Matthew C. Pickering
Impact in
- Nephrology top 0.05%
- Renal Diseases and Glomerulopathies
- Immunology top 0.2%
- Complement system in diseases
Papers in
- Nephrology 76
- Renal Diseases and Glomerulopathies 74
- Immunology 127
- Complement system in diseases 110
- Co-authors
- H. Terence CookMarina BottoMark WalportNicholas Medjeral‐ThomasElena Goicoechea de JorgeVéronique Frémeaux‐BacchiTalat H. MalikSantiago Rodrı́guez de Córdoba
- Journals
- Molecular Immunology (14 papers)Kidney International (14 papers)Journal of the American Society of Nephrology (13 papers)Kidney International Reports (6 papers)Frontiers in Immunology (5 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Matthew C. Pickering
166 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Nephrology 3.7k
- Immunology 5.9k
- Hematology 1.9k
- Transplantation 407
- Physiology 440
Countries citing papers authored by Matthew C. Pickering
This map shows the geographic impact of Matthew C. Pickering'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 Matthew C. Pickering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew C. Pickering more than expected).
Fields of papers citing papers by Matthew C. Pickering
This network shows the impact of papers produced by Matthew C. Pickering. 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 Matthew C. Pickering. The network helps show where Matthew C. Pickering may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew C. Pickering, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 1 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 22 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 17 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 5 | |
| 14 | 2020 | 49 | |
| 15 | 2019 | 15 | |
| 16 | 2013 | 67 | |
| 17 | 2013 | 76 | |
| 18 | 2006 | 120 | |
| 19 | In–vivo Retinal Imaging and Anatomical Findings in Aged Animals Lacking the Gene for Complement Factor–H | 2006 | 1 |
| 20 | 2000 | 1 |
About Matthew C. Pickering
Matthew C. Pickering is a scholar working on Nephrology, Immunology, Hematology, Physiology and Genetics, having authored 171 papers that have together received 8.0k indexed citations. Recurring topics across this work include Complement system in diseases (110 papers), Renal Diseases and Glomerulopathies (74 papers), Platelet Disorders and Treatments (22 papers), Systemic Lupus Erythematosus Research (16 papers), Blood Coagulation and Thrombosis Mechanisms (14 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (12 papers), Blood groups and transfusion (12 papers) and Vasculitis and related conditions (10 papers). The work is most often cited by research in Nephrology (3.7k citations), Immunology (5.9k citations), Hematology (1.9k citations), Transplantation (407 citations) and Physiology (440 citations). Matthew C. Pickering has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include H. Terence Cook, Marina Botto, Mark Walport, Nicholas Medjeral‐Thomas, Elena Goicoechea de Jorge, Véronique Frémeaux‐Bacchi, Talat H. Malik, H. Terence Cook, Santiago Rodrı́guez de Córdoba and Joanna Warren. Their work appears in journals such as Molecular Immunology, Kidney International, Journal of the American Society of Nephrology, Kidney International Reports and Frontiers in Immunology.
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.