Emma Smith

1.3k citations
15 papers · 919 · 1 hit paper · h-index 11

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology
    • NF-κB Signaling Pathways

Papers in

    • Diabetes and associated disorders 6
    • Immunotherapy and Immune Responses 2
    • T-cell and B-cell Immunology 2

Emma Smith

14 papers receiving 909 citations

Emma Smith's Hit Papers

The Regulation of NF-κB Subunits by Phosphorylation 2016 · 589 citations
5890+3+6Years since publication100200300400500

Peers

Emma Smith
Comparison fields: 5 of 89
  • Immunology 282
  • Cancer Research 158
  • Biological Psychiatry 13
  • Neurology 44
  • Epidemiology 151
Replace Lu Xu with:
Lu Xu China
Yanna Shen China
Duo‐Yao Cao United States
Sinéad M. Miggin Ireland
Ayaka Ito Japan
Ulla G. Knaus United States
D Ortiz‐Masiá Spain
H. Atakan Ekiz United States
Dexi Zhou China
Emma Smith relative to Lu Xu China Lu Xu's profile →
Citations per field
00.5×1.6×
Lu Xu · 1×
Citations per year

Countries citing papers authored by Emma Smith

Since Specialization
Citations

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

Fields of papers citing papers by Emma Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
The Regulation of NF-κB Subunits by Phosphorylation
Hit paper breakdown →
2016589
2 199075
3 200674
4 201853
5 202024
6 201920
7 202217
8 199115
9 202115
10 201815
11 201211
12 20197
13 20183
14 20251
15 20240

About Emma Smith

Emma Smith is a scholar working on Genetics, Immunology, Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 919 indexed citations. Recurring topics across this work include Diabetes and associated disorders (6 papers), Diabetes Management and Research (4 papers), Pancreatic function and diabetes (4 papers), Ubiquitin and proteasome pathways (3 papers), NF-κB Signaling Pathways (3 papers), Immunotherapy and Immune Responses (2 papers), Trypanosoma species research and implications (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (282 citations), Cancer Research (158 citations), Biological Psychiatry (13 citations), Neurology (44 citations) and Epidemiology (151 citations). Emma Smith has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Ruaidhrı́ J. Carmody, Christian Frank, Mark Peakman, C. Michael R. Turner, Martyn K. Robinson, Helene M. Finney, Andrew Nesbitt, Fred Ramsdell, Andrew Tait and Geoff Hide. Their work appears in journals such as Diabetes, Parasitology, Scientific Reports, Australasian Journal of Dermatology and Journal of Biological Chemistry.

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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