P C Familletti
- Immunology top 0.5%
- Molecular Biology top 5%
- Oncology top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Epidemiology top 5%
- Co-authors
- Sidney PestkaA G WolitzkyP M QuinnSara RubinsteinUeli GublerY C PanA O ChuaFrank Podlaski
- Topics
- Immune Cell Function and Interaction (5 papers)Cell Adhesion Molecules Research (5 papers)Protease and Inhibitor Mechanisms (4 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
P C Familletti
19 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Immunology 2.5k
- Molecular Biology 1.5k
- Oncology 981
- Radiology, Nuclear Medicine and Imaging 592
- Epidemiology 474
Countries citing papers authored by P C Familletti
This map shows the geographic impact of P C Familletti'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 P C Familletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P C Familletti more than expected).
Fields of papers citing papers by P C Familletti
This network shows the impact of papers produced by P C Familletti. 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 P C Familletti. The network helps show where P C Familletti may publish in the future.
Co-authorship network of co-authors of P C Familletti
This figure shows the co-authorship network connecting the top 25 collaborators of P C Familletti. A scholar is included among the top collaborators of P C Familletti 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 P C Familletti. P C Familletti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 42 | |
| 3 | 417 | |
| 4 | 162 | |
| 5 | Coexpression of two distinct genes is required to generate secreted bioactive cytotoxic lymphocyte maturation factor.breakdown → | 508 |
| 6 | 410 | |
| 7 | 82 | |
| 8 | Vascular permeability factor: a tumor-derived polypeptide that induces endothelial cell and monocyte procoagulant activity, and promotes monocyte migration.breakdown → | 689 |
| 9 | Purification to homogeneity and partial characterization of cytotoxic lymphocyte maturation factor from human B-lymphoblastoid cells.breakdown → | 579 |
| 10 | 61 | |
| 11 | 44 | |
| 12 | 74 | |
| 13 | 191 | |
| 14 | 67 | |
| 15 | 23 | |
| 16 | Convenient assay for interferonsbreakdown → | 428 |
| 17 | Human leukocyte interferon produced by E. coli is biologically activebreakdown → | 413 |
| 18 | 98 | |
| 19 | 173 |
About P C Familletti
P C Familletti is a scholar working on Immunology and Allergy, Immunology and Cancer Research, having authored 19 papers that have together received 4.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Cell Adhesion Molecules Research (5 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Immunology (2.5k citations), Immunology and Allergy (266 citations) and Oncology (981 citations). P C Familletti has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Sidney Pestka, A G Wolitzky, P M Quinn, Sara Rubinstein, Ueli Gubler, Y C Pan, A O Chua, Frank Podlaski, Warren McComas and David S. Schoenhaut. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.