Robert N. McEwan

1.5k citations
20 papers · 811 · h-index 15

Impact in

Papers in

    • CRISPR and Genetic Engineering 3
    • RNA and protein synthesis mechanisms 2
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Genomics and Chromatin Dynamics 2
    • T-cell and Retrovirus Studies 2

Robert N. McEwan

20 papers receiving 743 citations

Peers

Robert N. McEwan
Comparison fields: 5 of 76
  • Transplantation 65
  • Immunology 170
  • Molecular Biology 429
  • Hematology 59
  • Genetics 152
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Robert N. McEwan

Since Specialization
Citations

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

Fields of papers citing papers by Robert N. McEwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1982174
2 2003109
3 198598
4 199087
5 197651
6 199350
7 198344
8 198038
9 198929
10 197727
11 197823
12
Prostate cancer and the invasive phenotype: application of new in vivo and in vitro approaches
198821
13 200618
14 198318
15 199314
16 19884
17 19882
18
Tumor growth and metastasis of B16-BL6 tumors following transfection of an allogeneic major histocompatibility complex (D(d) antigen
19852
19
Use of a reconstituted basement-membrane to study the invasiveness of tumor-cells
19871
20
Prostate Cancer and the Invasive Phenotype: New In Vivo and In Vitro Approaches
19881

About Robert N. McEwan

Robert N. McEwan is a scholar working on Molecular Biology, Immunology, Genetics, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 811 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (3 papers), CRISPR and Genetic Engineering (3 papers), Animal Genetics and Reproduction (2 papers), T-cell and Retrovirus Studies (2 papers), RNA and protein synthesis mechanisms (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Genomics and Chromatin Dynamics (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Transplantation (65 citations), Immunology (170 citations), Molecular Biology (429 citations), Hematology (59 citations) and Genetics (152 citations). Robert N. McEwan has collaborated with scholars based in United States, Italy and Hungary. Frequent co-authors include Gray F. Crouse, Robert Schimke, Christian C. Simonsen, Charlotte Cunningham‐Rundles, Stanley C. Jordan, James N. Ihle, Mark Pearson, Chung Lee, Eugene J. Leys and Rodney E. Kellems. Their work appears in journals such as Molecular and Cellular Biology, The Journal of Immunology, Journal of Cellular Biochemistry, The Journal of Experimental Medicine and European 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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