Maher K. Gandhi
- Oncology top 1%
- Immunology top 1%
- Pathology and Forensic Medicine top 0.5%
- Epidemiology top 2%
- Molecular Biology
- Co-authors
- Rajiv KhannaJamie P. NourseColm KeaneKimberley JonesDevinder GillFrank VariPaula MarltonJohn F. Seymour
- Topics
- Lymphoma Diagnosis and Treatment (82 papers)Viral-associated cancers and disorders (37 papers)Immune Cell Function and Interaction (36 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Maher K. Gandhi
131 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 108
- Oncology 2.5k
- Immunology 1.7k
- Pathology and Forensic Medicine 1.5k
- Epidemiology 1.1k
- Molecular Biology 690
Countries citing papers authored by Maher K. Gandhi
This map shows the geographic impact of Maher K. Gandhi'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 Maher K. Gandhi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maher K. Gandhi more than expected).
Fields of papers citing papers by Maher K. Gandhi
This network shows the impact of papers produced by Maher K. Gandhi. 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 Maher K. Gandhi. The network helps show where Maher K. Gandhi may publish in the future.
Co-authorship network of co-authors of Maher K. Gandhi
This figure shows the co-authorship network connecting the top 25 collaborators of Maher K. Gandhi. A scholar is included among the top collaborators of Maher K. Gandhi 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 Maher K. Gandhi. Maher K. Gandhi 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 | 1 | |
| 3 | 11 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 15 | |
| 10 | 113 | |
| 11 | 28 | |
| 12 | 231 | |
| 13 | 15 | |
| 14 | 63 | |
| 15 | 107 | |
| 16 | 2 | |
| 17 | 83 | |
| 18 | LAG-3 expressing lymphocytes suppress EBV latent membrane protein-specific T cell function in Hodgkins lymphoma patients | 1 |
| 19 | Febrile neutropenia after hematopoietic stem cell mobilization with chemotherapy and G-CSF does not affect collection of adequate numbers of CD34+ cells. | 2 |
| 20 | Treatment of acute myeloid leukemia (AML) at diagnosis in 99 unselected adults with high dose ARA-C (HIDAC) and mitoxantrone: Long-term follow-up. | 1 |
About Maher K. Gandhi
Maher K. Gandhi is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics, having authored 133 papers that have together received 4.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (82 papers), Viral-associated cancers and disorders (37 papers) and Immune Cell Function and Interaction (36 papers). The work is most often cited by research in Oncology (2.5k citations), Pathology and Forensic Medicine (1.5k citations) and Immunology (1.7k citations). Maher K. Gandhi has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Rajiv Khanna, Jamie P. Nourse, Colm Keane, Kimberley Jones, Devinder Gill, Frank Vari, Paula Marlton, John F. Seymour, Ujjwal Dua and Michael R. Green. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and Journal of Clinical Oncology.
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.