Edwin R. Manuel
Impact in
- Biotechnology top 2%
- Cancer Research and Treatments
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
- Immunology 19
- Immune Cell Function and Interaction 9
- Immunotherapy and Immune Responses 9
- T-cell and B-cell Immunology 5
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- Cancer Research and Treatments 14
- Co-authors
- Nancy D. Ebelt (12 shared papers)Monica Marzagalli (2 shared papers)Don J. Diamond (19 shared papers)Teodora Kaltcheva (6 shared papers)Joshua D.I. Ellenhorn (5 shared papers)Bruce R. Blazar (5 shared papers)Leying Zhang (3 shared papers)Behnam Badie (3 shared papers)
- Journals
- Journal of Virology (5 papers)OncoImmunology (3 papers)Cancer Research (3 papers)Cancers (3 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Edwin R. Manuel
39 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 89
- Biotechnology 259
- Immunology 444
- Oncology 409
- Virology 68
- Biological Psychiatry 29
Countries citing papers authored by Edwin R. Manuel
This map shows the geographic impact of Edwin R. Manuel'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 Edwin R. Manuel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edwin R. Manuel more than expected).
Fields of papers citing papers by Edwin R. Manuel
This network shows the impact of papers produced by Edwin R. Manuel. 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 Edwin R. Manuel. The network helps show where Edwin R. Manuel may publish in the future.
Co-authors
The 25 scholars most cited alongside Edwin R. Manuel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 273 | |
| 2 | 2010 | 133 | |
| 3 | 2012 | 80 | |
| 4 | 2011 | 70 | |
| 5 | 2020 | 66 | |
| 6 | 2014 | 57 | |
| 7 | 2015 | 57 | |
| 8 | 2019 | 55 | |
| 9 | 2004 | 53 | |
| 10 | 2017 | 51 | |
| 11 | 2012 | 49 | |
| 12 | 2019 | 47 | |
| 13 | 2004 | 39 | |
| 14 | 2010 | 36 | |
| 15 | 2016 | 33 | |
| 16 | 2019 | 33 | |
| 17 | 2006 | 26 | |
| 18 | 2010 | 25 | |
| 19 | 2021 | 21 | |
| 20 | 2020 | 20 |
About Edwin R. Manuel
Edwin R. Manuel is a scholar working on Immunology, Biotechnology, Oncology, Molecular Biology and Virology, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Research and Treatments (14 papers), Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (9 papers), HIV Research and Treatment (7 papers), Nanoplatforms for cancer theranostics (7 papers), Pancreatic and Hepatic Oncology Research (6 papers), T-cell and B-cell Immunology (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Biotechnology (259 citations), Immunology (444 citations), Oncology (409 citations), Virology (68 citations) and Biological Psychiatry (29 citations). Edwin R. Manuel has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Nancy D. Ebelt, Monica Marzagalli, Don J. Diamond, Teodora Kaltcheva, Joshua D.I. Ellenhorn, Bruce R. Blazar, Leying Zhang, Behnam Badie, Darya Alizadeh and Dongchang Zhao. Their work appears in journals such as Journal of Virology, OncoImmunology, Cancer Research, Cancers and Clinical Cancer Research.
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.