Usha Rajamma

1.7k citations
53 papers · 1.3k · h-index 22

Impact in

Papers in

Usha Rajamma

51 papers receiving 1.3k citations

Peers

Usha Rajamma
Comparison fields: 5 of 98
  • Cellular and Molecular Neuroscience 387
  • Cognitive Neuroscience 334
  • Biological Psychiatry 38
  • Developmental Neuroscience 56
  • Neurology 190
Replace Se Jin Jeon with:
Se Jin Jeon South Korea
Fevronia Angelatou Greece
Chengzhong Wang China
Matthew R. Skelton United States
G.C. Wagner United States
Anete Curte Ferraz Brazil
Francesco Napolitano Italy
Glenn H. Dillon United States
José A. Matta United States
H. Lal United States
Usha Rajamma relative to Se Jin Jeon South Korea Se Jin Jeon's profile →
Citations per field
00.5×2.6×
Se Jin Jeon · 1×
Citations per year

Countries citing papers authored by Usha Rajamma

Since Specialization
Citations

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

Fields of papers citing papers by Usha Rajamma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013182
2 2013110
3 201193
4 200775
5 201649
6 201441
7 200639
8 201837
9 200935
10 201335
11 201332
12 200730
13 200830
14 201728
15 201428
16 200924
17 201023
18 200623
19 200923
20 201622

About Usha Rajamma

Usha Rajamma is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Genetics and Psychiatry and Mental health, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (19 papers), Genetics and Neurodevelopmental Disorders (18 papers), Mitochondrial Function and Pathology (11 papers), Genetic Neurodegenerative Diseases (10 papers), Attention Deficit Hyperactivity Disorder (9 papers), Neuroscience and Neuropharmacology Research (7 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Genomic variations and chromosomal abnormalities (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (387 citations), Cognitive Neuroscience (334 citations), Biological Psychiatry (38 citations), Developmental Neuroscience (56 citations) and Neurology (190 citations). Usha Rajamma has collaborated with scholars based in India and United States. Frequent co-authors include Kochupurackal P. Mohanakumar, Swagata Sinha, Mritunjay Pandey, Reena Haobam, Joy Chakraborty, Saurabh Ghosh, Saravanan S. Karuppagounder, Sindhu K. Madathil, Kanchan Mukhopadhyay and Anindita Chatterjee. Their work appears in journals such as Progress in Neuro-Psychopharmacology and Biological Psychiatry, Brain Research, Neurochemical Research, Behavioural Brain Research and Cellular and Molecular Neurobiology.

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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