Basavaraj Hooli

4.3k total citations · 2 hit papers
17 papers, 2.3k citations indexed

About

Basavaraj Hooli is a scholar working on Physiology, Molecular Biology and Pharmacology. According to data from OpenAlex, Basavaraj Hooli has authored 17 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 5 papers in Molecular Biology and 5 papers in Pharmacology. Recurrent topics in Basavaraj Hooli's work include Alzheimer's disease research and treatments (10 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Basavaraj Hooli is often cited by papers focused on Alzheimer's disease research and treatments (10 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Basavaraj Hooli collaborates with scholars based in United States, Germany and India. Basavaraj Hooli's co-authors include Rudolph E. Tanzi, Kristina Mullin, Se Hoon Choi, Antonio Parrado, Bradley T. Hyman, Alberto Serrano‐Pozo, Ana Griciuc, Steven L. Wagner, Clifford J. Woolf and Dora M. Kovacs and has published in prestigious journals such as Nature, Cell and Neuron.

In The Last Decade

Basavaraj Hooli

16 papers receiving 2.3k citations

Hit Papers

A three-dimensional human neural cell culture model of Al... 2013 2026 2017 2021 2014 2013 250 500 750
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.

  1. A three-dimensional human neural cell culture model of Alzheimer’s disease
    2014 879 citations Se Hoon Choi, Young Hye Kim et al. Nature profile →
  2. Alzheimer’s Disease Risk Gene CD33 Inhibits Microglial Uptake of Amyloid Beta
    2013 765 citations Ana Griciuc, Alberto Serrano‐Pozo et al. Neuron profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Basavaraj Hooli United States 11 1.2k 981 861 433 346 17 2.3k
Hansruedi Mathys United States 10 742 0.6× 1.1k 1.1× 1.0k 1.2× 262 0.6× 267 0.8× 12 2.1k
Seiko Ikezu United States 18 936 0.8× 1.4k 1.4× 1.1k 1.3× 265 0.6× 343 1.0× 38 2.5k
Renzo Mancuso Spain 25 956 0.8× 1.1k 1.1× 1.4k 1.6× 537 1.2× 591 1.7× 50 3.0k
Séverine Bégard France 26 1.6k 1.4× 1.5k 1.5× 621 0.7× 861 2.0× 100 0.3× 42 2.8k
Carlo Sala Frigerio United Kingdom 20 864 0.7× 1.0k 1.0× 915 1.1× 255 0.6× 361 1.0× 42 2.3k
Lieneke Kooijman Netherlands 18 858 0.7× 838 0.9× 924 1.1× 464 1.1× 323 0.9× 26 2.1k
Amaia M. Arranz Spain 18 567 0.5× 770 0.8× 666 0.8× 447 1.0× 178 0.5× 23 2.0k
Qingli Xiao United States 18 1.2k 1.0× 638 0.7× 634 0.7× 382 0.9× 120 0.3× 25 2.0k
Alberto Pérez-Samartı́n Spain 25 419 0.4× 926 0.9× 881 1.0× 973 2.2× 210 0.6× 50 2.9k
David Walker United States 20 940 0.8× 1.4k 1.4× 308 0.4× 564 1.3× 80 0.2× 24 2.5k

Countries citing papers authored by Basavaraj Hooli

Since Specialization
Citations

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

Fields of papers citing papers by Basavaraj Hooli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Basavaraj Hooli

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

All Works

17 of 17 papers shown
1.
2.
Wang, Jian, et al.. (2023). Bayesian network analysis of BIN1 risk allele and other risk factors and biomarkers of Alzheimer’s disease. Alzheimer s & Dementia. 19(S12). 1 indexed citations
3.
Hooli, Basavaraj, Saima Rathore, Jian Wang, et al.. (2023). To Assess Mediation Effects of BIN1 Risk Variant rs6733839 and APOE4 on Alzheimer’s disease Pathology. Alzheimer s & Dementia. 19(S12). 1 indexed citations
4.
Hooli, Basavaraj, et al.. (2021). Flood Forecasting Using Machine Learning: A Review. 32–36. 33 indexed citations
5.
Suh, Jaehong, Donna Romano, Larissa Nitschke, et al.. (2019). Loss of Ataxin-1 Potentiates Alzheimer’s Pathogenesis by Elevating Cerebral BACE1 Transcription. Cell. 178(5). 1159–1175.e17. 47 indexed citations
6.
Li, Airong, Basavaraj Hooli, Kristina Mullin, et al.. (2017). Silencing of the Drosophila ortholog of SOX5 leads to abnormal neuronal development and behavioral impairment. Human Molecular Genetics. 26(8). 1472–1482. 25 indexed citations
7.
Song, Wilbur M., Basavaraj Hooli, Kristina Mullin, et al.. (2016). Alzheimer's disease‐associated TREM2 variants exhibit either decreased or increased ligand‐dependent activation. Alzheimer s & Dementia. 13(4). 381–387. 197 indexed citations
8.
Callender, Julia A., Basavaraj Hooli, Corina E. Antal, et al.. (2016). Gain-of-function mutations in protein kinase Cα (PKCα) may promote synaptic defects in Alzheimer’s disease. Science Signaling. 9(427). ra47–ra47. 69 indexed citations
9.
Park, Suyeon, Sungyoung Lee, Young Lee, et al.. (2015). Adjusting heterogeneous ascertainment bias for genetic association analysis with extended families. BMC Medical Genetics. 16(1). 62–62. 7 indexed citations
10.
Choi, Se Hoon, Young Hye Kim, Matthias Hebisch, et al.. (2014). A three-dimensional human neural cell culture model of Alzheimer’s disease. Nature. 515(7526). 274–278. 879 indexed citations breakdown →
11.
Hooli, Basavaraj, Antonio Parrado, Kristina Mullin, et al.. (2014). The rare TREM2 R47H variant exerts only a modest effect on Alzheimer disease risk. Neurology. 83(15). 1353–1358. 31 indexed citations
12.
Griciuc, Ana, Alberto Serrano‐Pozo, Antonio Parrado, et al.. (2013). Alzheimer’s Disease Risk Gene CD33 Inhibits Microglial Uptake of Amyloid Beta. Neuron. 78(4). 631–643. 765 indexed citations breakdown →
13.
Saha, Subir Kumar, et al.. (2010). Back to Green. 1(1). 89–110. 1 indexed citations
14.
Hooli, Basavaraj & Rudolph E. Tanzi. (2009). A current view of Alzheimer's disease. F1000 Biology Reports. 1. 54–54. 9 indexed citations
15.
Kim, Minji, Jaehong Suh, Donna Romano, et al.. (2009). Potential late-onset Alzheimer's disease-associated mutations in the ADAM10 gene attenuate α-secretase activity. Human Molecular Genetics. 18(20). 3987–3996. 183 indexed citations
16.
Schjeide, Brit‐Maren M., Basavaraj Hooli, Michele Parkinson, et al.. (2009). GAB2 as an Alzheimer Disease Susceptibility Gene. Archives of Neurology. 66(2). 250–4. 33 indexed citations
17.
Schjeide, Brit‐Maren M., Matthew B. McQueen, Kristina Mullin, et al.. (2008). Assessment of Alzheimer’s disease case–control associations using family-based methods. Neurogenetics. 10(1). 19–25. 58 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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