Tim Geistlinger
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- PI3K/AKT/mTOR signaling in cancer
Papers in
- Genetics 4
- Estrogen and related hormone effects 4
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- Muscle metabolism and nutrition 1
- Co-authors
- Myles Brown (5 shared papers)Poornima Bhat‐Nakshatri (4 shared papers)Harikrishna Nakshatri (4 shared papers)Jason S. Carroll (4 shared papers)Yunlong Liu (2 shared papers)Guohua Wang (2 shared papers)Nikail Collins (3 shared papers)Scott M. Hammond (1 shared paper)
- Journals
- Nucleic Acids Research (1 paper)American Journal Of Pathology (1 paper)Molecular and Cellular Biology (1 paper)Cancer Research (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Tim Geistlinger
7 papers receiving 620 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 237
- Molecular Biology 411
- Genetics 137
- Oncology 74
- Immunology 55
Countries citing papers authored by Tim Geistlinger
This map shows the geographic impact of Tim Geistlinger'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 Tim Geistlinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Geistlinger more than expected).
Fields of papers citing papers by Tim Geistlinger
This network shows the impact of papers produced by Tim Geistlinger. 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 Tim Geistlinger. The network helps show where Tim Geistlinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Geistlinger, 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 | 2009 | 305 | |
| 2 | 2011 | 117 | |
| 3 | 2008 | 82 | |
| 4 | 2009 | 59 | |
| 5 | 2010 | 41 | |
| 6 | 2013 | 24 | |
| 7 | 2024 | 2 |
About Tim Geistlinger
Tim Geistlinger is a scholar working on Genetics, Cell Biology, Molecular Biology, Cancer Research and Pathology and Forensic Medicine, having authored 7 papers that have together received 630 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), RNA Research and Splicing (2 papers), Vitamin D Research Studies (1 paper), Cancer-related molecular mechanisms research (1 paper), Muscle metabolism and nutrition (1 paper), Genomics and Chromatin Dynamics (1 paper), Agriculture Sustainability and Environmental Impact (1 paper) and Nuclear Receptors and Signaling (1 paper). The work is most often cited by research in Cancer Research (237 citations), Molecular Biology (411 citations), Genetics (137 citations), Oncology (74 citations) and Immunology (55 citations). Tim Geistlinger has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Myles Brown, Poornima Bhat‐Nakshatri, Harikrishna Nakshatri, Jason S. Carroll, Yunlong Liu, Guohua Wang, Nikail Collins, Scott M. Hammond, Edward F. Srour and Michael J.S. Thomson. Their work appears in journals such as Nucleic Acids Research, American Journal Of Pathology, Molecular and Cellular Biology, Cancer Research and 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.