Anna Jauch
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments 52
- Acute Myeloid Leukemia Research 16
- Molecular Biology top 1%
- Amyloidosis: Diagnosis, Treatment, Outcomes 22
- Protein Degradation and Inhibitors 21
- Genetics top 1%
- Genomic variations and chromosomal abnormalities 49
- Chronic Lymphocytic Leukemia Research 16
- Genetics top 1%
- Genomic variations and chromosomal abnormalities 49
- Chronic Lymphocytic Leukemia Research 16
- Oncology top 2%
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- Chromosomal and Genetic Variations 25
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- Cancer Genomics and Diagnostics 16
- Co-authors
- Thomas CremerHeidi Holtgreve-GrezHartmut GoldschmidtJan KarlsederDirk HoseJohannes WienbergRoscoe StanyonAnthony D. Ho
- Cited by
- HematologyMolecular BiologyGenetics
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Anna Jauch
190 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Hematology 1.8k
- Molecular Biology 5.2k
- Genetics 789
- Genetics 1.6k
- Oncology 1.6k
Countries citing papers authored by Anna Jauch
This map shows the geographic impact of Anna Jauch'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 Anna Jauch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Jauch more than expected).
Fields of papers citing papers by Anna Jauch
This network shows the impact of papers produced by Anna Jauch. 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 Anna Jauch. The network helps show where Anna Jauch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anna Jauch, 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 | 2023 | 2 | |
| 2 | 2023 | 15 | |
| 3 | 2021 | 6 | |
| 4 | 2020 | 61 | |
| 5 | 2020 | 21 | |
| 6 | 2018 | 3 | |
| 7 | 2018 | 32 | |
| 8 | 2018 | 33 | |
| 9 | 2014 | 29 | |
| 10 | 2014 | 5 | |
| 11 | 2013 | 51 | |
| 12 | 2013 | 35 | |
| 13 | 2010 | 124 | |
| 14 | 2007 | 26 | |
| 15 | 2005 | 74 | |
| 16 | 2005 | 19 | |
| 17 | 2004 | 15 | |
| 18 | 2000 | 94 | |
| 19 | 2000 | 19 | |
| 20 | 1997 | 38 |
About Anna Jauch
Anna Jauch is a scholar working on Hematology, Genetics and Genetics, having authored 194 papers that have together received 7.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (52 papers), Genomic variations and chromosomal abnormalities (49 papers), Chromosomal and Genetic Variations (25 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (22 papers), Protein Degradation and Inhibitors (21 papers), Chronic Lymphocytic Leukemia Research (16 papers), Cancer Genomics and Diagnostics (16 papers) and Acute Myeloid Leukemia Research (16 papers). The work is most often cited by research in Hematology (1.8k citations), Molecular Biology (5.2k citations) and Genetics (789 citations). Anna Jauch has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Thomas Cremer, Heidi Holtgreve-Grez, Hartmut Goldschmidt, Jan Karlseder, Dirk Hose, Johannes Wienberg, Roscoe Stanyon, Anthony D. Ho, Anja Seckinger and Martin Granzow. Their work appears in journals such as Blood, International Journal of Cancer, Haematologica, Human Genetics and Genes Chromosomes and Cancer.
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.