Andreas E. Moor
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in ⓘ
-
- Cancer Genomics and Diagnostics 5
- Immunology 10
- T-cell and B-cell Immunology 4
- Co-authors
- Shalev Itzkovitz (11 shared papers)Keren Bahar Halpern (6 shared papers)Efi E. Massasa (5 shared papers)Ido Amit (4 shared papers)Beáta Tóth (3 shared papers)Amir Giladi (2 shared papers)Eyal David (2 shared papers)Shani Ben‐Moshe (3 shared papers)
- Journals
- Nature Communications (5 papers)Nature (3 papers)iScience (2 papers)Molecular Systems Biology (2 papers)Science (2 papers)
- Partner nations
- SwitzerlandIsraelGermany
In The Last Decade
Andreas E. Moor
39 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Hepatology 354
- Cancer Research 404
- Immunology 548
- Molecular Biology 1.7k
- Biophysics 125
Countries citing papers authored by Andreas E. Moor
This map shows the geographic impact of Andreas E. Moor'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 Andreas E. Moor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas E. Moor more than expected).
Fields of papers citing papers by Andreas E. Moor
This network shows the impact of papers produced by Andreas E. Moor. 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 Andreas E. Moor. The network helps show where Andreas E. Moor may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas E. Moor, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Single-cell spatial reconstruction reveals global division of labour in the mammalian liver Hit paper breakdown → | 2017 | 685 |
| 2 | 2018 | 281 | |
| 3 | 2018 | 244 | |
| 4 | 2013 | 207 | |
| 5 | 2016 | 197 | |
| 6 | 2019 | 131 | |
| 7 | 2017 | 117 | |
| 8 | 2020 | 115 | |
| 9 | 2017 | 107 | |
| 10 | 2020 | 100 | |
| 11 | 2021 | 88 | |
| 12 | 2021 | 77 | |
| 13 | 2021 | 76 | |
| 14 | 2015 | 44 | |
| 15 | 2021 | 33 | |
| 16 | 2020 | 31 | |
| 17 | 2014 | 29 | |
| 18 | 2020 | 27 | |
| 19 | 2021 | 23 | |
| 20 | 2023 | 23 |
About Andreas E. Moor
Andreas E. Moor is a scholar working on Cancer Research, Immunology, Molecular Biology, Oncology and Genetics, having authored 39 papers that have together received 2.9k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (15 papers), Cancer Cells and Metastasis (9 papers), Wnt/β-catenin signaling in development and cancer (6 papers), RNA Research and Splicing (5 papers), Cancer Genomics and Diagnostics (5 papers), T-cell and B-cell Immunology (4 papers), RNA and protein synthesis mechanisms (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Hepatology (354 citations), Cancer Research (404 citations), Immunology (548 citations), Molecular Biology (1.7k citations) and Biophysics (125 citations). Andreas E. Moor has collaborated with scholars based in Switzerland, Israel and Germany. Frequent co-authors include Shalev Itzkovitz, Keren Bahar Halpern, Efi E. Massasa, Ido Amit, Beáta Tóth, Amir Giladi, Eyal David, Shani Ben‐Moshe, Matan Golan and Milena Rozenberg. Their work appears in journals such as Nature Communications, Nature, iScience, Molecular Systems Biology and Science.
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.