G M Smith

1.1k citations
25 papers · 766 indexed · h-index 14
Topics
Monoclonal and Polyclonal Antibodies Research (6 papers)Glycosylation and Glycoproteins Research (4 papers)Immunotherapy and Immune Responses (3 papers)

In The Last Decade

G M Smith

25 papers receiving 731 citations

Peers

G M Smith
Comparison fields: 5 of 101
  • Molecular Biology 361
  • Immunology 136
  • Genetics 90
  • Physiology 80
  • Radiology, Nuclear Medicine and Imaging 80
Replace Iwao Ueda with:
Iwao Ueda Japan
E. D. Wachsmuth Switzerland
Sushma Patel United States
Rumi Ishisaka Japan
Uno Johansson Sweden
Ernst-Dieter Jarasch Germany
R. G. Butcher Denmark
Alexis Salas-Burgos Chile
Tomoko Nomura Japan
Diane Gingras Canada
G M Smith relative to Iwao Ueda Japan Iwao Ueda's profile →
Citations per field
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Iwao Ueda · 1×
Citations per year

Countries citing papers authored by G M Smith

Since Specialization
Citations

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

Fields of papers citing papers by G M Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G M Smith

This figure shows the co-authorship network connecting the top 25 collaborators of G M Smith. A scholar is included among the top collaborators of G M Smith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G M Smith. G M Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 68
2 7
3
Phase I clinical trial of the chimeric monoclonal antibody (c30.6) in patients with metastatic colorectal cancer.
6
4
Preclinical antitumor activity of an antibody against the leukocyte antigen CD48.
11
5 7
6 43
7 1
8 95
9 44
10 69
11 139
12 26
13 20
14 10
15 33
16 52
17 23
18 2
19 4
20 5

About G M Smith

G M Smith is a scholar working on Biochemistry, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 25 papers that have together received 766 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (4 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Physiology (80 citations), Immunology (136 citations) and Biochemistry (42 citations). G M Smith has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Robyn L. Ward, Kieran F. Scott, Peter L. Rogers, J. Grant Collins, Ken Ho, Richard M. Buchta, Kevin D. Barrow, Tania E. Webb, Ian Dainty and Duncan J. Henderson. Their work appears in journals such as The Lancet, Journal of Biological Chemistry and The Journal of Immunology.

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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