Elke Will

982 citations
14 papers · 811 · h-index 12

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
  • Genetics top 10%
    • Virus-based gene therapy research

Papers in

    • CRISPR and Genetic Engineering 4
    • RNA Interference and Gene Delivery 2
    • Fungal and yeast genetics research 2
    • Virus-based gene therapy research 6
    • Mesenchymal stem cell research 3

Elke Will

14 papers receiving 793 citations

Peers

Elke Will
Comparison fields: 5 of 63
  • Cell Biology 224
  • Genetics 310
  • Molecular Biology 613
  • Hematology 87
  • Physiology 27
Replace Craig E. Eckfeldt with:
Craig E. Eckfeldt United States
Ann Brun Sweden
Claudia Canzonetta Italy
Jeng-Shin Lee United States
Randall K. Walker United States
Kiran Batta United Kingdom
Nabeel R. Yaseen United States
Julian Walfridsson Sweden
Colin Casimir United Kingdom
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Elke Will relative to Craig E. Eckfeldt United States Craig E. Eckfeldt's profile →
Citations per field
00.5×1.5×2.5×
Craig E. Eckfeldt · 1×
Citations per year

Countries citing papers authored by Elke Will

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Elke Will Line = papers co-authored together Elke Will links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2005164
2 2003114
3 200690
4 199974
5 200565
6 200461
7 200361
8 199948
9 200347
10 200140
11 200720
12 200516
13 20018
14 20043

About Elke Will

Elke Will is a scholar working on Molecular Biology, Genetics, Cell Biology, Genetics and Oncology, having authored 14 papers that have together received 811 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Cellular transport and secretion (4 papers), CRISPR and Genetic Engineering (4 papers), Mesenchymal stem cell research (3 papers), RNA Interference and Gene Delivery (2 papers), CAR-T cell therapy research (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Cell Biology (224 citations), Genetics (310 citations), Molecular Biology (613 citations), Hematology (87 citations) and Physiology (27 citations). Elke Will has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Dieter Gallwitz, Christopher Baum, David A. Williams, Axel Schambach, Saurabh Chandra, Miki Tsukada, Geoffrey P. Margison, Christopher Baum, Jens Bohne and Melanie Galla. Their work appears in journals such as Molecular Therapy, Journal of Biological Chemistry, Experimental Hematology, Blood and Molecular Biology of the Cell.

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.

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