Abby Maizel

2.6k citations
77 papers · 2.2k · h-index 30

Impact in

  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
  • Genetics top 5%

Papers in

    • T-cell and B-cell Immunology 17
    • Immune Cell Function and Interaction 17
    • Immunotherapy and Immune Responses 11
    • Glycosylation and Glycoproteins Research 14

Abby Maizel

76 papers receiving 2.1k citations

Peers

Abby Maizel
Comparison fields: 5 of 98
  • Immunology 1.1k
  • Genetics 177
  • Oncology 450
  • Immunology and Allergy 82
  • Molecular Biology 919
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Abby Maizel relative to András Schaffer United States András Schaffer's profile →
Citations per field
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András Schaffer · 1×
Citations per year

Countries citing papers authored by Abby Maizel

Since Specialization
Citations

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

Fields of papers citing papers by Abby Maizel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Abby Maizel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Abby Maizel Line = papers co-authored together Abby Maizel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mediators in cell growth and differentiation.
1984133
2 198198
3 201587
4 200186
5 198585
6 198182
7 200275
8 199273
9 198271
10 198770
11 198169
12 199363
13 198160
14
Shc proteins are strong, independent prognostic markers for both node-negative and node-positive primary breast cancer.
200356
15 198355
16 200048
17 200747
18 198543
19 200742
20 198140

About Abby Maizel

Abby Maizel is a scholar working on Immunology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 77 papers that have together received 2.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (17 papers), Immune Cell Function and Interaction (17 papers), Monoclonal and Polyclonal Antibodies Research (17 papers), Glycosylation and Glycoproteins Research (14 papers), Immunotherapy and Immune Responses (11 papers), Cancer Immunotherapy and Biomarkers (8 papers), CAR-T cell therapy research (8 papers) and Vitamin D Research Studies (6 papers). The work is most often cited by research in Immunology (1.1k citations), Genetics (177 citations), Oncology (450 citations), Immunology and Allergy (82 citations) and Molecular Biology (919 citations). Abby Maizel has collaborated with scholars based in United States, Spain and France. Frequent co-authors include R. Ford, Shashi Mehta, James P. Morgan, Nicola Kouttab, Dwayne Ford, Lawrence B. Lachman, Akihiro Takeda, Surendra Sharma, Chintaman G. Sahasrabuddhe and D Franzini. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Cellular Immunology.

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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