M. Suh
Impact in
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- Clusterin in disease pathology
Papers in
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- Viral Infectious Diseases and Gene Expression in Insects 4
- Nuclear Structure and Function 3
- Genetics 10
- Virus-based gene therapy research 10
- Co-authors
- Marc Danik (3 shared papers)J.‐G. Chabot (2 shared papers)Alim Louis Benabid (2 shared papers)Rémi Quirion (1 shared paper)C Mercier (1 shared paper)Camille Chauvin (1 shared paper)B Gratacap (1 shared paper)A. Laurent (1 shared paper)
In The Last Decade
M. Suh
20 papers receiving 371 citations
Peers
Comparison fields: 5 of 64
- Oncology 161
- Virology 24
- Immunology 82
- Epidemiology 113
- Molecular Biology 208
Countries citing papers authored by M. Suh
This map shows the geographic impact of M. Suh'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. Suh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Suh more than expected).
Fields of papers citing papers by M. Suh
This network shows the impact of papers produced by M. Suh. 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. Suh. The network helps show where M. Suh may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Suh, 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 | 1991 | 85 | |
| 2 | 1993 | 75 | |
| 3 | 1993 | 67 | |
| 4 | 1982 | 34 | |
| 5 | 1980 | 23 | |
| 6 | Analysis of chromosomes, nucleic acids, and polypeptides in hamster cells transformed by herpes simplex virus type 2. | 1979 | 21 |
| 7 | 1972 | 20 | |
| 8 | Cell surface adenosine 5'-triphosphatase as an in vitro marker of the lineage and cytodifferentiation of oncogenic epithelial cells from rat liver parenchyma. | 1980 | 18 |
| 9 | 1990 | 13 | |
| 10 | 1982 | 11 | |
| 11 | 1982 | 7 | |
| 12 | 1988 | 6 | |
| 13 | 1986 | 6 | |
| 14 | 1990 | 6 | |
| 15 | 1987 | 5 | |
| 16 | 1983 | 5 | |
| 17 | 1974 | 4 | |
| 18 | 1988 | 2 | |
| 19 | 1990 | 2 | |
| 20 | Expression in bacteria of a polypeptide encoded by a transforming fragment of herpes simplex virus type 2. | 1991 | 1 |
About M. Suh
M. Suh is a scholar working on Molecular Biology, Genetics, Epidemiology, Oncology and Immunology, having authored 20 papers that have together received 411 indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Herpesvirus Infections and Treatments (9 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Nuclear Structure and Function (3 papers), Animal Virus Infections Studies (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Viral-associated cancers and disorders (2 papers) and Clusterin in disease pathology (2 papers). The work is most often cited by research in Oncology (161 citations), Virology (24 citations), Immunology (82 citations), Epidemiology (113 citations) and Molecular Biology (208 citations). M. Suh has collaborated with scholars based in Canada, France and Slovakia. Frequent co-authors include Marc Danik, J.‐G. Chabot, Alim Louis Benabid, Rémi Quirion, Rémi Quirion, C Mercier, Camille Chauvin, B Gratacap, A. Laurent and P Stoebner. Their work appears in journals such as Journal of General Virology, Virology, Molecular and Cellular Biology, Biochemistry and Cell Biology and The Journal of Comparative Neurology.
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.