John Samuel
- Pharmaceutical Science top 0.5%
- Advanced Drug Delivery Systems 6
- Immunology top 1%
- Immunotherapy and Immune Responses 37
- Immune Cell Function and Interaction 11
- Immune Response and Inflammation 7
- T-cell and B-cell Immunology 7
- Biomaterials top 0.5%
- Molecular Medicine top 1%
- Molecular Biology top 5%
- RNA Interference and Gene Delivery 21
- Glycosylation and Glycoproteins Research 10
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- Monoclonal and Polyclonal Antibodies Research 11
- Co-authors
- Glen S. KwonAfsaneh LavasanifarPraveen ElamanchiliSamar HamdyAzita HaddadiManish DiwanOmmoleila MolaviAws Alshamsan
- Journals
- Journal of Pharmaceutical Sciences (7 papers)Journal of Controlled Release (4 papers)Cancer Immunology Immunotherapy (4 papers)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
John Samuel
79 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Pharmaceutical Science 756
- Immunology 1.9k
- Biomaterials 1.1k
- Molecular Medicine 349
- Molecular Biology 2.4k
Countries citing papers authored by John Samuel
This map shows the geographic impact of John Samuel'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 John Samuel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Samuel more than expected).
Fields of papers citing papers by John Samuel
This network shows the impact of papers produced by John Samuel. 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 John Samuel. The network helps show where John Samuel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Samuel, 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 | 2024 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 14 | |
| 6 | 2022 | 33 | |
| 7 | 2021 | 21 | |
| 8 | 2021 | 10 | |
| 9 | 2016 | 13 | |
| 10 | 2014 | 24 | |
| 11 | 2011 | 84 | |
| 12 | 2010 | 17 | |
| 13 | 2009 | 62 | |
| 14 | 2009 | 31 | |
| 15 | 2004 | 117 | |
| 16 | Analysis of peptide and lipopeptide content in liposomes. | 2003 | 13 |
| 17 | 2003 | 88 | |
| 18 | 2001 | 49 | |
| 19 | 2000 | 31 | |
| 20 | 1998 | 64 |
About John Samuel
John Samuel is a scholar working on Immunology, Pharmaceutical Science, Microbiology, Toxicology and Molecular Biology, having authored 79 papers that have together received 5.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (37 papers), RNA Interference and Gene Delivery (21 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Immune Cell Function and Interaction (11 papers), Glycosylation and Glycoproteins Research (10 papers), Immune Response and Inflammation (7 papers), T-cell and B-cell Immunology (7 papers) and Advanced Drug Delivery Systems (6 papers). The work is most often cited by research in Pharmaceutical Science (756 citations), Immunology (1.9k citations), Biomaterials (1.1k citations), Molecular Medicine (349 citations) and Molecular Biology (2.4k citations). John Samuel has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Glen S. Kwon, Afsaneh Lavasanifar, Praveen Elamanchili, Samar Hamdy, Azita Haddadi, Manish Diwan, Ommoleila Molavi, Aws Alshamsan, Zengshuan Ma and Kimberley D. Newman. Their work appears in journals such as Journal of Pharmaceutical Sciences, Journal of Controlled Release, Cancer Immunology Immunotherapy, Journal of Biomedical Materials Research Part A and Molecular Pharmaceutics.
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.