Malcolm C. Smith

601 citations
12 papers · 503 · h-index 7

Impact in

  • Oncology top 10%
    • Lung Cancer Research Studies
    • Cancer Immunotherapy and Biomarkers
    • Radiopharmaceutical Chemistry and Applications
    • Monoclonal and Polyclonal Antibodies Research
    • Medical Imaging Techniques and Applications

Papers in

    • Immunotherapy and Immune Responses 2
    • Toxin Mechanisms and Immunotoxins 2
    • T-cell and B-cell Immunology 2
    • Glycosylation and Glycoproteins Research 1

Malcolm C. Smith

12 papers receiving 476 citations

Peers

Malcolm C. Smith
Comparison fields: 5 of 67
  • Oncology 215
  • Radiology, Nuclear Medicine and Imaging 131
  • Neurology 81
  • Epidemiology 168
  • Immunology 108
Replace Michiaki Watanabe with:
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Malcolm C. Smith relative to Michiaki Watanabe Japan Michiaki Watanabe's profile →
Citations per field
00.5×
Michiaki Watanabe · 1×
Citations per year

Countries citing papers authored by Malcolm C. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm C. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2003194
2 2005137
3 200064
4 198943
5 199631
6
Hypersensitivity to rapamycin of BJAB B lymphoblastoid cells.
199614
7 19909
8 20083
9 19962
10 19962
11 19892
12
The detection of cellular immunity to tumor cells by the macrophage migration technique.
19722

About Malcolm C. Smith

Malcolm C. Smith is a scholar working on Immunology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 12 papers that have together received 503 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Neuroendocrine Tumor Research Advances (2 papers), T-cell and B-cell Immunology (2 papers), Neuroblastoma Research and Treatments (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Advanced Control Systems Optimization (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Oncology (215 citations), Radiology, Nuclear Medicine and Imaging (131 citations), Neurology (81 citations), Epidemiology (168 citations) and Immunology (108 citations). Malcolm C. Smith has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Tryphon T. Georgiou, Larry K. Kvols, Stanislas Pauwels, Roelf Valkema, Eric P. Krenning, Tianling Chen, François Jamar, Horst Schran, Jay A. Berzofsky and Isabelle Mathieu. Their work appears in journals such as Biochemical Society Transactions, Systems & Control Letters, Journal of Immunological Methods, Digestion and Journal of Clinical Oncology.

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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