Megan M. Davis

8.0k citations
28 papers · 1.1k indexed · 1 hit paper · h-index 12
Topics
CAR-T cell therapy research (23 papers)Viral Infectious Diseases and Gene Expression in Insects (7 papers)Virus-based gene therapy research (5 papers)

In The Last Decade

Megan M. Davis

28 papers receiving 1.1k citations

Hit Papers

Deletion of the inhibitory co-receptor CTLA-4 enhances an...20232026202420252023255075100

Peers

Megan M. Davis
Comparison fields: 5 of 70
  • Oncology 804
  • Molecular Biology 493
  • Immunology 288
  • Biomedical Engineering 230
  • Genetics 218
Replace Martín Bonamino with:
Martín Bonamino Brazil
Lauren Giuffrida Australia
Henia Darr United States
Darya Alizadeh United States
Kristina Wikström Sweden
Shinako Takimoto United States
Leah Alabanza United States
Avraham J. Treves Israel
Benjamin A. Schwarz United States
Ana Kostić United States
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Citations per field
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Citations per year

Countries citing papers authored by Megan M. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Megan M. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan M. 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 Megan M. Davis. The network helps show where Megan M. Davis may publish in the future.

Co-authorship network of co-authors of Megan M. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Megan M. Davis. A scholar is included among the top collaborators of Megan M. 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 Megan M. Davis. Megan M. 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
#WorkIndexed citations
1 5
2 11
3 1
4 36
5
Deletion of the inhibitory co-receptor CTLA-4 enhances and invigorates chimeric antigen receptor T cellsbreakdown →
104
6 82
7 2
8 23
9 43
10 53
11 148
12 212
13 22
14 62
15 10
16 72
17 1
18 6
19 4
20 140

About Megan M. Davis

Megan M. Davis is a scholar working on Oncology, Immunology and Genetics, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include CAR-T cell therapy research (23 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Oncology (804 citations), Immunology (288 citations) and Hematology (92 citations). Megan M. Davis has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Joseph A. Fraietta, J. Joseph Melenhorst, Carl H. June, Bruce L. Levine, Simon F. Lacey, Michael C. Milone, Xiaodong Ren, Nancy C. Kupina, Gerald P. Schielke and Rathna Nath. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

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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