Amiya K. Ghosh
- Molecular Biology top 10%
- Immunology top 10%
- Genetics top 10%
- Cell Biology top 10%
- Physiology
- Co-authors
- Raymond YungMartin O’BrienTheresa MauHamid BandAlagarsamy Lakku ReddiSreyashi BasuSanjay K. GargManjari Dimri
- Topics
- Adipose Tissue and Metabolism (6 papers)Genetic and Kidney Cyst Diseases (6 papers)Adipokines, Inflammation, and Metabolic Diseases (5 papers)
- Cited by
- AgingImmunologyCell Biology
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Amiya K. Ghosh
37 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 837
- Immunology 336
- Genetics 311
- Cell Biology 213
- Physiology 182
Countries citing papers authored by Amiya K. Ghosh
This map shows the geographic impact of Amiya K. Ghosh'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 Amiya K. Ghosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amiya K. Ghosh more than expected).
Fields of papers citing papers by Amiya K. Ghosh
This network shows the impact of papers produced by Amiya K. Ghosh. 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 Amiya K. Ghosh. The network helps show where Amiya K. Ghosh may publish in the future.
Co-authorship network of co-authors of Amiya K. Ghosh
This figure shows the co-authorship network connecting the top 25 collaborators of Amiya K. Ghosh. A scholar is included among the top collaborators of Amiya K. Ghosh 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 Amiya K. Ghosh. Amiya K. Ghosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 60 | |
| 3 | 64 | |
| 4 | 24 | |
| 5 | 35 | |
| 6 | 97 | |
| 7 | 55 | |
| 8 | 34 | |
| 9 | 51 | |
| 10 | 17 | |
| 11 | 113 | |
| 12 | Distribution of different inorganic fractions of arsenic in some soils of West Bengal | 4 |
| 13 | 168 | |
| 14 | Status and Distribution of Arsenic in Alluvium Derived Soils of West Bengal and their Interrelationship with Some Soil Properties | 9 |
| 15 | 20 | |
| 16 | 7 | |
| 17 | 11 | |
| 18 | 24 | |
| 19 | 15 | |
| 20 | Effect of insulin on adrenomedullary catecholamine content and blood glucose level in normal and reserpinized avian species | 3 |
About Amiya K. Ghosh
Amiya K. Ghosh is a scholar working on Aging, Behavioral Neuroscience and Physiology, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Genetic and Kidney Cyst Diseases (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Aging (40 citations), Immunology (336 citations) and Cell Biology (213 citations). Amiya K. Ghosh has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Raymond Yung, Martin O’Brien, Theresa Mau, Hamid Band, Alagarsamy Lakku Reddi, Sreyashi Basu, Sanjay K. Garg, Manjari Dimri, Toby W. Hurd and Navin Rao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Immunity.
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.