Michael Utting
Impact in
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- Cancer Genomics and Diagnostics
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- Neurobiology and Insect Physiology Research
Papers in
- Surgery 7
- Bladder and Urothelial Cancer Treatments 6
- Urinary and Genital Oncology Studies 2
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- Epigenetics and DNA Methylation 2
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Kerstin Junker (5 shared papers)Wolfram Werner (4 shared papers)Regine Dahse (3 shared papers)Jörg Schubert (2 shared papers)Renate Sandeman (2 shared papers)D. C. Sandeman (2 shared papers)Hans Agricola (1 shared paper)J. Schubert (2 shared papers)
- Journals
- The Journal of Comparative Neurology (2 papers)Annals of the New York Academy of Sciences (2 papers)Urology (1 paper)Oncology Reports (1 paper)BioTechniques (1 paper)
- Partner nations
- GermanyAustraliaUnited Kingdom
In The Last Decade
Michael Utting
11 papers receiving 315 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 91
- Cellular and Molecular Neuroscience 82
- Surgery 119
- Pathology and Forensic Medicine 46
- Endocrine and Autonomic Systems 15
Countries citing papers authored by Michael Utting
This map shows the geographic impact of Michael Utting'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 Utting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Utting more than expected).
Fields of papers citing papers by Michael Utting
This network shows the impact of papers produced by Michael Utting. 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 Utting. The network helps show where Michael Utting may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Utting, 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 | Microsatellite analysis of free tumor DNA in urine, serum, and plasma of patients: a minimally invasive method for the detection of bladder cancer. | 2002 | 95 |
| 2 | 2000 | 80 | |
| 3 | 2003 | 41 | |
| 4 | 2002 | 22 | |
| 5 | 2005 | 21 | |
| 6 | 2001 | 19 | |
| 7 | 2004 | 13 | |
| 8 | 2000 | 9 | |
| 9 | 2000 | 8 | |
| 10 | 2009 | 7 | |
| 11 | 2000 | 4 |
About Michael Utting
Michael Utting is a scholar working on Surgery, Molecular Biology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Cancer Research, having authored 11 papers that have together received 319 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (6 papers), Genetic factors in colorectal cancer (3 papers), Cancer Genomics and Diagnostics (2 papers), Urinary and Genital Oncology Studies (2 papers), Epigenetics and DNA Methylation (2 papers), Neurobiology and Insect Physiology Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Crustacean biology and ecology (1 paper). The work is most often cited by research in Cancer Research (91 citations), Cellular and Molecular Neuroscience (82 citations), Surgery (119 citations), Pathology and Forensic Medicine (46 citations) and Endocrine and Autonomic Systems (15 citations). Michael Utting has collaborated with scholars based in Germany, Australia and United Kingdom. Frequent co-authors include Kerstin Junker, Wolfram Werner, Regine Dahse, Jörg Schubert, Renate Sandeman, D. C. Sandeman, Hans Agricola, J. Schubert, Wolfgang Schulze and Matthias Platzer. Their work appears in journals such as The Journal of Comparative Neurology, Annals of the New York Academy of Sciences, Urology, Oncology Reports and BioTechniques.
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.