Michelle Vaz

2.0k citations
17 papers · 1.0k · h-index 12

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

Michelle Vaz

17 papers receiving 1.0k citations

Peers

Michelle Vaz
Comparison fields: 5 of 87
  • Cancer Research 179
  • Immunology 261
  • Oncology 307
  • Molecular Biology 584
  • Pulmonary and Respiratory Medicine 124
Replace Mark G. Cadungog with:
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Quanhong Sun United States
Zhangyan Guo China
Alice Guyard France
Zhuoshun Yang China
Fulin Qiang China
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Michelle Vaz relative to Mark G. Cadungog United States Mark G. Cadungog's profile →
Citations per field
00.5×1.6×
Mark G. Cadungog · 1×
Citations per year

Countries citing papers authored by Michelle Vaz

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Vaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2017350
2 2019305
3 2017141
4 200843
5 201740
6 201231
7 200827
8 201120
9 201217
10 202115
11 202113
12 202011
13 20238
14 20237
15 20146
16 20223
17 20101

About Michelle Vaz

Michelle Vaz is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), NF-κB Signaling Pathways (3 papers), Neonatal and Maternal Infections (3 papers), Neonatal Respiratory Health Research (3 papers), Streptococcal Infections and Treatments (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Pneumonia and Respiratory Infections (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Cancer Research (179 citations), Immunology (261 citations), Oncology (307 citations), Molecular Biology (584 citations) and Pulmonary and Respiratory Medicine (124 citations). Michelle Vaz has collaborated with scholars based in United States and Germany. Frequent co-authors include Stephen B. Baylin, Michael J. Topper, Julie R. Brahmer, Kristen A. Marrone, Sekhar P. Reddy, Cynthia A. Zahnow, Victor E. Velculescu, Noushin Niknafs, Meredith L. Stone and Phuoc T. Tran. Their work appears in journals such as American Journal of Respiratory Cell and Molecular Biology, American Journal of Perinatology, Biochemical and Biophysical Research Communications, The Journal of Maternal-Fetal & Neonatal Medicine and Microbiology Spectrum.

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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