Thomas Giger
Impact in
- Genetics top 2%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Developmental Biology top 5%
Papers in
- Genetics 11
- Genetics and Neurodevelopmental Disorders 4
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
- Genetic diversity and population structure 2
- Genetic Syndromes and Imprinting 2
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- Genomics and Chromatin Dynamics 3
- RNA modifications and cancer 3
- Congenital heart defects research 3
- Epigenetics and DNA Methylation 2
- Co-authors
- Philipp Khaitovich (5 shared papers)Svante Pääbo (5 shared papers)Janet F. Kelso (4 shared papers)Henriette Franz (3 shared papers)Michael Lachmann (3 shared papers)Michael W. Nachman (1 shared paper)Jeffrey Martin Good (1 shared paper)Matthew D. Dean (1 shared paper)
- Journals
- PLoS Genetics (4 papers)Aquaculture (1 paper)Synlett (1 paper)Neuron (1 paper)eLife (1 paper)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Thomas Giger
20 papers receiving 3.4k citations
Thomas Giger's Hit Papers
Peers
Comparison fields: 5 of 151
- Genetics 1.1k
- Developmental Biology 69
- Molecular Biology 1.9k
- Cancer Research 387
- Developmental Neuroscience 98
Countries citing papers authored by Thomas Giger
This map shows the geographic impact of Thomas Giger'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 Thomas Giger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Giger more than expected).
Fields of papers citing papers by Thomas Giger
This network shows the impact of papers produced by Thomas Giger. 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 Thomas Giger. The network helps show where Thomas Giger may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Giger, 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 | Transcriptome and genome sequencing uncovers functional variation in humans Hit paper breakdown → | 2013 | 1399 |
| 2 | 2009 | 427 | |
| 3 | 2013 | 342 | |
| 4 | 2009 | 288 | |
| 5 | 2015 | 220 | |
| 6 | 2015 | 155 | |
| 7 | 2008 | 134 | |
| 8 | 2010 | 95 | |
| 9 | 2008 | 91 | |
| 10 | 2003 | 69 | |
| 11 | 2006 | 66 | |
| 12 | 2006 | 61 | |
| 13 | 1995 | 57 | |
| 14 | 2008 | 41 | |
| 15 | 1998 | 25 | |
| 16 | 2006 | 14 | |
| 17 | 2010 | 12 | |
| 18 | 2005 | 5 | |
| 19 | 2017 | 5 | |
| 20 | 1992 | 1 |
About Thomas Giger
Thomas Giger is a scholar working on Genetics, Molecular Biology, Nature and Landscape Conservation, Physiology and Emergency Medical Services, having authored 20 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (4 papers), Genomics and Chromatin Dynamics (3 papers), RNA modifications and cancer (3 papers), Congenital heart defects research (3 papers), Epigenetics and DNA Methylation (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Genetic diversity and population structure (2 papers) and Genetic Syndromes and Imprinting (2 papers). The work is most often cited by research in Genetics (1.1k citations), Developmental Biology (69 citations), Molecular Biology (1.9k citations), Cancer Research (387 citations) and Developmental Neuroscience (98 citations). Thomas Giger has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Philipp Khaitovich, Svante Pääbo, Janet F. Kelso, Henriette Franz, Michael Lachmann, Michael W. Nachman, Jeffrey Martin Good, Matthew D. Dean, Anna Lorenc and Mehmet Somel. Their work appears in journals such as PLoS Genetics, Aquaculture, Synlett, Neuron and eLife.
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.