Ineavely Báez

457 citations
19 papers · 341 indexed · h-index 10
Topics
Immune Cell Function and Interaction (8 papers)T-cell and B-cell Immunology (7 papers)HIV Research and Treatment (4 papers)

In The Last Decade

Ineavely Báez

18 papers receiving 333 citations

Peers

Ineavely Báez
Comparison fields: 5 of 67
  • Immunology 212
  • Molecular Biology 70
  • Hematology 60
  • Oncology 38
  • Genetics 27
Replace Gajendra S. Naika with:
Gajendra S. Naika United States
Yasuhiko Makino Japan
Carla Alliaudi Italy
Golde Dw United States
Shiori Shikata Japan
Romina Pecce Italy
Zhigang Chen United States
Kejian Zhu China
Steven C. Gilman United States
Ineavely Báez relative to Gajendra S. Naika United States Gajendra S. Naika's profile →
Citations per field
00.5×2.6×
Gajendra S. Naika · 1×
Citations per year

Countries citing papers authored by Ineavely Báez

Since Specialization
Citations

This map shows the geographic impact of Ineavely Báez'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 Ineavely Báez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ineavely Báez more than expected).

Fields of papers citing papers by Ineavely Báez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ineavely Báez. 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 Ineavely Báez. The network helps show where Ineavely Báez may publish in the future.

Co-authorship network of co-authors of Ineavely Báez

This figure shows the co-authorship network connecting the top 25 collaborators of Ineavely Báez. A scholar is included among the top collaborators of Ineavely Báez 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 Ineavely Báez. Ineavely Báez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 3
2 1
3 1
4 29
5 1
6 57
7 24
8 20
9 70
10 0
11 12
12
The proliferative response of HIV+ T-cells (CD4+ and CD8+) are severely suppressed via CD28 coactivation.
1
13 24
14
Sustained levels of ascorbic acid are toxic and immunosuppressive for human T cells.
15
15
Suppressed proliferative response and interleukin-2 production in hispanic HIV+ and AIDS T-cell subsets.
4
16
N-acetylcysteine (NAC) enhances interleukin-2 but suppresses interleukin-4 secretion from normal and HIV+ CD4+ T-cells.
11
17 1
18 64
19 3

About Ineavely Báez

Ineavely Báez is a scholar working on Virology, Immunology and Aging, having authored 19 papers that have together received 341 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers) and HIV Research and Treatment (4 papers). The work is most often cited by research in Immunology (212 citations), Hematology (60 citations) and Virology (22 citations). Ineavely Báez has collaborated with scholars based in United States, Puerto Rico and Taiwan. Frequent co-authors include Kimberly J. Payne, Carmen M. Mercado, Carmen Molina, Lisa Borghesi, Ying Ding, Yujuan Wang, Aimé Vázquez, Ailing Liu, Nathan R. Wall and Sinisa Dovat. Their work appears in journals such as Blood, The Journal of Immunology and 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.

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