Natasha Krishnadas

36 papers receiving 485 citations

Peers

Natasha Krishnadas
Comparison fields: 5 of 57
  • Biological Psychiatry 28
  • Psychiatry and Mental health 147
  • Neurology 74
  • Physiology 192
  • Neurology 98
Replace Everard G.B. Vijverberg with:
Everard G.B. Vijverberg Netherlands
Kenichi Oshima Japan
Ashwin Venkataraman United Kingdom
Jung‐Min Pyun South Korea
David N. Soleimani‐Meigooni United States
Andréa L. Benedet United Kingdom
Jeroen Vanbrabant Belgium
Devon Gessert United States
Hugh H. Bartlett United States
Sonja Darwish United States
Natasha Krishnadas relative to Everard G.B. Vijverberg Netherlands Everard G.B. Vijverberg's profile →
Citations per field
00.5×1.5×
Everard G.B. Vijverberg · 1×
Citations per year

Countries citing papers authored by Natasha Krishnadas

Since Specialization
Citations

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

Fields of papers citing papers by Natasha Krishnadas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Natasha Krishnadas, 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 Natasha Krishnadas Line = papers co-authored together Natasha Krishnadas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202150
2 202243
3 202238
4 202437
5 202335
6 202235
7 202132
8 201930
9 202427
10 202318
11 202318
12 202216
13 202014
14 202214
15 202212
16 20219
17 20238
18 20208
19 20237
20 20226

About Natasha Krishnadas

Natasha Krishnadas is a scholar working on Psychiatry and Mental health, Physiology, Neurology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 492 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (14 papers), Alzheimer's disease research and treatments (10 papers), Functional Brain Connectivity Studies (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Advanced MRI Techniques and Applications (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Biological Psychiatry (28 citations), Psychiatry and Mental health (147 citations), Neurology (74 citations), Physiology (192 citations) and Neurology (98 citations). Natasha Krishnadas has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Vincent Doré, Christopher C. Rowe, Victor L. Villemagne, Pierrick Bourgeat, Jürgen Fripp, Samantha C. Burnham, Kun Huang, Colin L. Masters, Rachel S. Mulligan and Shenpeng Li. Their work appears in journals such as Alzheimer s & Dementia, Journal of Alzheimer s Disease, Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring, Journal of Nuclear Medicine and EBioMedicine.

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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