Eva Kiesler
Impact in
-
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
-
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 4
- Nuclear Structure and Function 2
- Genomics and Chromatin Dynamics 2
- Advanced biosensing and bioanalysis techniques 1
- RNA modifications and cancer 1
- Peroxisome Proliferator-Activated Receptors 1
- Retinoids in leukemia and cellular processes 1
- Co-authors
- Neus Visa (5 shared papers)Francesc Miralles (2 shared papers)Ying‐Ting Chen (1 shared paper)N. Sakabe (1 shared paper)Robert Lorenz Chua (1 shared paper)S. L. White (1 shared paper)Lloyd J. Old (1 shared paper)Tzeela Cohen (1 shared paper)
- Journals
- The Journal of Cell Biology (1 paper)Biotechnology and Applied Biochemistry (1 paper)Progress in molecular and subcellular biology (1 paper)Nucleic Acids Research (1 paper)Current Biology (1 paper)
- Partner nations
- SwedenSwitzerlandUnited States
In The Last Decade
Eva Kiesler
7 papers receiving 502 citations
Peers
Comparison fields: 5 of 64
- Immunology 202
- Endocrine and Autonomic Systems 41
- Aging 10
- Molecular Biology 340
- Oncology 110
Countries citing papers authored by Eva Kiesler
This map shows the geographic impact of Eva Kiesler'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 Eva Kiesler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Kiesler more than expected).
Fields of papers citing papers by Eva Kiesler
This network shows the impact of papers produced by Eva Kiesler. 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 Eva Kiesler. The network helps show where Eva Kiesler may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Kiesler, 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 | 2008 | 293 | |
| 2 | 2000 | 99 | |
| 3 | 2002 | 55 | |
| 4 | 2005 | 30 | |
| 5 | 2003 | 19 | |
| 6 | 2003 | 9 | |
| 7 | 2007 | 8 |
About Eva Kiesler
Eva Kiesler is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Spectroscopy, Immunology and Infectious Diseases, having authored 7 papers that have together received 513 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (4 papers), Nuclear Structure and Function (2 papers), Genomics and Chromatin Dynamics (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), RNA modifications and cancer (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper) and Retinoids in leukemia and cellular processes (1 paper). The work is most often cited by research in Immunology (202 citations), Endocrine and Autonomic Systems (41 citations), Aging (10 citations), Molecular Biology (340 citations) and Oncology (110 citations). Eva Kiesler has collaborated with scholars based in Sweden, Switzerland and United States. Frequent co-authors include Neus Visa, Francesc Miralles, Ying‐Ting Chen, N. Sakabe, Robert Lorenz Chua, S. L. White, Lloyd J. Old, Tzeela Cohen, Andrew J.G. Simpson and Shanti Gurung. Their work appears in journals such as The Journal of Cell Biology, Biotechnology and Applied Biochemistry, Progress in molecular and subcellular biology, Nucleic Acids Research and Current Biology.
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.