Elke Will
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Genetics top 5%
- Virus-based gene therapy research
Papers in
-
- Fungal and yeast genetics research 3
- CRISPR and Genetic Engineering 3
- RNA Interference and Gene Delivery 2
- Protein Kinase Regulation and GTPase Signaling 2
-
- Cellular transport and secretion 6
- Endoplasmic Reticulum Stress and Disease 5
- Co-authors
- Dieter Gallwitz (6 shared papers)Christopher Baum (8 shared papers)Štefan Albert (2 shared papers)David A. Williams (4 shared papers)Saurabh Chandra (2 shared papers)Axel Schambach (2 shared papers)Miki Tsukada (1 shared paper)Geoffrey P. Margison (1 shared paper)
- Journals
- The EMBO Journal (2 papers)Molecular Therapy (2 papers)Experimental Hematology (2 papers)Blood (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Elke Will
16 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 69
- Cell Biology 408
- Genetics 326
- Molecular Biology 742
- Physiology 49
- Hematology 87
Countries citing papers authored by Elke Will
This map shows the geographic impact of Elke Will'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 Elke Will with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elke Will more than expected).
Fields of papers citing papers by Elke Will
This network shows the impact of papers produced by Elke Will. 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 Elke Will. The network helps show where Elke Will may publish in the future.
Co-authors
The 25 scholars most cited alongside Elke Will, 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 | 2005 | 167 | |
| 2 | 1999 | 132 | |
| 3 | 2003 | 124 | |
| 4 | 2006 | 94 | |
| 5 | 1999 | 77 | |
| 6 | 2000 | 75 | |
| 7 | 2005 | 69 | |
| 8 | 2004 | 63 | |
| 9 | 2003 | 61 | |
| 10 | 1999 | 49 | |
| 11 | 2003 | 48 | |
| 12 | 2001 | 41 | |
| 13 | 2007 | 20 | |
| 14 | 2005 | 16 | |
| 15 | 2001 | 8 | |
| 16 | 2004 | 3 |
About Elke Will
Elke Will is a scholar working on Molecular Biology, Cell Biology, Genetics, Genetics and Oncology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Virus-based gene therapy research (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Fungal and yeast genetics research (3 papers), Mesenchymal stem cell research (3 papers), CRISPR and Genetic Engineering (3 papers), RNA Interference and Gene Delivery (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Cell Biology (408 citations), Genetics (326 citations), Molecular Biology (742 citations), Physiology (49 citations) and Hematology (87 citations). Elke Will has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Dieter Gallwitz, Christopher Baum, Štefan Albert, David A. Williams, Saurabh Chandra, Axel Schambach, Miki Tsukada, Geoffrey P. Margison, Christopher Baum and Jens Bohne. Their work appears in journals such as The EMBO Journal, Molecular Therapy, Experimental Hematology, Blood and Journal of Biological Chemistry.
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.