Asha Naidu

970 total citations · 1 hit paper
8 papers, 794 citations indexed

About

Asha Naidu is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Asha Naidu has authored 8 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Asha Naidu's work include Alzheimer's disease research and treatments (6 papers), Nuclear Receptors and Signaling (4 papers) and Neonatal Respiratory Health Research (2 papers). Asha Naidu is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Nuclear Receptors and Signaling (4 papers) and Neonatal Respiratory Health Research (2 papers). Asha Naidu collaborates with scholars based in United States, Belgium and France. Asha Naidu's co-authors include Barbara Cordell, Ilse Dewachter, Fred Van Leuven, Frédéric Checler, Kurt Spittaels, Dieder Moechars, Kristin Lorent, Delphine Reversé, Chris Van den Haute and Veerle Baekelandt and has published in prestigious journals such as Journal of Biological Chemistry, Brain Research and Neuroreport.

In The Last Decade

Asha Naidu

8 papers receiving 773 citations

Hit Papers

Early Phenotypic Changes in Transgenic Mice That Overexpr... 1999 2026 2008 2017 1999 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Asha Naidu United States 7 668 286 281 181 172 8 794
Delphine Reversé Belgium 5 733 1.1× 353 1.2× 422 1.5× 155 0.9× 216 1.3× 6 952
Bruno Bonici France 8 671 1.0× 305 1.1× 369 1.3× 143 0.8× 178 1.0× 9 824
Chiho Hirata‐Fukae United States 10 555 0.8× 215 0.8× 185 0.7× 115 0.6× 191 1.1× 11 778
Daniel Saroff United States 8 464 0.7× 242 0.8× 177 0.6× 130 0.7× 153 0.9× 11 653
J. K. Blusztajn United States 13 598 0.9× 414 1.4× 227 0.8× 159 0.9× 150 0.9× 17 992
Rie Teraoka Japan 5 726 1.1× 353 1.2× 200 0.7× 100 0.6× 182 1.1× 6 818
Jeffrey A. Fein United States 10 684 1.0× 417 1.5× 481 1.7× 160 0.9× 146 0.8× 13 956
Hanno M. Roder United States 10 779 1.2× 386 1.3× 383 1.4× 205 1.1× 244 1.4× 13 1.0k
Ronald E. Majocha United States 20 497 0.7× 462 1.6× 197 0.7× 102 0.6× 131 0.8× 40 861
Marcelo A. Chacón Chile 13 470 0.7× 520 1.8× 256 0.9× 108 0.6× 230 1.3× 18 981

Countries citing papers authored by Asha Naidu

Since Specialization
Citations

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

Fields of papers citing papers by Asha Naidu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asha Naidu

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

All Works

8 of 8 papers shown
1.
Naidu, Asha, Qiang Xu, Rosanne Catalano, & Barbara Cordell. (2002). Secretion of apolipoprotein E by brain glia requires protein prenylation and is suppressed by statins. Brain Research. 958(1). 100–111. 35 indexed citations
2.
Naidu, Asha, Rosanne Catalano, Kelly R. Bales, et al.. (2001). Conversion of brain apolipoprotein E to an insoluble form in a mouse model of Alzheimer disease. Neuroreport. 12(6). 1265–1270. 9 indexed citations
3.
Kumar‐Singh, Samir, Ilse Dewachter, Ursula Lübke, et al.. (2000). Behavioral Disturbances without Amyloid Deposits in Mice Overexpressing Human Amyloid Precursor Protein with Flemish (A692G) or Dutch (E693Q) Mutation. Neurobiology of Disease. 7(1). 9–22. 84 indexed citations
4.
Moechars, Dieder, Ilse Dewachter, Kristin Lorent, et al.. (1999). Early Phenotypic Changes in Transgenic Mice That Overexpress Different Mutants of Amyloid Precursor Protein in Brain. Journal of Biological Chemistry. 274(10). 6483–6492. 553 indexed citations breakdown →
5.
Naidu, Asha, et al.. (1996). β-Amyloid Peptide Secretion by a Microglial Cell Line Is Induced by β-Amyloid-(25–35) and Lipopolysaccharide. Journal of Biological Chemistry. 271(27). 16084–16089. 65 indexed citations
6.
Pinto, Ricardo A., Samuel Hawgood, John A. Clements, et al.. (1995). Association of surfactant protein C with isolated alveolar type II cells. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1255(1). 16–22. 5 indexed citations
7.
Naidu, Asha, Diana Quon, & Barbara Cordell. (1995). β-Amyloid Peptide Produced in Vitro Is Degraded by Proteinases Released by Cultured Cells. Journal of Biological Chemistry. 270(3). 1369–1374. 37 indexed citations
8.
Stults, John T., et al.. (1992). Lung surfactant protein SP-C from human, bovine, and canine sources contains palmityl cysteine thioester linkages. American Journal of Physiology-Lung Cellular and Molecular Physiology. 262(3). 1–1. 6 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026