Paolo Casali
- Immunology top 0.1%
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Molecular Biology top 2%
- Rheumatology top 0.5%
- Genetics top 0.5%
- Co-authors
- Abner Louis NotkinsHong ZanZhenming XuAndrea CeruttiSamuele E. BurasteroBernard ChangEdward W. SchettinoEgest J. Pone
- Topics
- T-cell and B-cell Immunology (100 papers)Immune Cell Function and Interaction (71 papers)Monoclonal and Polyclonal Antibodies Research (65 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Paolo Casali
183 papers receiving 10.8k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Immunology 6.7k
- Radiology, Nuclear Medicine and Imaging 2.9k
- Molecular Biology 2.6k
- Rheumatology 1.7k
- Genetics 1.2k
Countries citing papers authored by Paolo Casali
This map shows the geographic impact of Paolo Casali'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 Paolo Casali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Casali more than expected).
Fields of papers citing papers by Paolo Casali
This network shows the impact of papers produced by Paolo Casali. 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 Paolo Casali. The network helps show where Paolo Casali may publish in the future.
Co-authorship network of co-authors of Paolo Casali
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Casali. A scholar is included among the top collaborators of Paolo Casali 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 Paolo Casali. Paolo Casali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 10 | |
| 3 | 9 | |
| 4 | B cell-intrinsic epigenetic modulation of antibody responses by dietary fiber-derived short-chain fatty acidsbreakdown → | 256 |
| 5 | 23 | |
| 6 | 70 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 28 | |
| 10 | 199 | |
| 11 | 30 | |
| 12 | 57 | |
| 13 | Structure-function analysis of a human anti-DNA autoantibody: Role of H chain CDR3 Arg residues in DNA binding | 1 |
| 14 | CD30 signaling negatively regulates CD40-induced immunoglobulin class switching in human B cells. A mechanism for preferential differentiation of antigen selected germinal center B cells | 2 |
| 15 | Immunoglobulin gene expression in development and disease | 5 |
| 16 | ANTIPHOSPHOLIPID ANTIBODIES AND FETAL LOSS: CLINICAL ASSOCIATION AND POSSIBLE PATHOGENETIC ROLE IN EXPERIMENTAL MODELS | 1 |
| 17 | 135 | |
| 18 | 3 | |
| 19 | 97 | |
| 20 | 103 |
About Paolo Casali
Paolo Casali is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 184 papers that have together received 11.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (100 papers), Immune Cell Function and Interaction (71 papers) and Monoclonal and Polyclonal Antibodies Research (65 papers). The work is most often cited by research in Immunology (6.7k citations), Radiology, Nuclear Medicine and Imaging (2.9k citations) and Genetics (1.2k citations). Paolo Casali has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Abner Louis Notkins, Hong Zan, Zhenming Xu, Andrea Cerutti, Samuele E. Burastero, Bernard Chang, Edward W. Schettino, Egest J. Pone, András Schaffer and Hideyuki Ikematsu. Their work appears in journals such as Science, The Lancet and Journal of Biological Chemistry.
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.