Malcolm C. Smith

602 citations
13 papers · 520 · h-index 7

Impact in

Papers in

Malcolm C. Smith

12 papers receiving 489 citations

Peers

Malcolm C. Smith
Comparison fields: 5 of 42
  • Radiology, Nuclear Medicine and Imaging 167
  • Immunology 103
  • Epidemiology 139
  • Oncology 75
  • Virology 14
Replace Kodai Yamamoto with:
Kodai Yamamoto Japan
Ladislav Prikler Switzerland
Hyun Hwa Kim South Korea
Mariusz Stempniak United States
Taichi Kuramochi Japan
Anita DiFrancesco United States
Barbara Krebs Germany
L. Moretti Belgium
Donna McCarthy United States
Evelyn Zeira Israel
Malcolm C. Smith relative to Kodai Yamamoto Japan Kodai Yamamoto's profile →
Citations per field
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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

13 of 13 papers shown
#Work
1 2003202
2 2005147
3 200064
4 198942
5 199630
6
Hypersensitivity to rapamycin of BJAB B lymphoblastoid cells.
199614
7 19909
8 20083
9
The detection of cellular immunity to tumor cells by the macrophage migration technique.
19722
10 19892
11 19962
12 19962
13 20001

About Malcolm C. Smith

Malcolm C. Smith is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Control and Systems Engineering, Molecular Biology and Epidemiology, having authored 13 papers that have together received 520 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Stability and Control of Uncertain Systems (2 papers), Neuroendocrine Tumor Research Advances (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Immunotherapy and Immune Responses (2 papers), Signaling Pathways in Disease (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper) and Control Systems and Identification (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (167 citations), Immunology (103 citations), Epidemiology (139 citations), Oncology (75 citations) and Virology (14 citations). Malcolm C. Smith has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Tryphon T. Georgiou, Stanislas A. Pauwels, Roelf Valkema, François Jamar, HORST F. SCHRAN, Tianling Chen, Eric P. Krenning, Larry K. Kvols, Jay A. Berzofsky and Stéphan Walrand. Their work appears in journals such as Biochemical Society Transactions, Digestion, FEBS Letters, Journal of Clinical Oncology and Systems & Control Letters.

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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