S. Naidu

1.6k citations
31 papers · 1.1k · h-index 17

Impact in

Papers in

    • RNA regulation and disease 7
    • Peroxisome Proliferator-Activated Receptors 5
    • Mitochondrial Function and Pathology 3
    • Biochemical and Molecular Research 3
    • Genetics and Neurodevelopmental Disorders 9

S. Naidu

31 papers receiving 1.1k citations

Peers

S. Naidu
Comparison fields: 5 of 78
  • Clinical Biochemistry 112
  • Genetics 376
  • Cognitive Neuroscience 252
  • Physiology 61
  • Developmental Neuroscience 41
Replace M. Pineda with:
M. Pineda Spain
Xinhua Bao China
Marina Trivisano Italy
Mercédes Pineda Spain
Lucia Fusco Italy
Alex R. Paciorkowski United States
Milena Laure‐Kamionowska Poland
Teresa Temudo Portugal
Josette Mancini France
Eric Leguern France
S. Naidu relative to M. Pineda Spain M. Pineda's profile →
Citations per field
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Citations per year

Countries citing papers authored by S. Naidu

Since Specialization
Citations

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

Fields of papers citing papers by S. Naidu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Naidu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Naidu Line = papers co-authored together S. Naidu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996184
2
MR findings in adult-onset adrenoleukodystrophy.
199592
3 200290
4 200777
5 200272
6 198672
7 200070
8 199563
9 200352
10
Abnormalities in neuronal maturation in Rett syndrome neocortex: preliminary molecular correlates.
199743
11 200441
12 198837
13 199235
14 199130
15 200522
16 199720
17 199318
18 200315
19 199712
20 198711

About S. Naidu

S. Naidu is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Clinical Biochemistry, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (9 papers), RNA regulation and disease (7 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Metabolism and Genetic Disorders (4 papers), Autism Spectrum Disorder Research (4 papers), Mitochondrial Function and Pathology (3 papers), Biochemical and Molecular Research (3 papers) and Biomedical Research and Pathophysiology (2 papers). The work is most often cited by research in Clinical Biochemistry (112 citations), Genetics (376 citations), Cognitive Neuroscience (252 citations), Physiology (61 citations) and Developmental Neuroscience (41 citations). S. Naidu has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Walter E. Kaufmann, H. W. Moser, Eric P. Hoffman, Ashok Kumar, Sarojini Budden, Peter B. Barker, Marjo S. van der Knaap, Kristen C. Hoffbuhr, Genila Bibat and Dean F. Wong. Their work appears in journals such as Neurology, Journal of Inherited Metabolic Disease, Neuropediatrics, American Journal of Neuroradiology and Journal of Neuropsychiatry.

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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