Anna Laddach
Impact in
- Gastroenterology top 10%
- Gastrointestinal motility and disorders
Papers in
-
- Single-cell and spatial transcriptomics 3
- Bioinformatics and Genomic Networks 2
- Pluripotent Stem Cells Research 2
- Surgery 3
- Congenital gastrointestinal and neural anomalies 2
- Pancreatic function and diabetes 1
- Co-authors
- Franca Fraternali (6 shared papers)Mathias Gautel (1 shared paper)Fränze Progatzky (2 shared papers)Ana Carina Bon‐Frauches (2 shared papers)Stefan Boeing (2 shared papers)Michael Shapiro (3 shared papers)Reena Lasrado (2 shared papers)Vassilis Pachnis (3 shared papers)
- Journals
- Cell Reports (2 papers)PLoS Biology (1 paper)Nature Communications (1 paper)NAR Genomics and Bioinformatics (1 paper)Stem Cell Reports (1 paper)
- Partner nations
- United KingdomSingaporeNetherlands
In The Last Decade
Anna Laddach
8 papers receiving 236 citations
Peers
Comparison fields: 5 of 57
- Gastroenterology 56
- Developmental Neuroscience 11
- Surgery 75
- Molecular Biology 108
- Neurology 12
Countries citing papers authored by Anna Laddach
This map shows the geographic impact of Anna Laddach'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 Laddach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Laddach more than expected).
Fields of papers citing papers by Anna Laddach
This network shows the impact of papers produced by Anna Laddach. 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 Laddach. The network helps show where Anna Laddach may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Laddach, 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 | 2021 | 103 | |
| 2 | 2017 | 29 | |
| 3 | 2023 | 28 | |
| 4 | 2019 | 27 | |
| 5 | 2022 | 19 | |
| 6 | 2018 | 12 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 7 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 0 |
About Anna Laddach
Anna Laddach is a scholar working on Molecular Biology, Surgery, Genetics, Cardiology and Cardiovascular Medicine and Computational Theory and Mathematics, having authored 10 papers that have together received 236 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Congenital gastrointestinal and neural anomalies (2 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Rare Diseases (2 papers), Pluripotent Stem Cells Research (2 papers), Electrochemical sensors and biosensors (1 paper), Cell Image Analysis Techniques (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Gastroenterology (56 citations), Developmental Neuroscience (11 citations), Surgery (75 citations), Molecular Biology (108 citations) and Neurology (12 citations). Anna Laddach has collaborated with scholars based in United Kingdom, Singapore and Netherlands. Frequent co-authors include Franca Fraternali, Mathias Gautel, Fränze Progatzky, Ana Carina Bon‐Frauches, Stefan Boeing, Michael Shapiro, Reena Lasrado, Vassilis Pachnis, Song Hui Chng and Joseph Ng. Their work appears in journals such as Cell Reports, PLoS Biology, Nature Communications, NAR Genomics and Bioinformatics and Stem Cell Reports.
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.