Michael D. Macklin

1.8k citations
36 papers · 1.5k · h-index 21

Impact in

Papers in

    • Immunotherapy and Immune Responses 12
    • T-cell and B-cell Immunology 5
    • Invertebrate Immune Response Mechanisms 4
    • Antimicrobial Peptides and Activities 5

Michael D. Macklin

35 papers receiving 1.4k citations

Peers

Michael D. Macklin
Comparison fields: 5 of 86
  • Immunology 527
  • Rehabilitation 109
  • Agronomy and Crop Science 153
  • Parasitology 96
  • Epidemiology 406
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Citations per field
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Citations per year

Countries citing papers authored by Michael D. Macklin

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Macklin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Macklin. 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 Michael D. Macklin. The network helps show where Michael D. Macklin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994183
2 2005141
3 1998138
4 1998109
5 199985
6 199382
7 200276
8 199774
9 200764
10 200352
11 201747
12
Effective particle-mediated vaccination against mouse melanoma by coadministration of plasmid DNA encoding Gp100 and granulocyte-macrophage colony-stimulating factor.
200144
13 198044
14 199243
15 199741
16 198438
17 200338
18 200629
19 199826
20 200325

About Michael D. Macklin

Michael D. Macklin is a scholar working on Immunology, Microbiology, Biotechnology, Epidemiology and Molecular Biology, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), RNA and protein synthesis mechanisms (6 papers), Influenza Virus Research Studies (5 papers), Antimicrobial Peptides and Activities (5 papers), T-cell and B-cell Immunology (5 papers), Invertebrate Immune Response Mechanisms (4 papers), Transgenic Plants and Applications (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Immunology (527 citations), Rehabilitation (109 citations), Agronomy and Crop Science (153 citations), Parasitology (96 citations) and Epidemiology (406 citations). Michael D. Macklin has collaborated with scholars based in United States, Kenya and Australia. Frequent co-authors include William F. Swain, Martha W. McGregor, Robert J. Drape, Christoph Andree, Elof Eriksson, Virginia S. Hinshaw, Joel R. Haynes, David Paul Lunn, Dimitrios Hatzis and Jiri Sláma. Their work appears in journals such as Vaccine, Biochemistry, Journal of Virology, Molecular and Cellular Biology and Proceedings of the National Academy of Sciences.

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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