Philip C. Familletti
- Immunology top 5%
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 3
- Toxin Mechanisms and Immunotoxins 3
- Immunology and Allergy top 5%
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- Monoclonal and Polyclonal Antibodies Research 7
- Oncology top 10%
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- Glycosylation and Glycoproteins Research 4
- Protein purification and stability 3
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- Virology and Viral Diseases 4
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- Virus-based gene therapy research 2
- Co-authors
- Sidney PestkaDavid H. PreskySara RubinsteinMaurice K. GatelyA S SternFrank PodlaskiSilke GillessenDaisy Carvajal
- Journals
- Methods in enzymology on CD-ROM/Methods in enzymology (6 papers)Archives of Biochemistry and Biophysics (3 papers)Nature Biotechnology (2 papers)
- Partner nations
- United StatesSwitzerlandPoland
In The Last Decade
Philip C. Familletti
23 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 91
- Immunology 799
- Immunology and Allergy 180
- Radiology, Nuclear Medicine and Imaging 269
- Oncology 281
- Molecular Biology 525
Countries citing papers authored by Philip C. Familletti
This map shows the geographic impact of Philip 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 Philip 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 Philip C. Familletti more than expected).
Fields of papers citing papers by Philip C. Familletti
This network shows the impact of papers produced by Philip 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 Philip C. Familletti. The network helps show where Philip C. Familletti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philip C. Familletti, 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 | 1996 | 118 | |
| 2 | 1995 | 391 | |
| 3 | 1994 | 333 | |
| 4 | 1992 | 10 | |
| 5 | 1990 | 3 | |
| 6 | 1988 | 17 | |
| 7 | 1988 | 47 | |
| 8 | 1987 | 30 | |
| 9 | 1987 | 31 | |
| 10 | 1987 | 4 | |
| 11 | 1986 | 2 | |
| 12 | 1981 | 178 | |
| 13 | 1981 | 9 | |
| 14 | 1981 | 2 | |
| 15 | 1981 | 10 | |
| 16 | 1981 | 6 | |
| 17 | 1981 | 2 | |
| 18 | 1981 | 7 | |
| 19 | 1979 | 10 | |
| 20 | 1978 | 78 |
About Philip C. Familletti
Philip C. Familletti is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy, Molecular Biology and Epidemiology, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Immune Cell Function and Interaction (5 papers), Glycosylation and Glycoproteins Research (4 papers), Virology and Viral Diseases (4 papers), Protein purification and stability (3 papers), T-cell and B-cell Immunology (3 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Immunology (799 citations), Immunology and Allergy (180 citations), Radiology, Nuclear Medicine and Imaging (269 citations), Oncology (281 citations) and Molecular Biology (525 citations). Philip C. Familletti has collaborated with scholars based in United States, Switzerland and Poland. Frequent co-authors include Sidney Pestka, David H. Presky, Sara Rubinstein, Maurice K. Gately, A S Stern, Frank Podlaski, Silke Gillessen, Daisy Carvajal, Ping Ling and Ueli Gubler. Their work appears in journals such as Methods in enzymology on CD-ROM/Methods in enzymology, Archives of Biochemistry and Biophysics, Nature Biotechnology, European Journal of Biochemistry and Journal of Investigative Dermatology.
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.