Clive Smith

853 citations
13 papers · 772 · h-index 8

Impact in

    • NF-κB Signaling Pathways
  • Immunology top 10%
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Atherosclerosis and Cardiovascular Diseases

Papers in

    • NF-κB Signaling Pathways 6
    • Immune Response and Inflammation 2
    • Immunotherapy and Immune Responses 1

Clive Smith

13 papers receiving 753 citations

Peers

Clive Smith
Comparison fields: 5 of 69
  • Cancer Research 185
  • Immunology 230
  • Rheumatology 114
  • Biological Psychiatry 5
  • Oncology 64
Replace U Dendorfer with:
U Dendorfer Germany
Sascha Hasan United States
Ji‐Qing Chen United States
Tieu‐Lan Chau Belgium
Jianyi H. Huang United States
Ivy Kwan Canada
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N Pépin Canada
Kelly Verhelst Belgium
Zhanchuan Ma China
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Citations per field
00.5×1.5×2×2.4×
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Citations per year

Countries citing papers authored by Clive Smith

Since Specialization
Citations

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

Fields of papers citing papers by Clive Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2000193
2 2003186
3 2002116
4 200176
5 200362
6 200361
7 199940
8 200218
9 20037
10
Distinct pathways of LPS-induced NF-kappa B activation and cytokine production in human myeloid and nonmyeloid cells defined by selective utilization of MyD88 and Mal/TIRAP
20047
11 20233
12 20242
13 20071

About Clive Smith

Clive Smith is a scholar working on Cancer Research, Immunology, Hematology, Rheumatology and Genetics, having authored 13 papers that have together received 772 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (6 papers), Hemophilia Treatment and Research (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Immune Response and Inflammation (2 papers), Estrogen and related hormone effects (1 paper), Virus-based gene therapy research (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Cancer Research (185 citations), Immunology (230 citations), Rheumatology (114 citations), Biological Psychiatry (5 citations) and Oncology (64 citations). Clive Smith has collaborated with scholars based in United Kingdom and Austria. Frequent co-authors include Brian M. J. Foxwell, Evangelos Andreakos, Marc Feldmann, Irina A. Udalova, Fionula M. Brennan, Agnès Denys, Dominic P. Kwiatkowski, Claudia Gianini Monaco, Hans Christian Ackerman and Anna E. Jeffreys. Their work appears in journals such as Blood, The Journal of Immunology, Molecular and Cellular Biology, Orphanet Journal of Rare Diseases and American Journal of Respiratory and Critical Care Medicine.

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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