J Fedorko
- Oncology top 2%
- Lung Cancer Research Studies 5
- Peptidase Inhibition and Analysis 3
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- Monoclonal and Polyclonal Antibodies Research 8
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- Neuropeptides and Animal Physiology 3
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 2
- Cancer Research top 10%
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- Virus-based gene therapy research 3
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- Neuroendocrine Tumor Research Advances 3
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- Neuroblastoma Research and Treatments 3
J Fedorko
28 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Oncology 1.4k
- Radiology, Nuclear Medicine and Imaging 956
- Cellular and Molecular Neuroscience 655
- Molecular Biology 1.6k
- Cancer Research 296
Countries citing papers authored by J Fedorko
This map shows the geographic impact of J Fedorko'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 Fedorko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Fedorko more than expected).
Fields of papers citing papers by J Fedorko
This network shows the impact of papers produced by J Fedorko. 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 Fedorko. The network helps show where J Fedorko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J Fedorko, 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 | 2018 | 14 | |
| 2 | Bacterial Species Isolated from the Sputum of Patients with Chronic Bronchitis | 2015 | 0 |
| 3 | 1995 | 98 | |
| 4 | 1993 | 257 | |
| 5 | 1989 | 429 | |
| 6 | 1989 | 22 | |
| 7 | 1988 | 47 | |
| 8 | 1988 | 1 | |
| 9 | 1988 | 34 | |
| 10 | Bombesin-like peptides can function as autocrine growth factors in human small-cell lung cancerbreakdown → | 1985 | 1163 |
| 11 | 1985 | 15 | |
| 12 | Determination of the immunoreactive function of radiolabeled monoclonal antibodies by linear extrapolation to binding at infinite antigen excessbreakdown → | 1984 | 845 |
| 13 | 1984 | 40 | |
| 14 | 1983 | 64 | |
| 15 | 1980 | 49 | |
| 16 | 1976 | 11 | |
| 17 | In vitro activity of coumermycin AI. | 1969 | 2 |
| 18 | 1967 | 2 | |
| 19 | 1966 | 3 | |
| 20 | 1965 | 1 |
About J Fedorko
J Fedorko is a scholar working on Molecular Medicine, Radiology, Nuclear Medicine and Imaging and Microbiology, having authored 30 papers that have together received 3.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Lung Cancer Research Studies (5 papers), Virus-based gene therapy research (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Neuroblastoma Research and Treatments (3 papers), Peptidase Inhibition and Analysis (3 papers), Neuropeptides and Animal Physiology (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Oncology (1.4k citations), Radiology, Nuclear Medicine and Imaging (956 citations) and Cellular and Molecular Neuroscience (655 citations). J Fedorko has collaborated with scholars based in United States, Ukraine and Malaysia. Frequent co-authors include Frank Cuttitta, John D. Minna, James L. Mulshine, Desmond N. Carney, Terry W. Moody, Epie Boven, Tore Lindmo, Paul A. Bunn, Marion M. Nau and J D Minna. Their work appears in journals such as Lung Cancer, Journal of Bacteriology, Journal of Biological Chemistry, Molecular and Cellular Biology and The American Journal of the Medical Sciences.
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.