Usha Rajamma

1.6k citations
48 papers · 1.3k · h-index 22

Impact in

Papers in

Usha Rajamma

45 papers receiving 1.3k citations

Peers

Usha Rajamma
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 358
  • Cognitive Neuroscience 314
  • Biological Psychiatry 34
  • Neurology 193
  • Developmental Neuroscience 50
Replace Se Jin Jeon with:
Se Jin Jeon South Korea
Fevronia Angelatou Greece
David S. Reynolds United Kingdom
Anete Curte Ferraz Brazil
Orlando Ghirardi Italy
José A. Matta United States
Adriana Simon Coitinho Brazil
Prosper N’Gouemo United States
Glenn H. Dillon United States
Sung‐Cherl Jung South Korea
Usha Rajamma relative to Se Jin Jeon South Korea Se Jin Jeon's profile →
Citations per field
00.5×2.8×
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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013192
2 2013123
3 2011101
4 200778
5 201655
6 200643
7 201842
8 201441
9 200836
10 201336
11 200734
12 201333
13 201731
14 201431
15 200630
16 201025
17 200924
18 201324
19 200924
20 201522

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 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (15 papers), Autism Spectrum Disorder Research (15 papers), Genetic Neurodegenerative Diseases (9 papers), Mitochondrial Function and Pathology (9 papers), Attention Deficit Hyperactivity Disorder (8 papers), Neuroscience and Neuropharmacology Research (6 papers), Folate and B Vitamins Research (4 papers) and Biochemical and Structural Characterization (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (358 citations), Cognitive Neuroscience (314 citations), Biological Psychiatry (34 citations), Neurology (193 citations) and Developmental Neuroscience (50 citations). Usha Rajamma has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Kochupurackal P. Mohanakumar, Swagata Sinha, Mritunjay Pandey, Joy Chakraborty, Reena Haobam, Saurabh Ghosh, Saravanan S. Karuppagounder, Anindita Chatterjee, Sindhu K. Madathil and Kanchan Mukhopadhyay. Their work appears in journals such as Progress in Neuro-Psychopharmacology and Biological Psychiatry, Brain Research, Scientific Reports, Nutritional Neuroscience 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.

Explore authors with similar magnitude of impact