Radha Rama Devi Akella
- Genetics
- Cognitive Neuroscience
- Molecular Biology
- Psychiatry and Mental health
- Clinical Biochemistry top 10%
- Co-authors
- Shaik Mohammad NaushadGovindaiah VinukondaInderneel SahaiYuka AoyamaRoger B. EatonToshiyuki FukaoLokesh LingappaChihiro Mori
- Topics
- Metabolism and Genetic Disorders (6 papers)Biochemical and Molecular Research (4 papers)Folate and B Vitamins Research (3 papers)
- Partner nations
- IndiaJapanUnited States
In The Last Decade
Radha Rama Devi Akella
13 papers receiving 242 citations
Peers
Comparison fields: 5 of 59
- Genetics 97
- Cognitive Neuroscience 86
- Molecular Biology 84
- Psychiatry and Mental health 57
- Clinical Biochemistry 56
Countries citing papers authored by Radha Rama Devi Akella
This map shows the geographic impact of Radha Rama Devi Akella'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 Radha Rama Devi Akella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radha Rama Devi Akella more than expected).
Fields of papers citing papers by Radha Rama Devi Akella
This network shows the impact of papers produced by Radha Rama Devi Akella. 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 Radha Rama Devi Akella. The network helps show where Radha Rama Devi Akella may publish in the future.
Co-authorship network of co-authors of Radha Rama Devi Akella
This figure shows the co-authorship network connecting the top 25 collaborators of Radha Rama Devi Akella. A scholar is included among the top collaborators of Radha Rama Devi Akella 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 Radha Rama Devi Akella. Radha Rama Devi Akella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 13 | |
| 8 | 9 | |
| 9 | 11 | |
| 10 | Autistic children exhibit distinct plasma amino acid profile. | 53 |
| 11 | 18 | |
| 12 | 76 | |
| 13 | 44 | |
| 14 | Molecular genetic analysis of a highly conserved tandemly repeated gene cluster of malarial parasites | 2 |
About Radha Rama Devi Akella
Radha Rama Devi Akella is a scholar working on Clinical Biochemistry, Rheumatology and Psychiatry and Mental health, having authored 14 papers that have together received 252 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (6 papers), Biochemical and Molecular Research (4 papers) and Folate and B Vitamins Research (3 papers). The work is most often cited by research in Clinical Biochemistry (56 citations), Cognitive Neuroscience (86 citations) and Psychiatry and Mental health (57 citations). Radha Rama Devi Akella has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Shaik Mohammad Naushad, Govindaiah Vinukonda, Inderneel Sahai, Yuka Aoyama, Roger B. Eaton, Toshiyuki Fukao, Lokesh Lingappa, Chihiro Mori, Rohit Cariappa and Mina Nakama. Their work appears in journals such as Gene, Clinica Chimica Acta and Brain and Development.
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.