Mark A. Reddish

3.3k citations
35 papers · 2.8k · h-index 27

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 22
    • Immunotherapy and Immune Responses 17
    • Immune Cell Function and Interaction 4
    • Galectins and Cancer Biology 2

Mark A. Reddish

34 papers receiving 2.7k citations

Peers

Mark A. Reddish
Comparison fields: 5 of 94
  • Immunology 1.2k
  • Radiology, Nuclear Medicine and Imaging 659
  • Infectious Diseases 473
  • Public Health, Environmental and Occupational Health 612
  • Molecular Biology 1.3k
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Citations per field
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Citations per year

Countries citing papers authored by Mark A. Reddish

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Reddish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Reddish. 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 Mark A. Reddish. The network helps show where Mark A. Reddish may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998257
2 2005256
3 2002209
4 2009199
5 1993169
6 1996160
7 2004136
8 1996134
9 1998113
10 199996
11 199395
12 199888
13 199673
14 199372
15 199870
16 199969
17 199768
18 200465
19 199861
20 199660

About Mark A. Reddish

Mark A. Reddish is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Oncology and Public Health, Environmental and Occupational Health, having authored 35 papers that have together received 2.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (22 papers), Monoclonal and Polyclonal Antibodies Research (19 papers), Immunotherapy and Immune Responses (17 papers), Streptococcal Infections and Treatments (5 papers), Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Research and Treatments (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Immunology (1.2k citations), Radiology, Nuclear Medicine and Imaging (659 citations), Infectious Diseases (473 citations), Public Health, Environmental and Occupational Health (612 citations) and Molecular Biology (1.3k citations). Mark A. Reddish has collaborated with scholars based in Canada, United States and India. Frequent co-authors include B. Michael Longenecker, Grant D. MacLean, R. Rao Koganty, Babita Agrawal, Mark J. Krantz, James B. Dale, Steven D. Stroop, W. Kyle Simmons, Alex Martin and Patrick S.F. Bellgowan. Their work appears in journals such as Cancer Immunology Immunotherapy, Journal of Immunotherapy, International Journal of Cancer, Infection and Immunity 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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