Ingrid Ehrmann
Impact in
- Microbiology top 2%
- Bacterial Infections and Vaccines
- Reproductive Medicine top 2%
- Sperm and Testicular Function
Papers in ⓘ
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- Bacterial Infections and Vaccines 4
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- Sperm and Testicular Function 4
- Co-authors
- David J. Elliott (20 shared papers)Elizabeth Simpson (6 shared papers)Diane Scott (6 shared papers)Mary C. Gray (5 shared papers)Erik L. Hewlett (5 shared papers)Michael Mitchell (6 shared papers)Peter S. Ellis (4 shared papers)L S Gray (3 shared papers)
- Journals
- Human Molecular Genetics (3 papers)Nucleic Acids Research (3 papers)FEBS Letters (2 papers)PLoS Genetics (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Ingrid Ehrmann
31 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 88
- Microbiology 243
- Reproductive Medicine 255
- Endocrinology 126
- Genetics 552
- Molecular Biology 1.2k
Countries citing papers authored by Ingrid Ehrmann
This map shows the geographic impact of Ingrid Ehrmann'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 Ingrid Ehrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingrid Ehrmann more than expected).
Fields of papers citing papers by Ingrid Ehrmann
This network shows the impact of papers produced by Ingrid Ehrmann. 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 Ingrid Ehrmann. The network helps show where Ingrid Ehrmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Ingrid Ehrmann, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 379 | |
| 2 | 1995 | 157 | |
| 3 | 1996 | 156 | |
| 4 | 1991 | 130 | |
| 5 | 1998 | 90 | |
| 6 | 1991 | 86 | |
| 7 | 1998 | 79 | |
| 8 | 1991 | 72 | |
| 9 | 2013 | 69 | |
| 10 | 2013 | 67 | |
| 11 | 2011 | 61 | |
| 12 | 1994 | 59 | |
| 13 | 2013 | 42 | |
| 14 | 2018 | 38 | |
| 15 | 2009 | 37 | |
| 16 | 2017 | 33 | |
| 17 | 1997 | 33 | |
| 18 | 2018 | 31 | |
| 19 | 2008 | 30 | |
| 20 | 2005 | 25 |
About Ingrid Ehrmann
Ingrid Ehrmann is a scholar working on Microbiology, Reproductive Medicine, Molecular Biology, Genetics and Immunology, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA Research and Splicing (15 papers), RNA modifications and cancer (12 papers), RNA and protein synthesis mechanisms (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Bacterial Genetics and Biotechnology (5 papers), Genomics and Chromatin Dynamics (5 papers), Sperm and Testicular Function (4 papers) and Bacterial Infections and Vaccines (4 papers). The work is most often cited by research in Microbiology (243 citations), Reproductive Medicine (255 citations), Endocrinology (126 citations), Genetics (552 citations) and Molecular Biology (1.2k citations). Ingrid Ehrmann has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include David J. Elliott, Elizabeth Simpson, Diane Scott, Mary C. Gray, Erik L. Hewlett, Michael Mitchell, Peter S. Ellis, L S Gray, Caroline Dalgliesh and V M Gordon. Their work appears in journals such as Human Molecular Genetics, Nucleic Acids Research, FEBS Letters, PLoS Genetics and Journal of Biological Chemistry.
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.