Mike Rees

531 total citations
9 papers, 325 citations indexed

About

Mike Rees is a scholar working on Infectious Diseases, Molecular Biology and Small Animals. According to data from OpenAlex, Mike Rees has authored 9 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Molecular Biology and 1 paper in Small Animals. Recurrent topics in Mike Rees's work include Parasitic Diseases Research and Treatment (2 papers), Nematode management and characterization studies (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). Mike Rees is often cited by papers focused on Parasitic Diseases Research and Treatment (2 papers), Nematode management and characterization studies (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). Mike Rees collaborates with scholars based in United Kingdom and Switzerland. Mike Rees's co-authors include John C.W. Comley, David C. Jenkins, Simon Townson, Sanjeev Kumar Gupta, Andrew Marsh, Argyrides Argyrou, Melanie Leveridge, C. Edge, Esther Pérez‐Herrán and Sarah M. Batt and has published in prestigious journals such as International Journal for Parasitology, Parasitology and Journal of the Royal Statistical Society Series A (Statistics in Society).

In The Last Decade

Mike Rees

9 papers receiving 304 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mike Rees United Kingdom	7	113	105	57	53	38	9	325
Joyce Villa Verde Bastos Borba Brazil	10	46 0.4×	104 1.0×	13 0.2×	8 0.2×	27 0.7×	25	418
Arthur C. Silva Brazil	8	21 0.2×	118 1.1×	31 0.5×	11 0.2×	11 0.3×	17	318
Nana Aba Williams Spain	12	28 0.2×	86 0.8×	49 0.9×	24 0.5×	6 0.2×	19	357
Moses Samje Cameroon	11	70 0.6×	80 0.8×	64 1.1×	26 0.5×	35 0.9×	32	393
Cécile Häberli Switzerland	11	25 0.2×	63 0.6×	145 2.5×	81 1.5×	15 0.4×	42	309
Jacqueline R. M. A. Maasch United States	7	31 0.3×	175 1.7×	71 1.2×	55 1.0×	9 0.2×	9	358
Rajani Kanta Mahapatra India	12	62 0.5×	218 2.1×	46 0.8×	21 0.4×	6 0.2×	39	390
Foluke Fakorede Switzerland	6	67 0.6×	54 0.5×	141 2.5×	75 1.4×	14 0.4×	7	383
Kamel Benakli France	10	67 0.6×	277 2.6×	105 1.8×	8 0.2×	11 0.3×	16	555
Kirsten J. Meyer United States	9	22 0.2×	143 1.4×	16 0.3×	19 0.4×	12 0.3×	15	271

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-authorship network of co-authors of Mike Rees

This figure shows the co-authorship network connecting the top 25 collaborators of Mike Rees. A scholar is included among the top collaborators of Mike Rees based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mike Rees. Mike Rees is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Leveridge, Melanie, C. Edge, Mike Rees, et al.. (2015). A High-Throughput Screen to Identify LRRK2 Kinase Inhibitors for the Treatment of Parkinson’s Disease Using RapidFire Mass Spectrometry. SLAS DISCOVERY. 21(2). 145–155. 28 indexed citations

2.

Batt, Sarah M., Christopher J. Stubbs, Esther Pérez‐Herrán, et al.. (2015). Whole Cell Target Engagement Identifies Novel Inhibitors of Mycobacterium tuberculosis Decaprenylphosphoryl-β-d-ribose Oxidase. ACS Infectious Diseases. 1(12). 615–626. 48 indexed citations

3.

Leveridge, Melanie, Argyrides Argyrou, Peter Francis, et al.. (2013). Demonstrating Enhanced Throughput of RapidFire Mass Spectrometry through Multiplexing Using the JmjD2d Demethylase as a Model System. SLAS DISCOVERY. 19(2). 278–286. 34 indexed citations

4.

Marsh, Andrew, et al.. (2008). Patient 2.0 empowerment. International Semantic Web Conference. 164–168. 36 indexed citations

5.

Rees, Mike, et al.. (1995). Elementary Probability.. Journal of the Royal Statistical Society Series A (Statistics in Society). 158(2). 356–356. 27 indexed citations

6.

Hayes, David L., Aisling O’Dowd, David L. Selwood, et al.. (1990). The effect of two novel analogues of antimycin A on oxygen consumption and survival of filarial nematodes in vitro. Molecular and Biochemical Parasitology. 38(2). 159–168. 3 indexed citations

7.

Comley, John C.W. & Mike Rees. (1989). Radiorespirometric detection of macrofilaricidal activityin vitro. Parasitology. 98(2). 259–264. 3 indexed citations

8.

Comley, John C.W., et al.. (1989). Colorimetric quantitation of filarial viability. International Journal for Parasitology. 19(1). 77–83. 103 indexed citations

9.

Comley, John C.W., et al.. (1989). The further application of MTT-formazan colorimetry to studies on filarial worm viability.. PubMed. 40(3). 311–6. 43 indexed citations

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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