V C Maino
- Immunology top 1%
- Epidemiology top 5%
- Molecular Biology
- Oncology top 10%
- Virology top 5%
- Co-authors
- Peter OpenshawKenneth M. MurphyAnne O’GarraKenneth A. DavisNancy HoskenLouis J. PickerD. M. PetersonEllen Murphy
- Topics
- Immune Cell Function and Interaction (12 papers)T-cell and B-cell Immunology (9 papers)Immunotherapy and Immune Responses (7 papers)
- Cited by
- ImmunologyVirologyEpidemiology
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- United StatesTanzaniaFrance
In The Last Decade
V C Maino
21 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Immunology 1.8k
- Epidemiology 498
- Molecular Biology 371
- Oncology 301
- Virology 220
Countries citing papers authored by V C Maino
This map shows the geographic impact of V C Maino'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 V C Maino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V C Maino more than expected).
Fields of papers citing papers by V C Maino
This network shows the impact of papers produced by V C Maino. 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 V C Maino. The network helps show where V C Maino may publish in the future.
Co-authorship network of co-authors of V C Maino
This figure shows the co-authorship network connecting the top 25 collaborators of V C Maino. A scholar is included among the top collaborators of V C Maino 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 V C Maino. V C Maino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | Flow cytometric measurement of intracellular cytokines detects immune responses in MUC1 immunotherapy. | 52 |
| 3 | 92 | |
| 4 | 472 | |
| 5 | 24 | |
| 6 | 371 | |
| 7 | Heterogeneity of intracellular cytokine synthesis at the single-cell level in polarized T helper 1 and T helper 2 populations.breakdown → | 509 |
| 8 | 453 | |
| 9 | 14 | |
| 10 | 65 | |
| 11 | 43 | |
| 12 | 5 | |
| 13 | 12 | |
| 14 | 40 | |
| 15 | 19 | |
| 16 | 47 | |
| 17 | 9 | |
| 18 | 36 | |
| 19 | 9 | |
| 20 | 132 |
About V C Maino
V C Maino is a scholar working on Immunology, Virology and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (9 papers) and Immunotherapy and Immune Responses (7 papers). The work is most often cited by research in Immunology (1.8k citations), Virology (220 citations) and Epidemiology (498 citations). V C Maino has collaborated with scholars based in United States, Tanzania and France. Frequent co-authors include Peter Openshaw, Kenneth M. Murphy, Anne O’Garra, Kenneth A. Davis, Nancy Hosken, Louis J. Picker, D. M. Peterson, Ellen Murphy, M. K. Singh and PR Bergstresser. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.