J.S. Sussenbach

5.7k citations
123 papers · 4.6k · h-index 39

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 30
    • RNA Research and Splicing 15
    • Metabolism, Diabetes, and Cancer 15
    • RNA modifications and cancer 13
    • Virus-based gene therapy research 49

J.S. Sussenbach

122 papers receiving 4.3k citations

Peers

J.S. Sussenbach
Comparison fields: 5 of 108
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Genetics 2.1k
  • Molecular Biology 3.1k
  • Cancer Research 409
  • Infectious Diseases 438
Replace James S. Norris with:
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Adrien Staub France
Howard W. Davidson United States
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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 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983338
2 1997233
3 1987142
4 1981135
5 1985135
6 1975129
7 1988128
8 1989113
9 1991111
10 198898
11 199890
12 197790
13 197683
14 198677
15 199074
16 197273
17
Insulin-like growth factor gene expression in human smooth muscle tumors.
199073
18 199172
19 199564
20 199463

About J.S. Sussenbach

J.S. Sussenbach is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Ecology and Surgery, having authored 123 papers that have together received 4.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (49 papers), Growth Hormone and Insulin-like Growth Factors (46 papers), Viral Infectious Diseases and Gene Expression in Insects (30 papers), RNA Research and Splicing (15 papers), Metabolism, Diabetes, and Cancer (15 papers), Bacteriophages and microbial interactions (15 papers), RNA modifications and cancer (13 papers) and Viral gastroenteritis research and epidemiology (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Genetics (2.1k citations), Molecular Biology (3.1k citations), Cancer Research (409 citations) and Infectious Diseases (438 citations). J.S. Sussenbach has collaborated with scholars based in Netherlands, United States and Ukraine. 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, Molecular and Cellular Endocrinology 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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