M E Andrew

930 citations
22 papers · 844 · h-index 16

Impact in

  • Virology top 5%
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Influenza Virus Research Studies 10
    • Respiratory viral infections research 7
    • Immunotherapy and Immune Responses 5
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 3

M E Andrew

21 papers receiving 756 citations

Peers

M E Andrew
Comparison fields: 5 of 57
  • Virology 113
  • Immunology 454
  • Epidemiology 309
  • Infectious Diseases 165
  • Agronomy and Crop Science 94
Replace Yasuhiro Hosaka with:
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Alicia Gómez Yafal United States
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M E Andrew relative to Yasuhiro Hosaka Japan Yasuhiro Hosaka's profile →
Citations per field
00.5×
Yasuhiro Hosaka · 1×
Citations per year

Countries citing papers authored by M E Andrew

Since Specialization
Citations

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

Fields of papers citing papers by M E Andrew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M E Andrew. 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 M E Andrew. The network helps show where M E Andrew may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981117
2 1981116
3 199093
4 198675
5 198774
6 198756
7 199938
8 199037
9 197936
10 200033
11 198430
12 198529
13 198927
14 198622
15 198121
16 198019
17 19926
18 19856
19 20005
20 19883

About M E Andrew

M E Andrew is a scholar working on Epidemiology, Immunology, Genetics, Infectious Diseases and Animal Science and Zoology, having authored 22 papers that have together received 844 indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), Influenza Virus Research Studies (10 papers), Respiratory viral infections research (7 papers), Immunotherapy and Immune Responses (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Immune Cell Function and Interaction (5 papers), Animal Virus Infections Studies (4 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Virology (113 citations), Immunology (454 citations), Epidemiology (309 citations), Infectious Diseases (165 citations) and Agronomy and Crop Science (94 citations). M E Andrew has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Thomas J. Braciale, V L Braciale, Barbara E.H. Coupar, Gordon Ada, R. V. Blanden, D.B. Boyle, A.R. Bellamy, G W Both, Gunasegaran Karupiah and Arno Müllbacher. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Journal of Virology, Vaccine and Research in Veterinary Science.

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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