Adolf Graessmann

4.4k citations
94 papers · 3.9k · h-index 35

Impact in

  • Oncology top 5%
    • Polyomavirus and related diseases
    • Cancer-related Molecular Pathways
    • Epigenetics and DNA Methylation
    • RNA Interference and Gene Delivery
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing

Papers in

    • Virus-based gene therapy research 30
    • Animal Genetics and Reproduction 7
    • Polyomavirus and related diseases 23

Adolf Graessmann

93 papers receiving 3.5k citations

Peers

Adolf Graessmann
Comparison fields: 5 of 111
  • Oncology 961
  • Molecular Biology 2.6k
  • Genetics 1.0k
  • Virology 115
  • Biotechnology 141
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Citations per field
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Citations per year

Countries citing papers authored by Adolf Graessmann

Since Specialization
Citations

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

Fields of papers citing papers by Adolf Graessmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adolf Graessmann. 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 Adolf Graessmann. The network helps show where Adolf Graessmann may publish in the future.

Co-authors

The 25 scholars most cited alongside Adolf Graessmann, 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 Adolf Graessmann Line = papers co-authored together Adolf Graessmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997364
2 1997245
3 1987217
4 1978181
5 1980165
6 1983143
7 1996125
8 1998117
9 2003106
10 1978103
11 199695
12 198081
13 198074
14
Hepatitis B virus X protein transcription activation domains are neither required nor sufficient for cell transformation.
199869
15 199063
16 199562
17 198360
18 200255
19
Breast cancer formation in transgenic animals induced by the whey acidic protein SV40 T antigen (WAP-SV-T) hybrid gene.
199352
20 197452

About Adolf Graessmann

Adolf Graessmann is a scholar working on Genetics, Oncology, Molecular Biology, Biotechnology and Ecology, having authored 94 papers that have together received 3.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (30 papers), Polyomavirus and related diseases (23 papers), RNA Interference and Gene Delivery (17 papers), Bacteriophages and microbial interactions (14 papers), RNA Research and Splicing (12 papers), CRISPR and Genetic Engineering (10 papers), RNA and protein synthesis mechanisms (8 papers) and Animal Genetics and Reproduction (7 papers). The work is most often cited by research in Oncology (961 citations), Molecular Biology (2.6k citations), Genetics (1.0k citations), Virology (115 citations) and Biotechnology (141 citations). Adolf Graessmann has collaborated with scholars based in Germany, Israel and United States. Frequent co-authors include Monika Graessmann, Massimo Levrero, Abraham Loyter, Eva Guhl, Robert Tjian, Prem Puri, Maria Laura Avantaggiati, Christian E. Mueller, George H. Fey and B. Wittig. Their work appears in journals such as FEBS Letters, Journal of Virology, Proceedings of the National Academy of Sciences, Nucleic Acids Research and Oncogene.

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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