Chandrav De
Impact in
- Parasitology top 10%
- Leptospirosis research and findings
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- CAR-T cell therapy research
Papers in
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- Cytomegalovirus and herpesvirus research 3
- Pneumocystis jirovecii pneumonia detection and treatment 2
- Mycobacterium research and diagnosis 2
- Respiratory viral infections research 2
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- Tuberculosis Research and Epidemiology 2
- Co-authors
- Angela Wahl (6 shared papers)J. Víctor García (6 shared papers)Dong Wang (1 shared paper)T. Deuse (1 shared paper)Alessia Gravina (1 shared paper)Grigol Tediashvili (1 shared paper)Hermann Reichenspurner (1 shared paper)Xiaomeng Hu (1 shared paper)
- Journals
- Journal of Microbiological Methods (1 paper)Antiviral Research (1 paper)Translational research (1 paper)JCI Insight (1 paper)PLoS Pathogens (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Chandrav De
14 papers receiving 770 citations
Chandrav De's Hit Papers
Peers
Comparison fields: 5 of 77
- Parasitology 54
- Oncology 154
- Immunology 120
- Molecular Biology 361
- Infectious Diseases 87
Countries citing papers authored by Chandrav De
This map shows the geographic impact of Chandrav De'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 Chandrav De with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chandrav De more than expected).
Fields of papers citing papers by Chandrav De
This network shows the impact of papers produced by Chandrav De. 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 Chandrav De. The network helps show where Chandrav De may publish in the future.
Co-authors
The 25 scholars most cited alongside Chandrav De, 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 | Hypoimmunogenic derivatives of induced pluripotent stem cells evade immune rejection in fully immunocompetent allogeneic recipients Hit paper breakdown → | 2019 | 533 |
| 2 | 2001 | 60 | |
| 3 | 2022 | 53 | |
| 4 | 2023 | 24 | |
| 5 | 2010 | 21 | |
| 6 | 2023 | 16 | |
| 7 | 2016 | 14 | |
| 8 | 2021 | 13 | |
| 9 | 2008 | 12 | |
| 10 | 1996 | 12 | |
| 11 | 2014 | 12 | |
| 12 | 2009 | 10 | |
| 13 | 2023 | 7 | |
| 14 | 2024 | 2 |
About Chandrav De
Chandrav De is a scholar working on Epidemiology, Infectious Diseases, Immunology, Molecular Biology and Virology, having authored 14 papers that have together received 789 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (3 papers), Immune Cell Function and Interaction (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Tuberculosis Research and Epidemiology (2 papers), Mycobacterium research and diagnosis (2 papers), Respiratory viral infections research (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Parasitology (54 citations), Oncology (154 citations), Immunology (120 citations), Molecular Biology (361 citations) and Infectious Diseases (87 citations). Chandrav De has collaborated with scholars based in United States, India and China. Frequent co-authors include Angela Wahl, J. Víctor García, Dong Wang, T. Deuse, Alessia Gravina, Grigol Tediashvili, Hermann Reichenspurner, Xiaomeng Hu, Sonja Schrepfer and Lewis L. Lanier. Their work appears in journals such as Journal of Microbiological Methods, Antiviral Research, Translational research, JCI Insight and PLoS Pathogens.
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.