Sven Lang
Impact in
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Structural Biology top 5%
Papers in
-
- RNA and protein synthesis mechanisms 10
- RNA regulation and disease 7
- RNA Interference and Gene Delivery 4
- RNA modifications and cancer 4
- Cell Biology 25
- Endoplasmic Reticulum Stress and Disease 24
- Cellular transport and secretion 10
- Co-authors
- Richard Zimmermann (32 shared papers)Volkhard Helms (17 shared papers)Adolfo Cavalié (12 shared papers)Friedrich Förster (11 shared papers)Stefan Pfeffer (6 shared papers)Johanna Dudek (12 shared papers)Stefan Schorr (9 shared papers)Martin Jung (15 shared papers)
- Journals
- The EMBO Journal (4 papers)International Journal of Molecular Sciences (4 papers)Journal of Cell Science (3 papers)Nature Communications (3 papers)Channels (2 papers)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Sven Lang
41 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 96
- Cell Biology 679
- Structural Biology 48
- Molecular Biology 925
- Aging 22
- Physiology 46
Countries citing papers authored by Sven Lang
This map shows the geographic impact of Sven 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 Sven Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Lang more than expected).
Fields of papers citing papers by Sven Lang
This network shows the impact of papers produced by Sven 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 Sven Lang. The network helps show where Sven Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sven 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
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 141 | |
| 2 | 2012 | 125 | |
| 3 | 2014 | 121 | |
| 4 | 2017 | 118 | |
| 5 | 2010 | 91 | |
| 6 | 2012 | 75 | |
| 7 | 2015 | 71 | |
| 8 | 2011 | 69 | |
| 9 | 2018 | 67 | |
| 10 | 2018 | 56 | |
| 11 | 2012 | 53 | |
| 12 | 2020 | 41 | |
| 13 | 2019 | 39 | |
| 14 | 2011 | 37 | |
| 15 | 2013 | 31 | |
| 16 | 2021 | 28 | |
| 17 | 2019 | 25 | |
| 18 | 2009 | 19 | |
| 19 | 2019 | 18 | |
| 20 | 2022 | 17 |
About Sven Lang
Sven Lang is a scholar working on Molecular Biology, Cell Biology, Genetics, Nephrology and Ecology, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (24 papers), Cellular transport and secretion (10 papers), RNA and protein synthesis mechanisms (10 papers), Bacterial Genetics and Biotechnology (7 papers), RNA regulation and disease (7 papers), RNA Interference and Gene Delivery (4 papers), RNA modifications and cancer (4 papers) and Calcium signaling and nucleotide metabolism (3 papers). The work is most often cited by research in Cell Biology (679 citations), Structural Biology (48 citations), Molecular Biology (925 citations), Aging (22 citations) and Physiology (46 citations). Sven Lang has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Richard Zimmermann, Volkhard Helms, Adolfo Cavalié, Friedrich Förster, Stefan Pfeffer, Johanna Dudek, Stefan Schorr, Martin Jung, Duy Nguyen and Nico Schäuble. Their work appears in journals such as The EMBO Journal, International Journal of Molecular Sciences, Journal of Cell Science, Nature Communications and Channels.
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.