Gourab Mukherjee
- Immunology
- Infectious Diseases top 10%
- Epidemiology
- Virology top 10%
- Molecular Biology
- Co-authors
- Adrish SenNandini SenAnn M. ArvinHarry B. GreenbergIain M. JohnstoneLusijah RottGarry P. NolanPhillip Sung
- Topics
- Statistical Methods and Inference (9 papers)Statistical Methods and Bayesian Inference (4 papers)Herpesvirus Infections and Treatments (4 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Gourab Mukherjee
21 papers receiving 381 citations
Peers
Comparison fields: 5 of 89
- Immunology 141
- Infectious Diseases 122
- Epidemiology 84
- Virology 73
- Molecular Biology 68
Countries citing papers authored by Gourab Mukherjee
This map shows the geographic impact of Gourab Mukherjee'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 Gourab Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gourab Mukherjee more than expected).
Fields of papers citing papers by Gourab Mukherjee
This network shows the impact of papers produced by Gourab Mukherjee. 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 Gourab Mukherjee. The network helps show where Gourab Mukherjee may publish in the future.
Co-authorship network of co-authors of Gourab Mukherjee
This figure shows the co-authorship network connecting the top 25 collaborators of Gourab Mukherjee. A scholar is included among the top collaborators of Gourab Mukherjee 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 Gourab Mukherjee. Gourab Mukherjee 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 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family | 0 |
| 6 | 0 | |
| 7 | 28 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 55 | |
| 12 | 2 | |
| 13 | 16 | |
| 14 | 12 | |
| 15 | 25 | |
| 16 | 72 | |
| 17 | 1 | |
| 18 | 65 | |
| 19 | 2 | |
| 20 | Clinical evaluation and surgical intervention of limbal dermoid. | 22 |
About Gourab Mukherjee
Gourab Mukherjee is a scholar working on Statistics and Probability, Virology and Marketing, having authored 25 papers that have together received 386 indexed citations. Recurring topics across this work include Statistical Methods and Inference (9 papers), Statistical Methods and Bayesian Inference (4 papers) and Herpesvirus Infections and Treatments (4 papers). The work is most often cited by research in Virology (73 citations), Immunology (141 citations) and Infectious Diseases (122 citations). Gourab Mukherjee has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Adrish Sen, Nandini Sen, Ann M. Arvin, Harry B. Greenberg, Iain M. Johnstone, Lusijah Rott, Garry P. Nolan, Phillip Sung, Sean C. Bendall and Peter Radchenko. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.