Carl Feit
- Hematology top 10%
- Immunology top 10%
- T-cell and B-cell Immunology 3
-
- Virus-based gene therapy research 2
-
- Monoclonal and Polyclonal Antibodies Research 8
-
- Viral Infectious Diseases and Gene Expression in Insects 6
- Glycosylation and Glycoproteins Research 3
-
- CAR-T cell therapy research 3
- Cytokine Signaling Pathways and Interactions 3
-
- Sarcoma Diagnosis and Treatment 2
- Co-authors
- Berish Y. RubinLing LuL JulianoH E BroxmeyerE PlatzerYashar HirshautArie H. BartalRam P. Tewari
- Cited by
- HematologyImmunologyGenetics
- Journals
- The Journal of Immunology (3 papers)Annals of the New York Academy of Sciences (2 papers)Cancer (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Carl Feit
18 papers receiving 441 citations
Peers
Comparison fields: 5 of 64
- Hematology 145
- Immunology 253
- Genetics 69
- Radiology, Nuclear Medicine and Imaging 93
- Rheumatology 58
Countries citing papers authored by Carl Feit
This map shows the geographic impact of Carl Feit'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 Carl Feit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carl Feit more than expected).
Fields of papers citing papers by Carl Feit
This network shows the impact of papers produced by Carl Feit. 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 Carl Feit. The network helps show where Carl Feit may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carl Feit, 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 | 1986 | 1 | |
| 2 | 1986 | 2 | |
| 3 | 1986 | 16 | |
| 4 | 1986 | 12 | |
| 5 | 1985 | 10 | |
| 6 | 1985 | 3 | |
| 7 | 1984 | 7 | |
| 8 | 1984 | 30 | |
| 9 | Monoclonal antibodies to human sarcoma and connective tissue differentiation antigens. | 1984 | 9 |
| 10 | The addition of insulin to HAT medium (HIAT) enhances hybridoma formation. | 1984 | 2 |
| 11 | 1983 | 302 | |
| 12 | 1983 | 23 | |
| 13 | 1983 | 42 | |
| 14 | 1982 | 2 | |
| 15 | 1982 | 1 | |
| 16 | 1976 | 2 | |
| 17 | 1975 | 6 | |
| 18 | 1974 | 43 |
About Carl Feit
Carl Feit is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Immunology, Microbiology and Molecular Biology, having authored 18 papers that have together received 513 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Glycosylation and Glycoproteins Research (3 papers), CAR-T cell therapy research (3 papers), T-cell and B-cell Immunology (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Virus-based gene therapy research (2 papers) and Sarcoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (145 citations), Immunology (253 citations), Genetics (69 citations), Radiology, Nuclear Medicine and Imaging (93 citations) and Rheumatology (58 citations). Carl Feit has collaborated with scholars based in United States and Israel. Frequent co-authors include Berish Y. Rubin, Ling Lu, L Juliano, H E Broxmeyer, E Platzer, Yashar Hirshaut, Arie H. Bartal, Ram P. Tewari, Sylvia L. Anderson and J Vilček. Their work appears in journals such as The Journal of Immunology, Annals of the New York Academy of Sciences, Cancer, Acta Haematologica and JNCI Journal of the National Cancer Institute.
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.