G Majumdar
- Immunology
- Public Health, Environmental and Occupational Health top 10%
- Infectious Diseases
- Molecular Biology
- Epidemiology
- Co-authors
- Mark A. TomaiE H BeacheyMalak KotbMichael E. DockterJacob AelionDominic G. SpinellaIvan GerlingHiroo Ohnishi
- Topics
- Streptococcal Infections and Treatments (4 papers)Immune Response and Inflammation (3 papers)Healthcare and Venom Research (2 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineThe Journal of Immunology
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
G Majumdar
13 papers receiving 332 citations
Peers
Comparison fields: 5 of 64
- Immunology 177
- Public Health, Environmental and Occupational Health 154
- Infectious Diseases 101
- Molecular Biology 54
- Epidemiology 51
Countries citing papers authored by G Majumdar
This map shows the geographic impact of G Majumdar'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 G Majumdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Majumdar more than expected).
Fields of papers citing papers by G Majumdar
This network shows the impact of papers produced by G Majumdar. 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 G Majumdar. The network helps show where G Majumdar may publish in the future.
Co-authorship network of co-authors of G Majumdar
This figure shows the co-authorship network connecting the top 25 collaborators of G Majumdar. A scholar is included among the top collaborators of G Majumdar 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 G Majumdar. G Majumdar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 13 | |
| 3 | 24 | |
| 4 | 4 | |
| 5 | 73 | |
| 6 | 131 | |
| 7 | 41 | |
| 8 | Biochemical studies of liver & liver microsomes in envenomated rats. | 1 |
| 9 | 22 | |
| 10 | Effect of envenomation on enzymes of brain of albino rats. | 3 |
| 11 | A monoclonal antibody which identifies the autophosphorylation domain of autophosphorylating protein kinase 500. | 1 |
| 12 | Effect of envenomation on different lipid profiles of liver microsomal fractions of albino rats. | 1 |
| 13 | 1 |
About G Majumdar
G Majumdar is a scholar working on Immunology, Public Health, Environmental and Occupational Health and Microbiology, having authored 13 papers that have together received 346 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (4 papers), Immune Response and Inflammation (3 papers) and Healthcare and Venom Research (2 papers). The work is most often cited by research in Immunology (177 citations), Infectious Diseases (101 citations) and Public Health, Environmental and Occupational Health (154 citations). G Majumdar has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Mark A. Tomai, E H Beachey, Malak Kotb, Malak Kotb, Michael E. Dockter, Jacob Aelion, Dominic G. Spinella, Ivan Gerling, Hiroo Ohnishi and S. Solomon. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.
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.