Wendy Vermeire Belgium

Kiran Todkar Canada

Patrick D. Braun United States

Catarina Dias Denmark

Dana Bar-On Israel

Morgane Rosendale France

Hyeonglim Seo United States

Weston Stauffer United States

Jorge D. Cortese United States

Seisuke Arai Japan

Wendy Vermeire Belgium

Vinod Udayar

185 ×1.4

PHYSI

136 ×1.2

MB

129 ×1.6

CB

8 ×0.2

BIOPH

95 ×2.4

EPIDE

Citations per year, relative to Vinod Udayar Vinod Udayar (= 1×) peers Wendy Vermeire

Countries citing papers authored by Vinod Udayar

Since Specialization

Citations

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

Fields of papers citing papers by Vinod Udayar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinod Udayar

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

1.

Udayar, Vinod, Julien Bryois, Xi Chen, et al.. (2025). Enzyme Activity-Based Genome-wide Screening for Modifiers of Lysosomal Glucocerebrosidase Uncovers Candidate Risk Factors for Parkinson’s Disease. ACS Central Science. 11(10). 1933–1945.

2.

Moors, Tim E., Hanneke Geut, Vinod Udayar, et al.. (2024). Altered TFEB subcellular localization in nigral neurons of subjects with incidental, sporadic and GBA-related Lewy body diseases. Acta Neuropathologica. 147(1). 67–67. 1 indexed citations

3.

Udayar, Vinod, Yu Chen, Ellen Sidransky, & Ravi Jagasia. (2022). Lysosomal dysfunction in neurodegeneration: emerging concepts and methods. Trends in Neurosciences. 45(3). 184–199. 117 indexed citations breakdown →

4.

Udayar, Vinod & Lawrence Rajendran. (2016). γ-Secretase Activating Protein (GSAP) does not specifically affect the γ-Secretase processing of APP. 1 indexed citations

5.

Udayar, Vinod & Lawrence Rajendran. (2016). γ-Secretase Activating Protein (GSAP) does not specifically regulate γ-cleavage of APP but regulates APP levels in HeLa cells. 1 indexed citations

6.

Buggia-Prévot, Virginie, Vinod Udayar, Kulandaivelu S. Vetrivel, et al.. (2013). A Function for EHD Family Proteins in Unidirectional Retrograde Dendritic Transport of BACE1 and Alzheimer’s Disease Aβ Production. Cell Reports. 5(6). 1552–1563. 60 indexed citations

7.

Ries, Jonas, Vinod Udayar, Alice Soragni, et al.. (2013). Superresolution Imaging of Amyloid Fibrils with Binding-Activated Probes. ACS Chemical Neuroscience. 4(7). 1057–1061. 76 indexed citations

8.

Buggia-Prévot, Virginie, Celia Fernandez, Sean M. Riordan, et al.. (2013). Regulation of dynamic BACE1 trafficking in neurons. Molecular Neurodegeneration. 8(S1). 9 indexed citations

9.

Rajendran, Lawrence, et al.. (2012). Lipid-anchored drugs for delivery into subcellular compartments. Trends in Pharmacological Sciences. 33(4). 215–222. 19 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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