Manisit Das
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Immunotherapy and Immune Responses 6
-
- RNA Interference and Gene Delivery 3
- Advanced biosensing and bioanalysis techniques 2
- Co-authors
- Leaf Huang (10 shared papers)Qi Liu (3 shared papers)Jianfeng Guo (1 shared paper)Zhuo Yu (1 shared paper)Tyler J. Goodwin (3 shared papers)Yun Liu (2 shared papers)Wantong Song (4 shared papers)Limei Shen (3 shared papers)
- Journals
- ACS Nano (3 papers)CHEST Journal (1 paper)Advanced Drug Delivery Reviews (1 paper)European Respiratory Journal (1 paper)Trends in cancer (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Manisit Das
17 papers receiving 821 citations
Peers
Comparison fields: 5 of 83
- Immunology 331
- Biomaterials 206
- Oncology 288
- Biomedical Engineering 336
- Pharmaceutical Science 36
Countries citing papers authored by Manisit Das
This map shows the geographic impact of Manisit Das'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 Manisit Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manisit Das more than expected).
Fields of papers citing papers by Manisit Das
This network shows the impact of papers produced by Manisit Das. 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 Manisit Das. The network helps show where Manisit Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Manisit Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 178 | |
| 2 | 2017 | 120 | |
| 3 | 2017 | 117 | |
| 4 | 2018 | 106 | |
| 5 | 2018 | 78 | |
| 6 | 2019 | 37 | |
| 7 | 2020 | 35 | |
| 8 | 2018 | 28 | |
| 9 | 2018 | 27 | |
| 10 | 2015 | 23 | |
| 11 | 2014 | 22 | |
| 12 | 2022 | 19 | |
| 13 | 2020 | 13 | |
| 14 | 2024 | 11 | |
| 15 | 2020 | 8 | |
| 16 | 2016 | 7 | |
| 17 | 2024 | 1 | |
| 18 | 2026 | 0 |
About Manisit Das
Manisit Das is a scholar working on Immunology, Molecular Biology, Oncology, Biomedical Engineering and Biomaterials, having authored 18 papers that have together received 830 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Nanoplatforms for cancer theranostics (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Nanoparticle-Based Drug Delivery (3 papers), RNA Interference and Gene Delivery (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Biosensors and Analytical Detection (1 paper). The work is most often cited by research in Immunology (331 citations), Biomaterials (206 citations), Oncology (288 citations), Biomedical Engineering (336 citations) and Pharmaceutical Science (36 citations). Manisit Das has collaborated with scholars based in United States, India and China. Frequent co-authors include Leaf Huang, Qi Liu, Jianfeng Guo, Zhuo Yu, Tyler J. Goodwin, Yun Liu, Wantong Song, Limei Shen, Rihe Liu and Lei Miao. Their work appears in journals such as ACS Nano, CHEST Journal, Advanced Drug Delivery Reviews, European Respiratory Journal and Trends in cancer.
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.