M. Salditt-Georgieff
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 12
- RNA Research and Splicing 12
- RNA modifications and cancer 8
- Molecular Biology Techniques and Applications 4
- RNA Interference and Gene Delivery 3
- Viral Infectious Diseases and Gene Expression in Insects 2
- Immunology top 10%
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions 2
- Cancer Research top 10%
- Hepatology top 10%
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- Virus-based gene therapy research 3
- Co-authors
- James DarnellMichael M. HarpoldRichard L. HaspelRonald M. EvansAaron J. ShatkinMichael K. MorganYasuhiro FuruichiWarren R. Jelinek
- Cited by
- Molecular BiologyImmunologyOncology
- Journals
- Molecular and Cellular Biology (4 papers)Cell (3 papers)The Journal of Cell Biology (2 papers)
- Partner nations
- United States
In The Last Decade
M. Salditt-Georgieff
20 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 1.5k
- Immunology 410
- Oncology 480
- Cancer Research 251
- Hepatology 78
Countries citing papers authored by M. Salditt-Georgieff
This map shows the geographic impact of M. Salditt-Georgieff'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 M. Salditt-Georgieff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Salditt-Georgieff more than expected).
Fields of papers citing papers by M. Salditt-Georgieff
This network shows the impact of papers produced by M. Salditt-Georgieff. 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 M. Salditt-Georgieff. The network helps show where M. Salditt-Georgieff may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Salditt-Georgieff, 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 | 278 | |
| 2 | 1995 | 203 | |
| 3 | 1987 | 110 | |
| 4 | Liver-specific RNA metabolism in hepatocytes in long-term culture | 1986 | 1 |
| 5 | 1984 | 90 | |
| 6 | 1984 | 42 | |
| 7 | 1982 | 22 | |
| 8 | 1982 | 36 | |
| 9 | 1981 | 21 | |
| 10 | 1981 | 49 | |
| 11 | 1980 | 129 | |
| 12 | 1980 | 51 | |
| 13 | 1980 | 43 | |
| 14 | 1979 | 310 | |
| 15 | 1978 | 5 | |
| 16 | 1978 | 40 | |
| 17 | 1978 | 51 | |
| 18 | 1976 | 157 | |
| 19 | 1976 | 147 | |
| 20 | 1975 | 226 |
About M. Salditt-Georgieff
M. Salditt-Georgieff is a scholar working on Molecular Biology, Genetics and Hepatology, having authored 20 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (12 papers), RNA Research and Splicing (12 papers), RNA modifications and cancer (8 papers), Molecular Biology Techniques and Applications (4 papers), Virus-based gene therapy research (3 papers), RNA Interference and Gene Delivery (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Immunology (410 citations) and Oncology (480 citations). M. Salditt-Georgieff has collaborated with scholars based in United States. Frequent co-authors include James Darnell, Michael M. Harpold, Richard L. Haspel, Ronald M. Evans, Aaron J. Shatkin, Michael K. Morgan, Yasuhiro Furuichi, Warren R. Jelinek, J E Darnell and Sajjad A. Qureshi. Their work appears in journals such as Molecular and Cellular Biology, Cell, The Journal of Cell Biology, Biochemistry and Nucleic Acids Research.
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.