Saaketh Desai
- Co-authors
- Alejandro StrachanRémi DingrevilleChunyu LiJoy C. YangZuoqiao WuChristopher P. EvansPeilin LiaoSu Hao Lo
- Topics
- Machine Learning in Materials Science (8 papers)Pneumonia and Respiratory Infections (7 papers)Influenza Virus Research Studies (5 papers)
- Cited by
- MicrobiologyEpidemiologyPhysiology
- Journals
- The Journal of Chemical PhysicsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Saaketh Desai
31 papers receiving 523 citations
Peers
Comparison fields: 5 of 108
- Epidemiology 201
- Materials Chemistry 145
- Molecular Biology 109
- Microbiology 91
- Mechanical Engineering 79
Countries citing papers authored by Saaketh Desai
This map shows the geographic impact of Saaketh Desai'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 Saaketh Desai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saaketh Desai more than expected).
Fields of papers citing papers by Saaketh Desai
This network shows the impact of papers produced by Saaketh Desai. 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 Saaketh Desai. The network helps show where Saaketh Desai may publish in the future.
Co-authorship network of co-authors of Saaketh Desai
This figure shows the co-authorship network connecting the top 25 collaborators of Saaketh Desai. A scholar is included among the top collaborators of Saaketh Desai 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 Saaketh Desai. Saaketh Desai 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 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 21 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 6 | |
| 17 | An Advisory Committee Statement (ACS); National Advisory Committee on Immunization (NACI): an update on the use of conjugate pneumococcal vaccines in childhood. | 12 |
| 18 | 137 | |
| 19 | 4 | |
| 20 | Management of Ontario children with acute lymphoblastic leukemia by the Dana-Farber Cancer Institute protocols. | 7 |
About Saaketh Desai
Saaketh Desai is a scholar working on Microbiology, Structural Biology and Information Systems and Management, having authored 36 papers that have together received 530 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (8 papers), Pneumonia and Respiratory Infections (7 papers) and Influenza Virus Research Studies (5 papers). The work is most often cited by research in Microbiology (91 citations), Epidemiology (201 citations) and Physiology (22 citations). Saaketh Desai has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Alejandro Strachan, Rémi Dingreville, Chunyu Li, Joy C. Yang, Zuoqiao Wu, Christopher P. Evans, Peilin Liao, Su Hao Lo, H J Kung and Pei‐Ching Chang. Their work appears in journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and PLoS ONE.
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.