Verena Lang
Impact in
- Physiology top 5%
- Alzheimer's disease research and treatments
- Calcium signaling and nucleotide metabolism
- Epidemiology top 5%
- Autophagy in Disease and Therapy
Papers in
-
- Single-cell and spatial transcriptomics 1
- Developmental Biology and Gene Regulation 1
-
- Soil and Unsaturated Flow 4
- Co-authors
- Anne Hamacher‐Brady (3 shared papers)Nathan Brady (3 shared papers)Ivan Đikić (2 shared papers)Ivana Novak (2 shared papers)Roland Eils (1 shared paper)Marco Terenzio (1 shared paper)Yanyan Zhu (1 shared paper)Michael Ronellenfitsch (1 shared paper)
- Journals
- Scientific Reports (2 papers)Molecular Cancer Research (1 paper)Applied Sciences (1 paper)Soil Science (1 paper)Alzheimer s Research & Therapy (1 paper)
- Partner nations
- GermanyCroatiaUnited Kingdom
In The Last Decade
Verena Lang
13 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 98
- Physiology 81
- Epidemiology 584
- Geriatrics and Gerontology 54
- Neurology 72
- Molecular Biology 577
Countries citing papers authored by Verena Lang
This map shows the geographic impact of Verena 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 Verena Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Verena Lang more than expected).
Fields of papers citing papers by Verena Lang
This network shows the impact of papers produced by Verena 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 Verena Lang. The network helps show where Verena Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Verena 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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 376 | |
| 2 | 2017 | 234 | |
| 3 | 2010 | 163 | |
| 4 | 2019 | 90 | |
| 5 | 1992 | 58 | |
| 6 | 2019 | 34 | |
| 7 | 2016 | 27 | |
| 8 | 2014 | 18 | |
| 9 | 2020 | 12 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2019 | 3 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 0 |
About Verena Lang
Verena Lang is a scholar working on Molecular Biology, Civil and Structural Engineering, Epidemiology, Soil Science and Global and Planetary Change, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Soil and Unsaturated Flow (4 papers), Autophagy in Disease and Therapy (4 papers), Soil Carbon and Nitrogen Dynamics (3 papers), Groundwater flow and contamination studies (2 papers), Single-cell and spatial transcriptomics (1 paper), CO2 Sequestration and Geologic Interactions (1 paper), Developmental Biology and Gene Regulation (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Physiology (81 citations), Epidemiology (584 citations), Geriatrics and Gerontology (54 citations), Neurology (72 citations) and Molecular Biology (577 citations). Verena Lang has collaborated with scholars based in Germany, Croatia and United Kingdom. Frequent co-authors include Anne Hamacher‐Brady, Nathan Brady, Ivan Đikić, Ivana Novak, Roland Eils, Marco Terenzio, Yanyan Zhu, Michael Ronellenfitsch, Volker Seifert and Donat Kögel. Their work appears in journals such as Scientific Reports, Molecular Cancer Research, Applied Sciences, Soil Science and Alzheimer s Research & Therapy.
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.