Maya Zigler

1.4k citations
23 papers · 961 · h-index 17

Impact in

Papers in

    • RNA Interference and Gene Delivery 4
    • Signaling Pathways in Disease 2
    • Immunotherapy and Immune Responses 8
    • Galectins and Cancer Biology 2

Maya Zigler

23 papers receiving 946 citations

Peers

Maya Zigler
Comparison fields: 5 of 77
  • Immunology and Allergy 109
  • Immunology 273
  • Cancer Research 184
  • Oncology 300
  • Hematology 122
Replace Gabriel J. Villares with:
Gabriel J. Villares United States
Robert Tressler United States
Hillary J. Millar United States
Ross Lake United States
Kabir A. Khan United Kingdom
Andreas Enns Germany
Xavier Canron France
Shile Liang United States
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Maya Zigler relative to Gabriel J. Villares United States Gabriel J. Villares's profile →
Citations per field
00.5×1.5×
Gabriel J. Villares · 1×
Citations per year

Countries citing papers authored by Maya Zigler

Since Specialization
Citations

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

Fields of papers citing papers by Maya Zigler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maya Zigler, 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 Maya Zigler Line = papers co-authored together Maya Zigler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008133
2 201281
3 200974
4 201170
5 201068
6 200964
7 200859
8 201051
9 200850
10 200946
11 201141
12 201039
13 201136
14 200834
15 201130
16 201325
17
Cell adhesion: implication in tumor progression.
201020
18 201411
19 201710
20 20168

About Maya Zigler

Maya Zigler is a scholar working on Molecular Biology, Immunology, Oncology, Immunology and Allergy and Cancer Research, having authored 23 papers that have together received 961 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), Cell Adhesion Molecules Research (6 papers), Protease and Inhibitor Mechanisms (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), RNA Interference and Gene Delivery (4 papers), HER2/EGFR in Cancer Research (3 papers), Signaling Pathways in Disease (2 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Immunology and Allergy (109 citations), Immunology (273 citations), Cancer Research (184 citations), Oncology (300 citations) and Hematology (122 citations). Maya Zigler has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Menashe Bar‐Eli, Gabriel J. Villares, Andrey S. Dobroff, Vladislava O. Melnikova, Russell R. Braeuer, Takafumi Kamiya, Hua Wang, Huang Li, Hua Wang and Ran Friedman. Their work appears in journals such as Cancer Research, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, PLoS ONE and Neoplasia.

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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