M. Goodfellow

24 papers receiving 1.8k citations

Hit Papers

Chemical methods in prokaryotic systematics 1994 · 806 citations
8061994202620042015250500750

Peers

M. Goodfellow
Comparison fields: 5 of 105
  • Microbiology 204
  • Ecology 551
  • Biotechnology 178
  • Molecular Biology 1.2k
  • Endocrinology 78
Replace R Skalova with:
R Skalova Croatia
V. B. D. Skerman Australia
F. A. RAINEY Germany
Moriyuki Hamada Japan
Takuji Kudo Japan
A. Reynaerts Belgium
Imen Nouioui United Kingdom
Lorena Carro Spain
Tomohiko Tamura Japan
J. Sarda Carbasse Germany
M. Goodfellow relative to R Skalova Croatia R Skalova's profile →
Citations per field
00.5×10×15×19.7×
R Skalova · 1×
Citations per year

Countries citing papers authored by M. Goodfellow

Since Specialization
Citations

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

Fields of papers citing papers by M. Goodfellow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Chemical methods in prokaryotic systematics
Hit paper breakdown →
1994806
2
Microbiological classification and identification.
1980201
3 1998155
4
Handbook of new bacterial systematics
1993132
5
Lipid composition in the classification and identification of acid-fast bacteria.
1980123
6 2005100
7
Towards A Practical Species Concept for Cultivable Bacteria
199765
8 201152
9 197650
10 199333
11 198832
12 199832
13
The biology of the Nocardiae.
197622
14 199413
15 198412
16 19879
17 20029
18 20067
19 19786
20 19944

About M. Goodfellow

M. Goodfellow is a scholar working on Molecular Biology, Microbiology, Epidemiology, Plant Science and Infectious Diseases, having authored 26 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Actinomycetales infections and treatment (6 papers), Mycobacterium research and diagnosis (5 papers), Plant Pathogens and Fungal Diseases (4 papers), Infectious Diseases and Mycology (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Plant Disease Resistance and Genetics (3 papers). The work is most often cited by research in Microbiology (204 citations), Ecology (551 citations), Biotechnology (178 citations), Molecular Biology (1.2k citations) and Endocrinology (78 citations). M. Goodfellow has collaborated with scholars based in United Kingdom, Poland and Germany. Frequent co-authors include Anthony G. O’Donnell, R. G. Board, E. J. Williams, Jongsik Chun, Gilson P. Manfio, Alan C. Ward, Tokuichiro Seki, K. Getha, David E. Minnikin and Vikineswary Sabaratnam. Their work appears in journals such as Journal of Industrial Microbiology & Biotechnology, Canadian Journal of Microbiology, Journal of Bacteriology, Microbiology and Journal of Medical Microbiology.

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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