Liam Good

5.8k citations
98 papers · 4.5k · h-index 38

Impact in

Papers in

    • RNA and protein synthesis mechanisms 36
    • DNA and Nucleic Acid Chemistry 19
    • RNA Interference and Gene Delivery 16
    • Advanced biosensing and bioanalysis techniques 14
    • Bacteriophages and microbial interactions 32

Liam Good

98 papers receiving 4.4k citations

Peers

Liam Good
Comparison fields: 5 of 131
  • Molecular Medicine 532
  • Microbiology 542
  • Molecular Biology 3.1k
  • Ecology 1.0k
  • Endocrinology 170
Replace Hitoshi Komatsuzawa with:
Hitoshi Komatsuzawa Japan
Gee W. Lau United States
Sophie de Bentzmann France
Yufeng Yao China
Weihui Wu China
Alessandra Bragonzi Italy
Jian Gao China
Monique L. van Hoek United States
Ian Alan Holder United States
Junyan Liu China
Liam Good relative to Hitoshi Komatsuzawa Japan Hitoshi Komatsuzawa's profile →
Citations per field
00.5×4.7×
Hitoshi Komatsuzawa · 1×
Citations per year

Countries citing papers authored by Liam Good

Since Specialization
Citations

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

Fields of papers citing papers by Liam Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000479
2 2001321
3 1998203
4 2016181
5 2010156
6 2016150
7 2019137
8 2004134
9 1998129
10 2002122
11 2003118
12 2007112
13 200397
14 200696
15 200695
16 199787
17 200084
18 201467
19 200966
20 201362

About Liam Good

Liam Good is a scholar working on Molecular Biology, Ecology, Genetics, Molecular Medicine and Infectious Diseases, having authored 98 papers that have together received 4.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (36 papers), Bacteriophages and microbial interactions (32 papers), Bacterial Genetics and Biotechnology (22 papers), DNA and Nucleic Acid Chemistry (19 papers), RNA Interference and Gene Delivery (16 papers), Advanced biosensing and bioanalysis techniques (14 papers), Antibiotic Resistance in Bacteria (12 papers) and Antimicrobial Peptides and Activities (10 papers). The work is most often cited by research in Molecular Medicine (532 citations), Microbiology (542 citations), Molecular Biology (3.1k citations), Ecology (1.0k citations) and Endocrinology (170 citations). Liam Good has collaborated with scholars based in United Kingdom, Sweden and Canada. Frequent co-authors include Peter E. Nielsen, James E. M. Stach, Rikard Dryselius, Satish Kumar Awasthi, Nor Fadhilah Kamaruzzaman, Natalia Nekhotiaeva, Shan Goh, Ola Larsson, Ross N. Nazar and Claes Wahlestedt. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, Journal of Molecular Biology, Journal of Biological Chemistry and Frontiers in 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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