J P Paccaud
- Immunology top 10%
- Molecular Biology
- Cell Biology top 10%
- Hematology top 5%
- Physiology
- Co-authors
- J.A. SchifferliJürg A. SchifferliJ L CarpentierG SteigerMarco BaggioliniAnouk E. MullerAngela HuttnerJulia Bielicki
- Topics
- Complement system in diseases (8 papers)Blood groups and transfusion (5 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
J P Paccaud
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 113
- Immunology 418
- Molecular Biology 385
- Cell Biology 186
- Hematology 177
- Physiology 142
Countries citing papers authored by J P Paccaud
This map shows the geographic impact of J P Paccaud'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 J P Paccaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J P Paccaud more than expected).
Fields of papers citing papers by J P Paccaud
This network shows the impact of papers produced by J P Paccaud. 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 J P Paccaud. The network helps show where J P Paccaud may publish in the future.
Co-authorship network of co-authors of J P Paccaud
This figure shows the co-authorship network connecting the top 25 collaborators of J P Paccaud. A scholar is included among the top collaborators of J P Paccaud 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 J P Paccaud. J P Paccaud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 162 | |
| 2 | 49 | |
| 3 | 167 | |
| 4 | 103 | |
| 5 | 74 | |
| 6 | 50 | |
| 7 | 41 | |
| 8 | 49 | |
| 9 | 60 | |
| 10 | 47 | |
| 11 | 33 | |
| 12 | 77 | |
| 13 | 8 | |
| 14 | Immune adherence of nascent hepatitis B surface antigen-antibody complexes in vivo in humans. | 10 |
| 15 | The role of hypocomplementaemia and low erythrocyte complement receptor type 1 numbers in determining abnormal immune complex clearance in humans. | 79 |
| 16 | 4 | |
| 17 | 76 | |
| 18 | Tetanus toxoid-anti-tetanus toxoid complexes: a potential model to study the complement transport system for immune complex in humans. | 22 |
| 19 | Complement mediated inhibition of immune precipitation and solubilization generate different concentrations of complement anaphylatoxins (C4a, C3a, C5a). | 21 |
| 20 | Difference in the biological properties of the two forms of the fourth component of human complement (C4). | 59 |
About J P Paccaud
J P Paccaud is a scholar working on Hematology, Immunology and Developmental Neuroscience, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Complement system in diseases (8 papers), Blood groups and transfusion (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (48 citations), Developmental Neuroscience (94 citations) and Immunology (418 citations). J P Paccaud has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include J.A. Schifferli, Jürg A. Schifferli, J L Carpentier, G Steiger, J L Carpentier, Marco Baggiolini, Anouk E. Muller, Angela Huttner, Julia Bielicki and Johan W. Mouton. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.