M E Andrew

929 citations
20 papers · 803 · 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 9
    • Respiratory viral infections research 7
    • Virus-based gene therapy research 11

M E Andrew

20 papers receiving 733 citations

Peers

M E Andrew
Comparison fields: 5 of 58
  • Virology 109
  • Immunology 438
  • Agronomy and Crop Science 93
  • Infectious Diseases 159
  • Epidemiology 293
Replace Alicia Gómez Yafal with:
Alicia Gómez Yafal United States
Karen L. Burke United Kingdom
David C. Diamond United States
F H Yin United States
Lizhong Luo Canada
Mangala J. Hariharan United States
Kamesaburo Yoshino Japan
K Zingler United States
James T. Matthews United States
George Dapolito United States
M E Andrew relative to Alicia Gómez Yafal United States Alicia Gómez Yafal's profile →
Citations per field
00.5×1.5×2.2×
Alicia Gómez Yafal · 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
#Work
1 1981107
2 1981105
3 199091
4 198672
5 198772
6 198755
7 199037
8 197935
9 199934
10 200032
11 198529
12 198428
13 198927
14 198621
15 198120
16 198019
17 19926
18 20005
19 19855
20 19883

About M E Andrew

M E Andrew is a scholar working on Epidemiology, Genetics, Immunology, Infectious Diseases and Animal Science and Zoology, having authored 20 papers that have together received 803 indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), Influenza Virus Research Studies (9 papers), Respiratory viral infections research (7 papers), Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Animal Virus Infections Studies (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Virology (109 citations), Immunology (438 citations), Agronomy and Crop Science (93 citations), Infectious Diseases (159 citations) and Epidemiology (293 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, Arno Müllbacher and Ian A. Ramshaw. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Vaccine, Journal of Virology and Microbial Pathogenesis.

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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