Frieder Hadlich
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Animal Science and Zoology top 5%
Papers in
-
- Circular RNAs in diseases 7
- Molecular Biology Techniques and Applications 6
- RNA Research and Splicing 5
- RNA modifications and cancer 5
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- Cancer-related molecular mechanisms research 16
- MicroRNA in disease regulation 14
- Co-authors
- Siriluck Ponsuksili (35 shared papers)Klaus Wimmers (35 shared papers)Rosemarie Weikard (12 shared papers)Eduard Muráni (25 shared papers)Christa Kuehn (4 shared papers)Nares Trakooljul (29 shared papers)M. Schwerin (3 shared papers)Dawit Tesfaye (2 shared papers)
In The Last Decade
Frieder Hadlich
55 papers receiving 797 citations
Peers
Comparison fields: 5 of 96
- Cancer Research 288
- Animal Science and Zoology 88
- Obstetrics and Gynecology 62
- Aquatic Science 52
- Agronomy and Crop Science 71
Countries citing papers authored by Frieder Hadlich
This map shows the geographic impact of Frieder Hadlich'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 Frieder Hadlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frieder Hadlich more than expected).
Fields of papers citing papers by Frieder Hadlich
This network shows the impact of papers produced by Frieder Hadlich. 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 Frieder Hadlich. The network helps show where Frieder Hadlich may publish in the future.
Co-authors
The 25 scholars most cited alongside Frieder Hadlich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 106 | |
| 2 | 2021 | 56 | |
| 3 | 2014 | 48 | |
| 4 | 2013 | 41 | |
| 5 | 2018 | 41 | |
| 6 | 2019 | 30 | |
| 7 | 2019 | 29 | |
| 8 | 2008 | 25 | |
| 9 | 2016 | 25 | |
| 10 | 2013 | 22 | |
| 11 | 2018 | 19 | |
| 12 | 2021 | 19 | |
| 13 | 2015 | 18 | |
| 14 | 2017 | 16 | |
| 15 | 2018 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2015 | 15 | |
| 18 | 2021 | 14 | |
| 19 | 2017 | 14 | |
| 20 | 2019 | 13 |
About Frieder Hadlich
Frieder Hadlich is a scholar working on Molecular Biology, Cancer Research, Genetics, Immunology and Animal Science and Zoology, having authored 62 papers that have together received 803 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (14 papers), Circular RNAs in diseases (7 papers), Adipose Tissue and Metabolism (7 papers), Molecular Biology Techniques and Applications (6 papers), Genetic and phenotypic traits in livestock (5 papers), RNA Research and Splicing (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (288 citations), Animal Science and Zoology (88 citations), Obstetrics and Gynecology (62 citations), Aquatic Science (52 citations) and Agronomy and Crop Science (71 citations). Frieder Hadlich has collaborated with scholars based in Germany, France and Belgium. Frequent co-authors include Siriluck Ponsuksili, Klaus Wimmers, Rosemarie Weikard, Eduard Muráni, Christa Kuehn, Nares Trakooljul, M. Schwerin, Dawit Tesfaye, Christa Kühn and Asghar Ali. Their work appears in journals such as Scientific Reports, BMC Genomics, Frontiers in Genetics, Genomics and Open Biology.
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.