Devi Ngo

1.0k citations
16 papers · 747 · h-index 15

Impact in

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

Papers in

    • Macrophage Migration Inhibitory Factor 3
    • Immune Response and Inflammation 3
    • Immune Cell Function and Interaction 2
    • NF-κB Signaling Pathways 2

Devi Ngo

16 papers receiving 737 citations

Peers

Devi Ngo
Comparison fields: 5 of 79
  • Immunology 412
  • Pharmaceutical Science 32
  • Dermatology 40
  • Rheumatology 63
  • Oncology 106
Replace Yuwen Su with:
Yuwen Su China
Tamar E. Boursalian United States
Mads Almose Røpke Denmark
Martina Gogarty Ireland
David C. Soler United States
Marianne Bengtson Løvendorf Denmark
Ahmad Jalili United States
Shaobo Yang China
Tao Ma China
Mario Cabrero Manresa United States
Devi Ngo relative to Yuwen Su China Yuwen Su's profile →
Citations per field
00.5×1.5×2×2.5×
Yuwen Su · 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 201077
2 201074
3 201869
4 201357
5 201256
6 201655
7 201752
8 201352
9 201348
10 201448
11 201542
12 201332
13 201829
14 201022
15 201821
16 201713

About Devi Ngo

Devi Ngo is a scholar working on Immunology, Cancer Research, Genetics, Pharmaceutical Science and Oncology, having authored 16 papers that have together received 747 indexed citations. Recurring topics across this work include Macrophage Migration Inhibitory Factor (3 papers), Estrogen and related hormone effects (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), Mesenchymal stem cell research (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Immunology (412 citations), Pharmaceutical Science (32 citations), Dermatology (40 citations), Rheumatology (63 citations) and Oncology (106 citations). Devi Ngo has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Eric Francis Morand, Leilani L. Santos, Huapeng Fan, Élaine Beaulieu, Yuan Hang Yang, Michael J. Hickey, Wenping Kao, Richard Bucala, Ran Gu and Steven Cho. Their work appears in journals such as Arthritis & Rheumatology, The Journal of Immunology, European Heart Journal, Cytokine and Journal of Controlled Release.

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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