Madhumouli Chatterjee
- Immunology top 10%
- Infectious Diseases
- Epidemiology
- Molecular Biology
- Parasitology top 10%
- Co-authors
- Gary M. WinslowRachael RacineKatherine C. MacNamaraCox TerhorstGeorge C. TsokosAndrea M. CooperDavid L. WoodlandWilliam W. Reiley
- Topics
- T-cell and B-cell Immunology (6 papers)Immune Cell Function and Interaction (4 papers)Immunotherapy and Immune Responses (3 papers)
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Madhumouli Chatterjee
17 papers receiving 446 citations
Peers
Comparison fields: 5 of 60
- Immunology 297
- Infectious Diseases 109
- Epidemiology 67
- Molecular Biology 50
- Parasitology 45
Countries citing papers authored by Madhumouli Chatterjee
This map shows the geographic impact of Madhumouli Chatterjee'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 Madhumouli Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhumouli Chatterjee more than expected).
Fields of papers citing papers by Madhumouli Chatterjee
This network shows the impact of papers produced by Madhumouli Chatterjee. 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 Madhumouli Chatterjee. The network helps show where Madhumouli Chatterjee may publish in the future.
Co-authorship network of co-authors of Madhumouli Chatterjee
This figure shows the co-authorship network connecting the top 25 collaborators of Madhumouli Chatterjee. A scholar is included among the top collaborators of Madhumouli Chatterjee 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 Madhumouli Chatterjee. Madhumouli Chatterjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 21 | |
| 5 | 36 | |
| 6 | 58 | |
| 7 | 49 | |
| 8 | 20 | |
| 9 | Characterization of arylsulphatase A in a 70 kDa protein isolated from goat spermatozoa having Na+, K+-ATPase inhibitory activity | 1 |
| 10 | 10 | |
| 11 | 12 | |
| 12 | 14 | |
| 13 | 48 | |
| 14 | 81 | |
| 15 | 1 | |
| 16 | 92 | |
| 17 | Mechanism of regulation of phosphorylation-dephosphorylation of Ca2+, Mg2+ and Ca2+ -Atpases by modulator proteins isolated from rat brain cytosol. | 3 |
About Madhumouli Chatterjee
Madhumouli Chatterjee is a scholar working on Immunology, Parasitology and Reproductive Medicine, having authored 17 papers that have together received 449 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Immunology (297 citations), Parasitology (45 citations) and Infectious Diseases (109 citations). Madhumouli Chatterjee has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Gary M. Winslow, Rachael Racine, Katherine C. MacNamara, Cox Terhorst, George C. Tsokos, Andrea M. Cooper, David L. Woodland, William W. Reiley, Katalin Kis‐Tóth and Christian M. Hedrich. Their work appears in journals such as Journal of Biological Chemistry, Blood 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.