Tom J. Mason

2.1k total citations · 1 hit paper
11 papers, 1.7k citations indexed

About

Tom J. Mason is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Tom J. Mason has authored 11 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Spectroscopy. Recurrent topics in Tom J. Mason's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Mass Spectrometry Techniques and Applications (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Tom J. Mason is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Mass Spectrometry Techniques and Applications (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Tom J. Mason collaborates with scholars based in Australia, United States and United Kingdom. Tom J. Mason's co-authors include H. Mario Geysen, Stuart J. Rodda, Gordon Tribbick, Peter Schoofs, Richard A. Lerner, John A. Tainer, Hannah Alexander, Elizabeth D. Getzoff, Colin W. Ward and D. R. Hewish and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Tom J. Mason

11 papers receiving 1.6k citations

Hit Papers

Strategies for epitope analysis using peptide synthesis 1987 2026 2000 2013 1987 200 400 600

Peers

Tom J. Mason
Gordon Tribbick Australia
Peter Schoofs Australia
Stuart J. Rodda Australia
Wouter C. Puijk Netherlands
Béla Takács Switzerland
T C Elleman Australia
Jacqueline Sharon United States
Tom J. Mason
Citations per year, relative to Tom J. Mason Tom J. Mason (= 1×) peers S J Barteling

Countries citing papers authored by Tom J. Mason

Since Specialization
Citations

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

Fields of papers citing papers by Tom J. Mason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom J. Mason. 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 Tom J. Mason. The network helps show where Tom J. Mason may publish in the future.

Co-authorship network of co-authors of Tom J. Mason

This figure shows the co-authorship network connecting the top 25 collaborators of Tom J. Mason. A scholar is included among the top collaborators of Tom J. Mason 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 Tom J. Mason. Tom J. Mason is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Geysen, H. Mario, Stuart J. Rodda, & Tom J. Mason. (2007). The Delineation of Peptides Able to Mimic Assembled Epitopes. Novartis Foundation symposium. 119. 130–149. 9 indexed citations
2.
Mason, Tom J., et al.. (1996). High‐throughput purity estimation and characterisation of synthetic peptides by electrospray mass spectrometry. International journal of peptide & protein research. 47(1-2). 47–55. 36 indexed citations
3.
Tribbick, Gordon, et al.. (1991). Systematic fractionation of serum antibodies using multiple antigen homologous peptides as affinity ligands. Journal of Immunological Methods. 139(2). 155–166. 16 indexed citations
4.
Shukla, D. D., Gordon Tribbick, Tom J. Mason, et al.. (1989). Localization of virus-specific and group-specific epitopes of plant potyviruses by systematic immunochemical analysis of overlapping peptide fragments.. Proceedings of the National Academy of Sciences. 86(21). 8192–8196. 68 indexed citations
5.
Geysen, H. Mario, Tom J. Mason, & Stuart J. Rodda. (1988). Cognitive features of continuous antigenic determinants. Journal of Molecular Recognition. 1(1). 32–41. 130 indexed citations
6.
Geysen, H. Mario, Stuart J. Rodda, Tom J. Mason, Gordon Tribbick, & Peter Schoofs. (1987). Strategies for epitope analysis using peptide synthesis. Journal of Immunological Methods. 102(2). 259–274. 744 indexed citations breakdown →
7.
Geysen, H. Mario, Stuart J. Rodda, Tom J. Mason, et al.. (1987). Response : Antigenicity of Myohemerythrin. Science. 238(4833). 1584–1586. 2 indexed citations
8.
Geysen, H. Mario, John A. Tainer, Stuart J. Rodda, et al.. (1987). Chemistry of Antibody Binding to a Protein. Science. 235(4793). 1184–1190. 210 indexed citations
9.
Rodda, Stuart J., H. Mario Geysen, Tom J. Mason, & Peter Schoofs. (1986). The antibody response to myoglobin—I. Systematic synthesis of myoglobin peptides reveals location and substructure of species-dependent continuous antigenic determinants. Molecular Immunology. 23(6). 603–610. 38 indexed citations
10.
Zajac, Jeffrey D., et al.. (1986). Identification of Calcitonin and Calcitonin Gene-Related Peptide Messenger Ribonucleic Acid in Medullary Thyroid Carcinomas by Hybridization Histochemistry*. The Journal of Clinical Endocrinology & Metabolism. 62(5). 1037–1043. 42 indexed citations
11.
Geysen, H. Mario, Stuart J. Rodda, & Tom J. Mason. (1986). A priori delineation of a peptide which mimics a discontinuous antigenic determinant. Molecular Immunology. 23(7). 709–715. 375 indexed citations

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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