Paul J. Baker
- Molecular Biology top 10%
- Immunology top 5%
- Infectious Diseases top 10%
- Epidemiology
- Nephrology top 10%
- Co-authors
- Seth L. MastersSammy BedouiMercedes MonteleoneDave BoucherKate SchroderDamiën BierschenkMarco J. HeroldDamian B. D’Silva
- Topics
- Inflammasome and immune disorders (11 papers)interferon and immune responses (6 papers)COVID-19 Clinical Research Studies (4 papers)
- Partner nations
- AustraliaUnited StatesNew Zealand
In The Last Decade
Paul J. Baker
20 papers receiving 1000 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Molecular Biology 734
- Immunology 483
- Infectious Diseases 117
- Epidemiology 111
- Nephrology 84
Countries citing papers authored by Paul J. Baker
This map shows the geographic impact of Paul J. Baker'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 Paul J. Baker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul J. Baker more than expected).
Fields of papers citing papers by Paul J. Baker
This network shows the impact of papers produced by Paul J. Baker. 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 Paul J. Baker. The network helps show where Paul J. Baker may publish in the future.
Co-authorship network of co-authors of Paul J. Baker
This figure shows the co-authorship network connecting the top 25 collaborators of Paul J. Baker. A scholar is included among the top collaborators of Paul J. Baker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul J. Baker. Paul J. Baker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Mechanisms of NLRP3 activation and inhibition elucidated by functional analysis of disease-associated variantsbreakdown → | 24 |
| 2 | 4 | |
| 3 | 10 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 27 | |
| 8 | 69 | |
| 9 | 77 | |
| 10 | 69 | |
| 11 | 65 | |
| 12 | 36 | |
| 13 | 62 | |
| 14 | 16 | |
| 15 | 102 | |
| 16 | 93 | |
| 17 | Familial Autoinflammation with Neutrophilic Dermatosis Reveals a Novel Regulatory Mechanism of Pyrin Activation | 1 |
| 18 | 21 | |
| 19 | 305 | |
| 20 | Three Configurations of School-University Partnerships: An Exploratory Study. | 3 |
About Paul J. Baker
Paul J. Baker is a scholar working on Immunology, Business and International Management and Infectious Diseases, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (11 papers), interferon and immune responses (6 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Immunology (483 citations), Nephrology (84 citations) and Molecular Biology (734 citations). Paul J. Baker has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Seth L. Masters, Sammy Bedoui, Mercedes Monteleone, Dave Boucher, Kate Schroder, Damiën Bierschenk, Marco J. Herold, Damian B. D’Silva, Paul G. Whitney and Silvia Álvarez-Díaz. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine and Physiological Reviews.
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.