Ajit P. Limaye
- Epidemiology top 0.2%
- Infectious Diseases top 0.2%
- Oncology top 0.5%
- Parasitology top 0.5%
- Transplantation top 0.5%
- Co-authors
- Michael BoeckhLawrence CoreyConnie L. DavisKeith R. JeromeDavid M. KoelleMeei‐Li HuangBrad T. CooksonSteven A. Pergam
- Topics
- Cytomegalovirus and herpesvirus research (69 papers)Herpesvirus Infections and Treatments (46 papers)Polyomavirus and related diseases (36 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Ajit P. Limaye
176 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Epidemiology 5.5k
- Infectious Diseases 3.1k
- Oncology 2.7k
- Parasitology 869
- Transplantation 846
Countries citing papers authored by Ajit P. Limaye
This map shows the geographic impact of Ajit P. Limaye'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 Ajit P. Limaye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajit P. Limaye more than expected).
Fields of papers citing papers by Ajit P. Limaye
This network shows the impact of papers produced by Ajit P. Limaye. 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 Ajit P. Limaye. The network helps show where Ajit P. Limaye may publish in the future.
Co-authorship network of co-authors of Ajit P. Limaye
This figure shows the co-authorship network connecting the top 25 collaborators of Ajit P. Limaye. A scholar is included among the top collaborators of Ajit P. Limaye 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 Ajit P. Limaye. Ajit P. Limaye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | Letermovir vs Valganciclovir for Prophylaxis of Cytomegalovirus in High-Risk Kidney Transplant Recipientsbreakdown → | 95 |
| 6 | 10 | |
| 7 | 9 | |
| 8 | 0 | |
| 9 | 20 | |
| 10 | 7 | |
| 11 | 71 | |
| 12 | 48 | |
| 13 | 5 | |
| 14 | 19 | |
| 15 | The IMPACT Study: Valganciclovir Prophylaxis for until 200 Days Post-Transplant in High Risk Kidney Recipients Substantially Reduces the Incidence of CMV Disease. | 10 |
| 16 | 62 | |
| 17 | 37 | |
| 18 | 27 | |
| 19 | 136 | |
| 20 | 178 |
About Ajit P. Limaye
Ajit P. Limaye is a scholar working on Transplantation, Microbiology and Epidemiology, having authored 182 papers that have together received 9.3k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (69 papers), Herpesvirus Infections and Treatments (46 papers) and Polyomavirus and related diseases (36 papers). The work is most often cited by research in Transplantation (846 citations), Infectious Diseases (3.1k citations) and Epidemiology (5.5k citations). Ajit P. Limaye has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael Boeckh, Lawrence Corey, Connie L. Davis, Keith R. Jerome, David M. Koelle, Meei‐Li Huang, Brad T. Cookson, Steven A. Pergam, Katharine A. Kirby and James Ferrenberg. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.