J.S. Sussenbach

5.7k citations
129 papers · 5.1k · h-index 41

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 31
    • Metabolism, Diabetes, and Cancer 16
    • RNA Research and Splicing 15
    • RNA modifications and cancer 13
    • Virus-based gene therapy research 51

J.S. Sussenbach

127 papers receiving 4.6k citations

Peers

J.S. Sussenbach
Comparison fields: 5 of 108
  • Endocrinology, Diabetes and Metabolism 1.7k
  • Genetics 2.4k
  • Molecular Biology 3.4k
  • Infectious Diseases 510
  • Cancer Research 403
Replace James S. Norris with:
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Citations per field
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Citations per year

Countries citing papers authored by J.S. Sussenbach

Since Specialization
Citations

This map shows the geographic impact of J.S. Sussenbach'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.S. Sussenbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.S. Sussenbach more than expected).

Fields of papers citing papers by J.S. Sussenbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.S. Sussenbach. 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.S. Sussenbach. The network helps show where J.S. Sussenbach may publish in the future.

Co-authors

The 25 scholars most cited alongside J.S. Sussenbach, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J.S. Sussenbach Line = papers co-authored together J.S. Sussenbach links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983372
2 1997238
3 1987157
4 1985153
5 1981146
6 1988140
7 1975138
8 1989132
9 1991119
10 1988110
11 1977102
12 199890
13 197690
14 198685
15 197282
16
Insulin-like growth factor gene expression in human smooth muscle tumors.
199081
17 199079
18 199178
19 199568
20 199567

About J.S. Sussenbach

J.S. Sussenbach is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Ecology and Surgery, having authored 129 papers that have together received 5.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (51 papers), Growth Hormone and Insulin-like Growth Factors (50 papers), Viral Infectious Diseases and Gene Expression in Insects (31 papers), Metabolism, Diabetes, and Cancer (16 papers), Bacteriophages and microbial interactions (16 papers), RNA Research and Splicing (15 papers), RNA modifications and cancer (13 papers) and Viral gastroenteritis research and epidemiology (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Genetics (2.4k citations), Molecular Biology (3.4k citations), Infectious Diseases (510 citations) and Cancer Research (403 citations). J.S. Sussenbach has collaborated with scholars based in Netherlands, United States and Russia. Frequent co-authors include F.M.A. van Schaik, Peter C. van der Vliet, P. Elly Holthuizen, J. L. Van den Brande, M. Jansen, P.H. Steenbergh, Paul H. Steenbergh, P. de Pagter-Holthuizen, W. Kruijer and W. Berends. Their work appears in journals such as Virology, FEBS Letters, Nucleic Acids Research, Journal of Virology and European Journal of Biochemistry.

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.

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