Devi Ngo

982 citations
16 papers · 706 · h-index 15

Impact in

  • Immunology top 5%
    • Immune Response and Inflammation
    • Macrophage Migration Inhibitory Factor
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Psoriasis: Treatment and Pathogenesis
  • Dermatology top 10%

Papers in

    • Macrophage Migration Inhibitory Factor 3
    • Immune Response and Inflammation 3
    • Immune Cell Function and Interaction 2
    • S100 Proteins and Annexins 2
    • FOXO transcription factor regulation 1

Devi Ngo

16 papers receiving 702 citations

Peers

Devi Ngo
Comparison fields: 5 of 79
  • Immunology 391
  • Dermatology 40
  • Pharmaceutical Science 30
  • Rheumatology 58
  • Cancer Research 56
Replace Niki Karagianni with:
Niki Karagianni Greece
Yuwen Su China
Tamar E. Boursalian United States
Martina Gogarty Ireland
Bobby Y. Reddy United States
Ahmad Jalili United States
Shaobo Yang China
Enyu Huang China
Nicolas Hall United Kingdom
Deshea L Harris United States
Devi Ngo relative to Niki Karagianni Greece Niki Karagianni's profile →
Citations per field
00.5×1.5×1.8×
Niki Karagianni · 1×
Citations per year

Countries citing papers authored by Devi Ngo

Since Specialization
Citations

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

Fields of papers citing papers by Devi Ngo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201075
2 201071
3 201866
4 201256
5 201353
6 201651
7 201349
8 201748
9 201345
10 201444
11 201536
12 201331
13 201829
14 201020
15 201820
16 201712

About Devi Ngo

Devi Ngo is a scholar working on Immunology, Molecular Biology, Genetics, Cancer Research and Oncology, having authored 16 papers that have together received 706 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (3 papers), Macrophage Migration Inhibitory Factor (3 papers), Immune Response and Inflammation (3 papers), NF-κB Signaling Pathways (2 papers), S100 Proteins and Annexins (2 papers), Immune Cell Function and Interaction (2 papers), FOXO transcription factor regulation (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Immunology (391 citations), Dermatology (40 citations), Pharmaceutical Science (30 citations), Rheumatology (58 citations) and Cancer Research (56 citations). Devi Ngo has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Eric F. Morand, Leilani L. Santos, Élaine Beaulieu, Huapeng Fan, Yuan Yang, Michael J. Hickey, Wenping Kao, Ran Gu, Claudia A. Nold‐Petry and Steven Cho. Their work appears in journals such as Arthritis & Rheumatology, The Journal of Immunology, Cytokine, Journal of Leukocyte Biology and Science 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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