Michael Theile

679 citations
27 papers · 567 · h-index 12

Impact in

Papers in

    • CRISPR and Genetic Engineering 4
    • Biochemical and Molecular Research 3
    • DNA Repair Mechanisms 3
    • Virus-based gene therapy research 4

Michael Theile

25 papers receiving 532 citations

Peers

Michael Theile
Comparison fields: 5 of 65
  • Orthopedics and Sports Medicine 64
  • Oncology 183
  • Cell Biology 88
  • Cancer Research 77
  • Immunology and Allergy 27
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H. Mann Germany
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Citations per field
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Citations per year

Countries citing papers authored by Michael Theile

Since Specialization
Citations

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

Fields of papers citing papers by Michael Theile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000118
2
A defined chromosome 6q fragment (at D6S310) harbors a putative tumor suppressor gene for breast cancer.
1996107
3 201172
4 199047
5 197638
6 198036
7
Suppression of tumorigenicity of breast cancer cells by transfer of human chromosome 17 does not require transferred BRCA1 and p53 genes.
199530
8 197722
9 198318
10 198013
11 199812
12 200011
13 197810
14 19946
15 19686
16 19874
17 19703
18
Are transforming and mutagenic activities of oncogenic papovaviruses correlated?
19833
19
In vitro transformation and mutation of Chinese hamster cells by different SV40 nucleoprotein complexes.
19832
20 19782

About Michael Theile

Michael Theile is a scholar working on Molecular Biology, Genetics, Oncology, Infectious Diseases and Ecology, having authored 27 papers that have together received 567 indexed citations. Recurring topics across this work include Polyomavirus and related diseases (6 papers), Virus-based gene therapy research (4 papers), CRISPR and Genetic Engineering (4 papers), Biocrusts and Microbial Ecology (3 papers), Biochemical and Molecular Research (3 papers), DNA Repair Mechanisms (3 papers), HIV/AIDS drug development and treatment (3 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (64 citations), Oncology (183 citations), Cell Biology (88 citations), Cancer Research (77 citations) and Immunology and Allergy (27 citations). Michael Theile has collaborated with scholars based in Germany and United States. Frequent co-authors include Siegfried Scherneck, Erhard Geißler, W. Arnold, Mike Strauss, Burkhard Jandrig, E. Geißler, Wolfgang Haensch, Heiko Reichel, Manfred Nelitz and Sabine Lippacher. Their work appears in journals such as Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, Human Genetics, Archives of Virology, Journal of Basic Microbiology and Knee Surgery Sports Traumatology Arthroscopy.

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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