G. Schidlovsky
- Epidemiology top 10%
- Oncology top 10%
- Molecular Biology
- Immunology
- Genetics top 10%
- Co-authors
- Joseph E. VarnerMorton DlMalmgren RaRaoul Ė. BenvenisteCharles J. SherrGeorge J. TodaroS. A. MayyasiD. D. Joel
- Topics
- Virus-based gene therapy research (17 papers)Cytomegalovirus and herpesvirus research (13 papers)Herpesvirus Infections and Treatments (12 papers)
- Cited by
- VirologyImmunologyOncology
- Journals
- ScienceProceedings of the National Academy of SciencesJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
G. Schidlovsky
51 papers receiving 831 citations
Peers
Comparison fields: 5 of 106
- Epidemiology 327
- Oncology 259
- Molecular Biology 209
- Immunology 206
- Genetics 193
Countries citing papers authored by G. Schidlovsky
This map shows the geographic impact of G. Schidlovsky'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 G. Schidlovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Schidlovsky more than expected).
Fields of papers citing papers by G. Schidlovsky
This network shows the impact of papers produced by G. Schidlovsky. 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 G. Schidlovsky. The network helps show where G. Schidlovsky may publish in the future.
Co-authorship network of co-authors of G. Schidlovsky
This figure shows the co-authorship network connecting the top 25 collaborators of G. Schidlovsky. A scholar is included among the top collaborators of G. Schidlovsky 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 G. Schidlovsky. G. Schidlovsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 15 | |
| 3 | 10 | |
| 4 | 11 | |
| 5 | 19 | |
| 6 | 12 | |
| 7 | 44 | |
| 8 | 1 | |
| 9 | 27 | |
| 10 | Lead nephropathy: In vivo x ray fluorescence (XRF) for assessing body lead stores | 7 |
| 11 | 63 | |
| 12 | 7 | |
| 13 | 8 | |
| 14 | 6 | |
| 15 | 2 | |
| 16 | 8 | |
| 17 | Detection of virus-associated antigen on membranes of cells productively infected with Marek's disease herpesvirus. | 20 |
| 18 | Immunologic and virus studies with human sarcomas. | 79 |
| 19 | The coating reaction of the herpes-type virus isolated from malignant tissues with an antibody present in sera. | 27 |
| 20 | Antigenic study on the Friend, Moloney and Rauscher viruses with the electron microscope agglutination test. | 2 |
About G. Schidlovsky
G. Schidlovsky is a scholar working on Virology, Radiation and Genetics, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (17 papers), Cytomegalovirus and herpesvirus research (13 papers) and Herpesvirus Infections and Treatments (12 papers). The work is most often cited by research in Virology (99 citations), Immunology (206 citations) and Oncology (259 citations). G. Schidlovsky has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Joseph E. Varner, Morton Dl, Malmgren Ra, Raoul Ė. Benveniste, Charles J. Sherr, George J. Todaro, S. A. Mayyasi, D. D. Joel, M. E. LeFevre and James H. Monroe. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.