Wynetta Giles‐Davis

2.1k total citations · 1 hit paper
31 papers, 1.7k citations indexed

About

Wynetta Giles‐Davis is a scholar working on Genetics, Immunology and Epidemiology. According to data from OpenAlex, Wynetta Giles‐Davis has authored 31 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 19 papers in Immunology and 9 papers in Epidemiology. Recurrent topics in Wynetta Giles‐Davis's work include Virus-based gene therapy research (20 papers), Immunotherapy and Immune Responses (18 papers) and CAR-T cell therapy research (6 papers). Wynetta Giles‐Davis is often cited by papers focused on Virus-based gene therapy research (20 papers), Immunotherapy and Immune Responses (18 papers) and CAR-T cell therapy research (6 papers). Wynetta Giles‐Davis collaborates with scholars based in United States, Brazil and Poland. Wynetta Giles‐Davis's co-authors include Hildegund C.J. Ertl, Zhiquan Xiang, Anthony P Wlazlo, James M. Wilson, Julie C. Fitzgerald, Marcio O. Lasaro, Kimberly McCoy, Dongming Zhou, Scott E. Hensley and Zhi Quan Xiang and has published in prestigious journals such as The Journal of Immunology, Cancer Cell and Journal of Virology.

In The Last Decade

Wynetta Giles‐Davis

29 papers receiving 1.6k citations

Hit Papers

Enhancing CD8+ T Cell Fatty Acid Catabolism within a Meta... 2017 2026 2020 2023 2017 100 200 300 400

Peers

Wynetta Giles‐Davis
Comparison fields: 5 of 70
  • Immunology 743
  • Genetics 688
  • Molecular Biology 605
  • Oncology 508
  • Epidemiology 368
Replace Lisa Kierstead with:
Lisa Kierstead United States
Rebecca S. LaRue United States
Phonphimon Wongthida United States
Caroline Demeret France
Jin‐Hyun Ahn South Korea
Christina Paulus Germany
Carole Evelegh Canada
Hiroki Isomura Japan
Carolina S. Ilkow Canada
Jana M. Ellegast United States
Lisa Kierstead United States View profile →
Citations per field, relative to Wynetta Giles‐Davis
Wynetta Giles‐Davis · 1×
Citations per year, relative to Wynetta Giles‐Davis
Wynetta Giles‐Davis · 1×

Countries citing papers authored by Wynetta Giles‐Davis

Since Specialization
Citations

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

Fields of papers citing papers by Wynetta Giles‐Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wynetta Giles‐Davis. 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 Wynetta Giles‐Davis. The network helps show where Wynetta Giles‐Davis may publish in the future.

Co-authorship network of co-authors of Wynetta Giles‐Davis

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 8
2 9
3 19
4 23
5 49
6 8
7 42
8 35
9 86
10 60
11 26
12 177
13 97
14 1
15 21
16 15
17 23
18 6
19 17
20 24

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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