Michael P. Whitehead

769 total citations
22 papers, 614 citations indexed

About

Michael P. Whitehead is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Michael P. Whitehead has authored 22 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Plant Science and 5 papers in Pharmacology. Recurrent topics in Michael P. Whitehead's work include Fungal and yeast genetics research (9 papers), Fungal Biology and Applications (4 papers) and Forensic Entomology and Diptera Studies (3 papers). Michael P. Whitehead is often cited by papers focused on Fungal and yeast genetics research (9 papers), Fungal Biology and Applications (4 papers) and Forensic Entomology and Diptera Studies (3 papers). Michael P. Whitehead collaborates with scholars based in United Kingdom, United States and Belgium. Michael P. Whitehead's co-authors include Thomas E. Cleveland, Ralph A. Dean, M. Shieh, Paul Hooley, Robert L. Brown, Peter J. Cotty, J. W. Cary, B. Flannigan, Ian N. Roberts and Mark McHale and has published in prestigious journals such as Journal of the American Chemical Society, Applied and Environmental Microbiology and Trends in Biochemical Sciences.

In The Last Decade

Michael P. Whitehead

21 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael P. Whitehead United Kingdom 14 423 245 151 77 69 22 614
Weijie He China 12 577 1.4× 201 0.8× 195 1.3× 39 0.5× 77 1.1× 29 738
Holger Hartmann Germany 10 238 0.6× 642 2.6× 76 0.5× 56 0.7× 131 1.9× 11 851
G Muthukumar United States 15 162 0.4× 301 1.2× 45 0.3× 58 0.8× 36 0.5× 23 457
Jesús Delgado‐Jarana Spain 12 646 1.5× 337 1.4× 342 2.3× 64 0.8× 37 0.5× 12 818
Roni Cohen Israel 19 1.1k 2.6× 169 0.7× 318 2.1× 74 1.0× 22 0.3× 37 1.2k
Dan He China 14 432 1.0× 187 0.8× 219 1.5× 16 0.2× 47 0.7× 34 615
J. A. White United States 10 238 0.6× 91 0.4× 58 0.4× 45 0.6× 56 0.8× 28 373
Fabienne Malagnac France 16 1.1k 2.6× 973 4.0× 226 1.5× 42 0.5× 60 0.9× 32 1.6k
Linlu Qi China 14 416 1.0× 347 1.4× 163 1.1× 20 0.3× 48 0.7× 26 618
Min‐Seon Choi South Korea 12 574 1.4× 230 0.9× 48 0.3× 41 0.5× 58 0.8× 16 701

Countries citing papers authored by Michael P. Whitehead

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Whitehead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Whitehead. 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 Michael P. Whitehead. The network helps show where Michael P. Whitehead may publish in the future.

Co-authorship network of co-authors of Michael P. Whitehead

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Whitehead. A scholar is included among the top collaborators of Michael P. Whitehead 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 Michael P. Whitehead. Michael P. Whitehead is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Corre, Christophe, Gideon Aina Idowu, Lijiang Song, et al.. (2025). Discovery of Late Intermediates in Methylenomycin Biosynthesis Active against Drug-Resistant Gram-Positive Bacterial Pathogens. Journal of the American Chemical Society. 147(44). 40554–40561.
2.
Whitehead, Michael P., et al.. (2015). Investigating the Postmortem Molecular Biology of Cartilage and its Potential Forensic Applications. Journal of Forensic Sciences. 60(4). 1061–1067. 9 indexed citations
3.
Rogers, Christopher J., et al.. (2014). Identification of Crystals Forming on Porcine Articular Cartilage: A New Method for the Estimation of the Postmortem Interval. Journal of Forensic Sciences. 59(6). 1575–1582. 3 indexed citations
4.
Whitehead, Michael P., Paul Hooley, & Michael R. Brown. (2013). Horizontal transfer of bacterial polyphosphate kinases to eukaryotes: implications for the ice age and land colonisation. BMC Research Notes. 6(1). 221–221. 18 indexed citations
5.
Rogers, Christopher J., et al.. (2011). Postmortem degradation of porcine articular cartilage. Journal of Forensic and Legal Medicine. 18(2). 52–56. 13 indexed citations
6.
Hooley, Paul, et al.. (2008). Eukaryote polyphosphate kinases: is the ‘Kornberg’ complex ubiquitous?. Trends in Biochemical Sciences. 33(12). 577–582. 34 indexed citations
7.
8.
Hooley, Paul, A.T. Burns, & Michael P. Whitehead. (2004). Fungal gene sequences make excellent models for teaching data mining. Mycologist. 18(3). 118–124. 2 indexed citations
9.
Hooley, Paul, A.T. Burns, & Michael P. Whitehead. (2004). Fungal gene sequences make excellent models for teaching data mining. Mycologist. 18(3). 118–124. 1 indexed citations
10.
Hooley, Paul, Daron A. Fincham, Michael P. Whitehead, & Nicholas Clipson. (2003). Fungal Osmotolerance. Advances in applied microbiology. 53. 177–211. 6 indexed citations
11.
O’Neil, John D., Marcin Bugno, Michele S. Stanley, et al.. (2002). Cloning of a novel gene encoding a C2H2 zinc finger protein that alleviates sensitivity to abiotic stresses in Aspergillus nidulans. Mycological Research. 106(4). 491–498. 23 indexed citations
12.
Gibson, Hazel, et al.. (2002). Survival of Escherichia coli O157:H7 in traditional African yoghurt fermentation. International Journal of Food Microbiology. 79(1-2). 105–112. 41 indexed citations
13.
Whitehead, Michael P., et al.. (1999). Investigation of a PCR-based method for the routine identification of British Armillaria species. Mycological Research. 103(12). 1631–1636. 38 indexed citations
14.
Shieh, M., Robert L. Brown, Michael P. Whitehead, et al.. (1997). Molecular genetic evidence for the involvement of a specific polygalacturonase, P2c, in the invasion and spread of Aspergillus flavus in cotton bolls. Applied and Environmental Microbiology. 63(9). 3548–3552. 171 indexed citations
15.
16.
McHale, Mark, et al.. (1992). CfT-I: an LTR-retrotransposon in Cladosporium fulvum, a fungal pathogen of tomato. Molecular and General Genetics MGG. 233(3). 337–347. 87 indexed citations
17.
Whitehead, Michael P., Sarah J. Gurr, Shiela E. Unkles, et al.. (1990). Homologous transformation of Cephalosporium acremonium with the nitrate reductase-encoding gene (niaD). Gene. 90(2). 193–198. 14 indexed citations
18.
Whitehead, Michael P. & B. Flannigan. (1989). THEFUSARIUMMYCOTOXIN DEOXYNIVALENOL AND YEAST GROWTH AND FERMENTATION. Journal of the Institute of Brewing. 95(6). 411–413. 23 indexed citations
19.
Whitehead, Michael P., Shiela E. Unkles, Martin Ramsden, et al.. (1989). Transformation of a nitrate reductase deficient mutant of Penicillium chrysogenum with the corresponding Aspergillus niger and A. nidulans niaD genes. Molecular and General Genetics MGG. 216(2-3). 408–411. 19 indexed citations
20.
Whitehead, Michael P., et al.. (1989). EFFECTS OF THE MYCOTOXINS DIACETOXYSCIRPENOL AND DEOXYNIVALENOL ON MALTING CHARACTERISTICS OF BARLEY. Journal of the Institute of Brewing. 95(6). 415–417. 20 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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