Hansi Weißensteiner
- Archeology top 0.5%
- Clinical Biochemistry top 2%
- Genetics top 2%
- Forensic and Genetic Research 8
- Genomics and Rare Diseases 5
- Genetic Associations and Epidemiology 5
- Paleontology top 5%
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies 14
- Mitochondrial Function and Pathology 11
- Molecular Biology Techniques and Applications 7
- Metabolomics and Mass Spectrometry Studies 6
- RNA modifications and cancer 5
- Co-authors
- Florian KronenbergSebastian SchönherrAnita Kloss‐BrandstätterGünther SpechtLukas ForerDominic PacherAntonio SalasHans‐Jürgen Bandelt
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Hansi Weißensteiner
39 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Archeology 330
- Clinical Biochemistry 216
- Genetics 848
- Paleontology 148
- Molecular Biology 835
Countries citing papers authored by Hansi Weißensteiner
This map shows the geographic impact of Hansi Weißensteiner'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 Hansi Weißensteiner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hansi Weißensteiner more than expected).
Fields of papers citing papers by Hansi Weißensteiner
This network shows the impact of papers produced by Hansi Weißensteiner. 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 Hansi Weißensteiner. The network helps show where Hansi Weißensteiner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hansi Weißensteiner, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 43 | |
| 6 | 2023 | 9 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 46 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2018 | 30 | |
| 14 | HaploGrep 2: mitochondrial haplogroup classification in the era of high-throughput sequencingbreakdown → | 2016 | 518 |
| 15 | 2015 | 18 | |
| 16 | 2015 | 35 | |
| 17 | 2014 | 46 | |
| 18 | 2013 | 5 | |
| 19 | 2012 | 34 | |
| 20 | 2009 | 8 |
About Hansi Weißensteiner
Hansi Weißensteiner is a scholar working on Clinical Biochemistry, Aging and Genetics, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), Mitochondrial Function and Pathology (11 papers), Forensic and Genetic Research (8 papers), Molecular Biology Techniques and Applications (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Genomics and Rare Diseases (5 papers), Genetic Associations and Epidemiology (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Archeology (330 citations), Clinical Biochemistry (216 citations) and Genetics (848 citations). Hansi Weißensteiner has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Florian Kronenberg, Sebastian Schönherr, Anita Kloss‐Brandstätter, Günther Specht, Lukas Forer, Dominic Pacher, Antonio Salas, Hans‐Jürgen Bandelt, Robert Binna and Bernd Schöpf. Their work appears in journals such as Cell, Nucleic Acids Research and Nature Communications.
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.