Mike Rees

403 citations
8 papers · 367 · h-index 6

Impact in

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

Papers in

    • Parasitic Diseases Research and Treatment 4
    • Tuberculosis Research and Epidemiology 2
    • Mass Spectrometry Techniques and Applications 2

Mike Rees

8 papers receiving 358 citations

Peers

Mike Rees
Comparison fields: 5 of 40
  • Infectious Diseases 199
  • Parasitology 26
  • Small Animals 22
  • Spectroscopy 36
  • Computational Theory and Mathematics 27
Replace Jingwei Huang with:
Jingwei Huang China
Harold L. Howes United States
Kelly C. G. de Moura Brazil
Jeffrey K. Long United States
Karin M. J. Koolen Netherlands
Elva Serna Paraguay
Robert A. Watt United Kingdom
Colin J. Dunsmore United Kingdom
Elena Aguilera Uruguay
Sarita Tripathi India
Mike Rees relative to Jingwei Huang China Jingwei Huang's profile →
Citations per field
00.5×2×4×5.1×
Jingwei Huang · 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

8 of 8 papers shown
#Work
1 1989107
2 201680
3 201560
4
The further application of MTT-formazan colorimetry to studies on filarial worm viability.
198943
5 201338
6 201533
7 19893
8 19903

About Mike Rees

Mike Rees is a scholar working on Infectious Diseases, Spectroscopy, Neurology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 8 papers that have together received 367 indexed citations. Recurring topics across this work include Parasitic Diseases Research and Treatment (4 papers), Tuberculosis Research and Epidemiology (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Parkinson's Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Infectious Diseases (199 citations), Parasitology (26 citations), Small Animals (22 citations), Spectroscopy (36 citations) and Computational Theory and Mathematics (27 citations). Mike Rees has collaborated with scholars based in United Kingdom, Spain and Switzerland. Frequent co-authors include John C.W. Comley, Simon Townson, Argyrides Argyrou, Melanie V. Leveridge, Lluís Ballell, Neeraj Dhar, Christopher J. Stubbs, Julia Castro‐Pichel, Sarah M. Batt and John D. McKinney. Their work appears in journals such as SLAS DISCOVERY, Proceedings of the National Academy of Sciences, Parasitology, ACS Infectious Diseases 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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