David Ellinghaus
Impact in
Papers in
- Genetics 25
- Genetic Associations and Epidemiology 11
- Inflammatory Bowel Disease 11
- Genetic Mapping and Diversity in Plants and Animals 4
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- Gene expression and cancer classification 3
- Co-authors
- Ute Willhoeft (1 shared paper)Stefan Kurtz (1 shared paper)André Franke (27 shared papers)Britt‐Sabina Petersen (3 shared papers)Stefan Schreiber (7 shared papers)Michael Nothnagel (3 shared papers)Michael Krawczak (5 shared papers)Marc P. Hoeppner (2 shared papers)
- Journals
- Scientific Reports (4 papers)Bioinformatics (3 papers)Inflammatory Bowel Diseases (2 papers)Journal of Crohn s and Colitis (2 papers)Gut Microbes (2 papers)
- Partner nations
- GermanyUnited StatesDenmark
In The Last Decade
David Ellinghaus
42 papers receiving 2.0k citations
David Ellinghaus's Hit Papers
Peers
Comparison fields: 5 of 124
- Aging 85
- Genetics 594
- Plant Science 686
- Molecular Biology 943
- Horticulture 13
Countries citing papers authored by David Ellinghaus
This map shows the geographic impact of David Ellinghaus'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 David Ellinghaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ellinghaus more than expected).
Fields of papers citing papers by David Ellinghaus
This network shows the impact of papers produced by David Ellinghaus. 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 David Ellinghaus. The network helps show where David Ellinghaus may publish in the future.
Co-authors
The 25 scholars most cited alongside David Ellinghaus, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | LTRharvest, an efficient and flexible software for de novo detection of LTR retrotransposons Hit paper breakdown → | 2008 | 1004 |
| 2 | 2011 | 155 | |
| 3 | 2017 | 141 | |
| 4 | 2008 | 111 | |
| 5 | 2012 | 91 | |
| 6 | 2014 | 67 | |
| 7 | 2017 | 61 | |
| 8 | 2017 | 46 | |
| 9 | 2022 | 46 | |
| 10 | 2015 | 30 | |
| 11 | 2022 | 27 | |
| 12 | 2021 | 24 | |
| 13 | 2014 | 22 | |
| 14 | 2016 | 20 | |
| 15 | 2012 | 19 | |
| 16 | 2010 | 18 | |
| 17 | 2018 | 18 | |
| 18 | 2015 | 17 | |
| 19 | 2009 | 16 | |
| 20 | 2022 | 16 |
About David Ellinghaus
David Ellinghaus is a scholar working on Genetics, Molecular Biology, Surgery, Epidemiology and Immunology, having authored 42 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (11 papers), Inflammatory Bowel Disease (11 papers), Helicobacter pylori-related gastroenterology studies (4 papers), IL-33, ST2, and ILC Pathways (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Cancer Genomics and Diagnostics (3 papers), Gene expression and cancer classification (3 papers) and Liver Diseases and Immunity (3 papers). The work is most often cited by research in Aging (85 citations), Genetics (594 citations), Plant Science (686 citations), Molecular Biology (943 citations) and Horticulture (13 citations). David Ellinghaus has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Ute Willhoeft, Stefan Kurtz, André Franke, Britt‐Sabina Petersen, Stefan Schreiber, Michael Nothnagel, Michael Krawczak, Marc P. Hoeppner, Lars Wienbrandt and Yun Li. Their work appears in journals such as Scientific Reports, Bioinformatics, Inflammatory Bowel Diseases, Journal of Crohn s and Colitis and Gut Microbes.
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.