Michaela Lang
Impact in
- Genetics top 10%
- Inflammatory Bowel Disease
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- Gut microbiota and health
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
Papers in
- Genetics 18
- Inflammatory Bowel Disease 17
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- Genetic factors in colorectal cancer 9
- Co-authors
- Christoph Gasché (29 shared papers)Vineeta Khare (22 shared papers)Rayko Evstatiev (15 shared papers)Kyle W. Dammann (8 shared papers)Christoph Campregher (8 shared papers)Adrian P. Frick (8 shared papers)Maximilian Baumgartner (10 shared papers)Kristine Jimenez (7 shared papers)
- Journals
- Gastroenterology (8 papers)Nutrients (3 papers)Cell Reports (2 papers)Scientific Reports (2 papers)PLoS ONE (2 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Michaela Lang
40 papers receiving 990 citations
Peers
Comparison fields: 5 of 87
- Genetics 201
- Molecular Biology 420
- Complementary and alternative medicine 50
- Gastroenterology 36
- Pathology and Forensic Medicine 82
Countries citing papers authored by Michaela Lang
This map shows the geographic impact of Michaela Lang'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 Michaela Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Lang more than expected).
Fields of papers citing papers by Michaela Lang
This network shows the impact of papers produced by Michaela Lang. 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 Michaela Lang. The network helps show where Michaela Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaela Lang, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 108 | |
| 2 | 2012 | 103 | |
| 3 | 2017 | 81 | |
| 4 | 2018 | 60 | |
| 5 | 2013 | 55 | |
| 6 | 2016 | 55 | |
| 7 | 2019 | 53 | |
| 8 | 2012 | 44 | |
| 9 | 2012 | 44 | |
| 10 | 2015 | 43 | |
| 11 | 2008 | 33 | |
| 12 | 2013 | 26 | |
| 13 | 2014 | 26 | |
| 14 | 2020 | 25 | |
| 15 | 2013 | 24 | |
| 16 | 2019 | 23 | |
| 17 | 2021 | 23 | |
| 18 | 2014 | 22 | |
| 19 | 2016 | 21 | |
| 20 | 2022 | 20 |
About Michaela Lang
Michaela Lang is a scholar working on Genetics, Pathology and Forensic Medicine, Molecular Biology, Hematology and Cancer Research, having authored 44 papers that have together received 1k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (17 papers), Genetic factors in colorectal cancer (9 papers), Gut microbiota and health (9 papers), Inflammatory mediators and NSAID effects (3 papers), Pulmonary Hypertension Research and Treatments (3 papers), Iron Metabolism and Disorders (3 papers), NF-κB Signaling Pathways (3 papers) and Nigella sativa pharmacological applications (2 papers). The work is most often cited by research in Genetics (201 citations), Molecular Biology (420 citations), Complementary and alternative medicine (50 citations), Gastroenterology (36 citations) and Pathology and Forensic Medicine (82 citations). Michaela Lang has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Christoph Gasché, Vineeta Khare, Rayko Evstatiev, Kyle W. Dammann, Christoph Campregher, Adrian P. Frick, Maximilian Baumgartner, Kristine Jimenez, RALPH THEO SCHERMULY and Georg Oberhuber. Their work appears in journals such as Gastroenterology, Nutrients, Cell Reports, Scientific Reports and PLoS ONE.
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.