M. Goodson

725 citations
28 papers · 605 · h-index 16

Impact in

    • Escherichia coli research studies
    • Listeria monocytogenes in Food Safety
    • Microbial Inactivation Methods

Papers in

    • Bacterial Genetics and Biotechnology 24
    • Protein Structure and Dynamics 8
    • RNA and protein synthesis mechanisms 4
    • DNA Repair Mechanisms 4
    • Microbial Metabolic Engineering and Bioproduction 3

M. Goodson

28 papers receiving 572 citations

Peers

M. Goodson
Comparison fields: 5 of 59
  • Endocrinology 143
  • Biotechnology 164
  • Food Science 203
  • Genetics 219
  • Filtration and Separation 11
Replace Kim Arnold with:
Kim Arnold Switzerland
L L Wang China
Véronique Robbe‐Saule France
Aline Métris United Kingdom
L. E. Pearce New Zealand
B O'Driscoll Ireland
P. Boutibonnes France
Patrick Duwat France
Elaine P. Black United States
Christine M. Derrick United Kingdom
M. Goodson relative to Kim Arnold Switzerland Kim Arnold's profile →
Citations per field
00.5×2.6×
Kim Arnold · 1×
Citations per year

Countries citing papers authored by M. Goodson

Since Specialization
Citations

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

Fields of papers citing papers by M. Goodson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside M. Goodson, 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. Goodson Line = papers co-authored together M. Goodson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989139
2 198955
3 199139
4 199137
5 199229
6 199326
7 199026
8 199923
9 200123
10 199421
11 199820
12 199620
13 199119
14 199918
15 199918
16
Recent advances in biology: intercellular communication and quorum sensing in micro-organisms.
199815
17 199814
18 199311
19 198910
20 19939

About M. Goodson

M. Goodson is a scholar working on Genetics, Molecular Biology, Ecology, Food Science and Molecular Medicine, having authored 28 papers that have together received 605 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (24 papers), Protein Structure and Dynamics (8 papers), Bacteriophages and microbial interactions (7 papers), RNA and protein synthesis mechanisms (4 papers), DNA Repair Mechanisms (4 papers), thermodynamics and calorimetric analyses (3 papers), Salmonella and Campylobacter epidemiology (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Endocrinology (143 citations), Biotechnology (164 citations), Food Science (203 citations), Genetics (219 citations) and Filtration and Separation (11 citations). M. Goodson has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include R. J. Rowbury, T. J. Humphrey and D. G. Smith. Their work appears in journals such as Letters in Applied Microbiology, Journal of Applied Microbiology, Science Progress, Canadian Journal of Microbiology and 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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