Mike Rees

534 citations
9 papers · 324 · h-index 7

Impact in

  • Parasitology top 10%
    • Parasites and Host Interactions
    • Parasitic Diseases Research and Treatment
    • Tuberculosis Research and Epidemiology

Papers in

    • Parasitic Diseases Research and Treatment 2
    • Tuberculosis Research and Epidemiology 1
    • Epigenetics and DNA Methylation 1
    • Plant Gene Expression Analysis 1

Mike Rees

9 papers receiving 303 citations

Peers

Mike Rees
Comparison fields: 5 of 101
  • Parasitology 51
  • Infectious Diseases 111
  • Small Animals 33
  • Aging 5
  • Insect Science 34
Replace Charlotte Lanteri with:
Charlotte Lanteri United States
Deborah Kioy Switzerland
Kamel Benakli France
Christine Manyando Zambia
Cécile Häberli Switzerland
Joyce Villa Verde Bastos Borba Brazil
Diane Snowdon United Kingdom
Arthur C. Silva Brazil
Mary Ann Powles United States
Foluke Fakorede Switzerland
Mike Rees relative to Charlotte Lanteri United States Charlotte Lanteri's profile →
Citations per field
00.5×4.7×
Charlotte Lanteri · 1×
Citations per year

Countries citing papers authored by Mike Rees

Since Specialization
Citations

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

Fields of papers citing papers by Mike Rees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mike Rees. 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 Mike Rees. The network helps show where Mike Rees may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 1989102
2 201548
3
The further application of MTT-formazan colorimetry to studies on filarial worm viability.
198943
4
Patient 2.0 empowerment
200836
5 201334
6 201528
7 199527
8 19893
9 19903

About Mike Rees

Mike Rees is a scholar working on Infectious Diseases, Molecular Biology, Small Animals, Neurology and General Health Professions, having authored 9 papers that have together received 324 indexed citations. Recurring topics across this work include Parasitic Diseases Research and Treatment (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Epigenetics and DNA Methylation (1 paper), Alzheimer's disease research and treatments (1 paper), Tuberculosis Research and Epidemiology (1 paper), Plant Gene Expression Analysis (1 paper), Statistics Education and Methodologies (1 paper) and Mobile Health and mHealth Applications (1 paper). The work is most often cited by research in Parasitology (51 citations), Infectious Diseases (111 citations), Small Animals (33 citations), Aging (5 citations) and Insect Science (34 citations). Mike Rees has collaborated with scholars based in United Kingdom, Spain and Switzerland. Frequent co-authors include John C.W. Comley, David C. Jenkins, Simon Townson, Sanjeev Kumar Gupta, Andrew Marsh, Melanie Leveridge, Argyrides Argyrou, Sarah M. Batt, Luigi Stasi and Andy West. Their work appears in journals such as SLAS DISCOVERY, ACS Infectious Diseases, Parasitology, Molecular and Biochemical Parasitology and International Journal for Parasitology.

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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