Pallavi Gaur

629 total citations
13 papers, 138 citations indexed

About

Pallavi Gaur is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Pallavi Gaur has authored 13 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Neurology and 4 papers in Physiology. Recurrent topics in Pallavi Gaur's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Extracellular vesicles in disease (3 papers) and Single-cell and spatial transcriptomics (3 papers). Pallavi Gaur is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Extracellular vesicles in disease (3 papers) and Single-cell and spatial transcriptomics (3 papers). Pallavi Gaur collaborates with scholars based in United States, India and Switzerland. Pallavi Gaur's co-authors include Anoop Chaturvedi, Vilas Menon, Dylan I. Lee, Hyun‐Sik Yang, Charles C. White, Naomi Habib, Mariko Taga, Aviv Regev, Shan Wei and Cristin McCabe and has published in prestigious journals such as Nature Communications, Nature Neuroscience and PLoS ONE.

In The Last Decade

Pallavi Gaur

12 papers receiving 136 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pallavi Gaur United States 7 75 43 30 18 12 13 138
Jinchen Li China 7 64 0.9× 15 0.3× 46 1.5× 8 0.4× 12 1.0× 29 154
Doudou Yu China 5 52 0.7× 25 0.6× 10 0.3× 16 0.9× 5 0.4× 18 118
Ramona A. J. Zwamborn Netherlands 4 65 0.9× 8 0.2× 27 0.9× 12 0.7× 24 2.0× 5 124
Lesley R. Golden United States 4 55 0.7× 51 1.2× 61 2.0× 29 1.6× 3 0.3× 6 130
Alex Junker United States 6 90 1.2× 9 0.2× 52 1.7× 24 1.3× 10 0.8× 9 180
Surajit Bhattacharya United States 6 76 1.0× 29 0.7× 16 0.5× 39 2.2× 18 1.5× 18 144
David Brici Australia 5 64 0.9× 24 0.6× 31 1.0× 7 0.4× 7 0.6× 7 141
Miquel Lledós Spain 7 45 0.6× 17 0.4× 20 0.7× 10 0.6× 2 0.2× 11 118
Weiqian Yan China 8 60 0.8× 15 0.3× 18 0.6× 3 0.2× 3 0.3× 17 169
Haicui Wu China 9 71 0.9× 9 0.2× 12 0.4× 40 2.2× 30 2.5× 27 227

Countries citing papers authored by Pallavi Gaur

Since Specialization
Citations

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

Fields of papers citing papers by Pallavi Gaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pallavi Gaur

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

All Works

13 of 13 papers shown
1.
Lee, Hyo, Richard V. Pearse, Zachary M. Augur, et al.. (2025). Contributions of Genetic Variation in Astrocytes to Cell and Molecular Mechanisms of Risk and Resilience to Late‐Onset Alzheimer's Disease. Glia. 73(6). 1166–1187. 9 indexed citations
2.
Gaur, Pallavi, Julien Bryois, Daniela Calini, et al.. (2025). Single-nucleus and spatial transcriptomic profiling of human temporal cortex and white matter reveals key associations with AD pathology. Nature Communications. 16(1). 10395–10395.
3.
Jiang, Shan, Pallavi Gaur, G. Collins, et al.. (2025). Early proteasome downregulation and dysfunction drive proteostasis failure in Alzheimer’s disease. Brain. 148(12). 4372–4388. 1 indexed citations
4.
Gaur, Pallavi, et al.. (2024). Distinct microglial transcriptomic signatures within the hippocampus. PLoS ONE. 19(1). e0296280–e0296280. 3 indexed citations
5.
Taga, Mariko, Cristin McCabe, Idan Hekselman, et al.. (2023). Multicellular communities are perturbed in the aging human brain and Alzheimer’s disease. Nature Neuroscience. 26(7). 1267–1280. 43 indexed citations
6.
Gaur, Pallavi, et al.. (2022). Cell type-specific changes identified by single-cell transcriptomics in Alzheimer’s disease. Genome Medicine. 14(1). 136–136. 29 indexed citations
7.
Gaur, Pallavi, et al.. (2022). Bioprospecting of Multi Trait Plant Growth Promoting Bacillus altitudinis from Phosphate Rich Soil. Geomicrobiology Journal. 40(3). 255–263. 2 indexed citations
8.
Gray, Naudia, et al.. (2020). Toxicological analysis of aerosols derived from three electronic nicotine delivery systems using normal human bronchial epithelial cells. Toxicology in Vitro. 69. 104997–104997. 19 indexed citations
9.
10.
Prosser, Robert, et al.. (2019). Early detection of cryostorage tank failure using a weight-based monitoring system. Journal of Assisted Reproduction and Genetics. 36(4). 655–660. 2 indexed citations
11.
Wei, Shan, Zachary R. Weiss, Pallavi Gaur, Eric J. Forman, & Zev Williams. (2018). Rapid preimplantation genetic screening using a handheld, nanopore-based DNA sequencer. Fertility and Sterility. 110(5). 910–916.e2. 15 indexed citations
12.
Gaur, Pallavi & Anoop Chaturvedi. (2017). Clustering and Candidate Motif Detection in Exosomal miRNAs by Application of Machine Learning Algorithms. Interdisciplinary Sciences Computational Life Sciences. 11(2). 206–214. 6 indexed citations
13.

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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2026