Stephen P. Kidd

84 papers receiving 2.6k citations

Stephen P. Kidd's Hit Papers

The MerR family of transcriptional regulators 2003 · 602 citations
6020+7+15Years since publication200400600

Peers

Stephen P. Kidd
Comparison fields: 5 of 144
  • Microbiology 331
  • Molecular Medicine 157
  • Endocrinology 160
  • Health, Toxicology and Mutagenesis 285
  • Infectious Diseases 360
Replace Jong‐Hwan Park with:
Jong‐Hwan Park South Korea
Nicholas A. Jacques Australia
M Rosenberg Israel
Martina Cappelletti Italy
Rosário Oliveira Portugal
Raha Abdul Rahim Malaysia
Jeffrey M. Boyd United States
Xuesong He United States
P.J. Collier United Kingdom
Stefano Fedi Italy
Stephen P. Kidd relative to Jong‐Hwan Park South Korea Jong‐Hwan Park's profile →
Citations per field
00.5×1.5×2.4×
Jong‐Hwan Park · 1×
Citations per year

Countries citing papers authored by Stephen P. Kidd

Since Specialization
Citations

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

Fields of papers citing papers by Stephen P. Kidd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The MerR family of transcriptional regulators
Hit paper breakdown →
2003602
2 2006157
3 2018135
4 2006112
5 2004108
6 201974
7 201959
8 200658
9 201358
10 201752
11 201950
12 200547
13 200846
14 198946
15 200745
16 202344
17 201744
18 200340
19 201440
20 201139

About Stephen P. Kidd

Stephen P. Kidd is a scholar working on Molecular Biology, Infectious Diseases, Microbiology, Ecology and Epidemiology, having authored 87 papers that have together received 2.7k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (15 papers), Bacterial biofilms and quorum sensing (13 papers), Bacterial Infections and Vaccines (13 papers), Pneumonia and Respiratory Infections (8 papers), Anaerobic Digestion and Biogas Production (7 papers), Bacterial Genetics and Biotechnology (7 papers), Antibiotic Resistance in Bacteria (6 papers) and Orthopedic Infections and Treatments (6 papers). The work is most often cited by research in Microbiology (331 citations), Molecular Medicine (157 citations), Endocrinology (160 citations), Health, Toxicology and Mutagenesis (285 citations) and Infectious Diseases (360 citations). Stephen P. Kidd has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Nigel L. Brown, Jon L. Hobman, Jivko Stoyanov, Alastair G. McEwan, Michael P. Jennings, Alexandra Tikhomirova, John Pemberton, Radomir Schmidt, Michael A. Apicella and Paul R. Medwell. Their work appears in journals such as Antibiotics, Infection and Immunity, The Journal of Infectious Diseases, Frontiers in Cellular and Infection Microbiology and Pathogens and Disease.

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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