Margaret E. Gatti‐Mays

2.7k citations
74 papers · 1.1k indexed · h-index 16
Topics
Cancer Immunotherapy and Biomarkers (25 papers)Immunotherapy and Immune Responses (17 papers)HER2/EGFR in Cancer Research (10 papers)

In The Last Decade

Margaret E. Gatti‐Mays

61 papers receiving 1.1k citations

Peers

Margaret E. Gatti‐Mays
Comparison fields: 5 of 83
  • Oncology 746
  • Immunology 539
  • Molecular Biology 306
  • Pulmonary and Respiratory Medicine 170
  • Cancer Research 137
Replace Spencer D. Martin with:
Spencer D. Martin Canada
Marco Greppi Italy
Maartje C.A. Wouters Netherlands
Sviatoslav M. Kendall United States
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Minish Jain United States
Mevyn Nizard France
Italia Grenga United States
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Margaret E. Gatti‐Mays relative to Spencer D. Martin Canada Spencer D. Martin's profile →
Citations per field
00.5×3.9×
Spencer D. Martin · 1×
Citations per year

Countries citing papers authored by Margaret E. Gatti‐Mays

Since Specialization
Citations

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

Fields of papers citing papers by Margaret E. Gatti‐Mays

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret E. Gatti‐Mays. 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 Margaret E. Gatti‐Mays. The network helps show where Margaret E. Gatti‐Mays may publish in the future.

Co-authorship network of co-authors of Margaret E. Gatti‐Mays

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret E. Gatti‐Mays. A scholar is included among the top collaborators of Margaret E. Gatti‐Mays 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 Margaret E. Gatti‐Mays. Margaret E. Gatti‐Mays 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 2
2 0
3 4
4 1
5 6
6 14
7 9
8 1
9 3
10 0
11 2
12 30
13 89
14 13
15 5
16 20
17 45
18 8
19 88
20 15

About Margaret E. Gatti‐Mays

Margaret E. Gatti‐Mays is a scholar working on Oncology, Cancer Research and Immunology, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (25 papers), Immunotherapy and Immune Responses (17 papers) and HER2/EGFR in Cancer Research (10 papers). The work is most often cited by research in Oncology (746 citations), Immunology (539 citations) and Cancer Research (137 citations). Margaret E. Gatti‐Mays has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include James L. Gulley, Marijo Bilušić, Julie Collins, Julius Strauss, Jason M. Redman, Jeffrey Schlom, Renee N. Donahue, Jennifer L. Marté, Ravi A. Madan and Zihai Li. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research 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.

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