Maya Kozlowski

2.5k citations
35 papers · 2.1k indexed · h-index 21

Impact in

  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Galectins and Cancer Biology
  • Hepatology top 5%

Papers in

Maya Kozlowski

35 papers receiving 2.0k citations

Peers

Maya Kozlowski
Comparison fields: 5 of 99
  • Immunology 976
  • Hepatology 123
  • Immunology and Allergy 82
  • Molecular Biology 914
  • Oncology 335
Replace Olivier Donzé with:
Olivier Donzé Switzerland
Masaki Hikida Japan
Yongyu Shi China
Kleanthis G. Xanthopoulos United States
Yoshihiro Ueda Japan
Hong Tang China
Ming Guo United States
Abdallah Badou Morocco
Masayuki Sekimata Japan
Marco R. Soria Italy
Maya Kozlowski relative to Olivier Donzé Switzerland Olivier Donzé's profile →
Citations per field
00.5×1.5×
Olivier Donzé · 1×
Citations per year

Countries citing papers authored by Maya Kozlowski

Since Specialization
Citations

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

Fields of papers citing papers by Maya Kozlowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 201717
3 201755
4 201517
5 20131
6 201330
7 201141
8 20091
9 2004116
10 200372
11 20031
12 200376
13 200260
14 200242
15 200120
16 2001274
17 1995216
18 1993211
19 19882
20 198716

About Maya Kozlowski

Maya Kozlowski is a scholar working on Immunology, Hepatology, Cancer Research, Immunology and Allergy and Oncology, having authored 35 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (9 papers), Hepatitis B Virus Studies (7 papers), Protein Tyrosine Phosphatases (6 papers), Hepatitis C virus research (5 papers), Galectins and Cancer Biology (4 papers), NF-κB Signaling Pathways (4 papers), Bacterial Genetics and Biotechnology (3 papers) and Legume Nitrogen Fixing Symbiosis (3 papers). The work is most often cited by research in Immunology (976 citations), Hepatology (123 citations), Immunology and Allergy (82 citations), Molecular Biology (914 citations) and Oncology (335 citations). Maya Kozlowski has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Katrina Gee, Ashok Kumar, Katherine A. Siminovitch, Wilfred Lim, Wei Ma, Francisco Díaz‐Mitoma, Devki Nandan, Ashok Kumar, Gordon B. Mills and K A Siminovitch. Their work appears in journals such as The Journal of Immunology, Gene, The Journal of Experimental Medicine, Journal of Biological Chemistry and The Journal of Cell Biology.

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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