Nermina Saucier

703 citations
11 papers · 427 · h-index 7

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Immune Cell Function and Interaction 10
    • T-cell and B-cell Immunology 4
    • Immunodeficiency and Autoimmune Disorders 3
    • Immune cells in cancer 2
    • Cytomegalovirus and herpesvirus research 4

Nermina Saucier

10 papers receiving 425 citations

Peers

Nermina Saucier
Comparison fields: 5 of 56
  • Immunology 376
  • Cancer Research 71
  • Biological Psychiatry 9
  • Oncology 76
  • Virology 12
Replace Molly P. Keppel with:
Molly P. Keppel United States
Allyson Sholl United States
Daniil Shevyrev Russia
Kitty P. Cheung United States
Pietro Miozzo United States
Jordan Loeliger Switzerland
Carlson Tsui United Kingdom
Amir Ferry United States
Katherine S. Forsyth United States
Yukihisa Sawa Japan
Nermina Saucier relative to Molly P. Keppel United States Molly P. Keppel's profile →
Citations per field
00.5×1.5×
Molly P. Keppel · 1×
Citations per year

Countries citing papers authored by Nermina Saucier

Since Specialization
Citations

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

Fields of papers citing papers by Nermina Saucier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2015227
2 2017101
3 202046
4 202119
5 202214
6 20247
7 20226
8 20234
9 20232
10 20251
11 20250

About Nermina Saucier

Nermina Saucier is a scholar working on Immunology, Epidemiology, Molecular Biology, Surgery and Virology, having authored 11 papers that have together received 427 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Cytomegalovirus and herpesvirus research (4 papers), T-cell and B-cell Immunology (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Immune cells in cancer (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), HIV Research and Treatment (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Immunology (376 citations), Cancer Research (71 citations), Biological Psychiatry (9 citations), Oncology (76 citations) and Virology (12 citations). Nermina Saucier has collaborated with scholars based in United States, Qatar and Austria. Frequent co-authors include Megan A. Cooper, Molly P. Keppel, Annelise Y. Mah-Som, Tiphanie P. Vogel, Todd A. Fehniger, Anthony R. French, Emily M. Mace, Armin Rashidi, Sandeep K. Agarwal and Emily K. Jeng. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology, JCI Insight, Journal of Allergy and Clinical Immunology and Cell Reports.

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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