Max Pearson
Impact in
-
- Streptococcal Infections and Treatments
- Neonatal and Maternal Infections
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- Antimicrobial Resistance in Staphylococcus
- Otolaryngology and Infectious Diseases
Papers in
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- Streptococcal Infections and Treatments 9
- Neonatal and Maternal Infections 4
- Surgery 3
- Genital Health and Disease 2
- Co-authors
- Shiranee Sriskandan (10 shared papers)Nicola N. Lynskey (4 shared papers)Claire E. Turner (4 shared papers)Julian Parkhill (3 shared papers)Elita Jauneikaite (3 shared papers)Mia Mosavie (3 shared papers)Masanori Asai (2 shared papers)Ludmila Lobkowicz (2 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)Nature Communications (1 paper)Computational and Structural Biotechnology Journal (1 paper)Age and Ageing (1 paper)The Lancet Infectious Diseases (1 paper)
- Partner nations
- United KingdomUnited StatesPoland
In The Last Decade
Max Pearson
12 papers receiving 276 citations
Peers
Comparison fields: 5 of 52
- Public Health, Environmental and Occupational Health 170
- Infectious Diseases 83
- Epidemiology 79
- Clinical Biochemistry 16
- Microbiology 12
Countries citing papers authored by Max Pearson
This map shows the geographic impact of Max Pearson'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 Max Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Pearson more than expected).
Fields of papers citing papers by Max Pearson
This network shows the impact of papers produced by Max Pearson. 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 Max Pearson. The network helps show where Max Pearson may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Pearson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 124 | |
| 2 | 2016 | 35 | |
| 3 | 2020 | 33 | |
| 4 | Asymptomatic uterine retroversion at 36 weeks' gestation. | 1988 | 26 |
| 5 | 2020 | 19 | |
| 6 | 2021 | 12 | |
| 7 | 2022 | 9 | |
| 8 | 2017 | 9 | |
| 9 | 1984 | 8 | |
| 10 | 2023 | 5 | |
| 11 | 2019 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2019 | 0 |
About Max Pearson
Max Pearson is a scholar working on Public Health, Environmental and Occupational Health, Surgery, Infectious Diseases, Molecular Biology and Endocrinology, having authored 13 papers that have together received 283 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (9 papers), Neonatal and Maternal Infections (4 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Genital Health and Disease (2 papers), Dermatological and COVID-19 studies (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), Bacterial Infections and Vaccines (1 paper) and Inflammasome and immune disorders (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (170 citations), Infectious Diseases (83 citations), Epidemiology (79 citations), Clinical Biochemistry (16 citations) and Microbiology (12 citations). Max Pearson has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Shiranee Sriskandan, Nicola N. Lynskey, Claire E. Turner, Julian Parkhill, Elita Jauneikaite, Mia Mosavie, Masanori Asai, Ludmila Lobkowicz, Xiangyun Zhi and J. Yimmy Chow. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Nature Communications, Computational and Structural Biotechnology Journal, Age and Ageing and The Lancet Infectious Diseases.
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.