Martin N. McCall

947 citations
15 papers · 713 indexed · h-index 10
Topics
Monoclonal and Polyclonal Antibodies Research (5 papers)T-cell and B-cell Immunology (4 papers)Glycosylation and Glycoproteins Research (2 papers)

In The Last Decade

Martin N. McCall

15 papers receiving 702 citations

Peers

Martin N. McCall
Comparison fields: 5 of 90
  • Molecular Biology 437
  • Immunology 139
  • Cancer Research 110
  • Oncology 105
  • Radiology, Nuclear Medicine and Imaging 61
Replace Roberto Campos‐González with:
Roberto Campos‐González United States
Salvatore F. Pietromonaco United States
Gillian M. Lehrbach Australia
Tarita O. Thomas United States
Feng Ye China
Zamal Ahmed United States
Sandrine Roy Australia
Stefan Roepcke Germany
Chae Young Hwang South Korea
Sébastien Tauzin France
Martin N. McCall relative to Roberto Campos‐González United States Roberto Campos‐González's profile →
Citations per field
00.5×2.5×
Roberto Campos‐González · 1×
Citations per year

Countries citing papers authored by Martin N. McCall

Since Specialization
Citations

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

Fields of papers citing papers by Martin N. McCall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin N. McCall. 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 Martin N. McCall. The network helps show where Martin N. McCall may publish in the future.

Co-authorship network of co-authors of Martin N. McCall

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 12
2 428
3 57
4 39
5 12
6 23
7 3
8 1
9 14
10 3
11
Expression of soluble isoforms of rat CD45. Analysis by electron microscopy and use in epitope mapping of anti-CD45R monoclonal antibodies.
76
12 4
13 16
14 22
15 3

About Martin N. McCall

Martin N. McCall is a scholar working on Immunology, Physiology and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 713 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), T-cell and B-cell Immunology (4 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cancer Research (110 citations), Immunology (139 citations) and Molecular Biology (437 citations). Martin N. McCall has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Rafael A. Irizarry, Benjamin M. Bolstad, A. Neil Barclay, David M. Shotton, Simon B. Easterbrook‐Smith, Philip D. Hodgkin, Peter P. Gray, Sarah J. Roberts‐Thomson, Gregory R. Monteith and George L. Mendz. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal and Journal of Allergy and Clinical 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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