Michael Selitrennik
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
-
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Lipid Membrane Structure and Behavior
- Fungal and yeast genetics research
- Genomics and Chromatin Dynamics
Papers in
-
- RNA Research and Splicing 5
- RNA modifications and cancer 3
- Lipid Membrane Structure and Behavior 2
- RNA and protein synthesis mechanisms 2
- Protein Kinase Regulation and GTPase Signaling 2
-
- Cancer-related molecular mechanisms research 2
- Co-authors
- Sima Lev (7 shared papers)Omer Keinan (4 shared papers)Rona Lotan (2 shared papers)Mordechai Choder (4 shared papers)Amir Kedan (4 shared papers)Thomas Karn (3 shared papers)SoHui Kim (3 shared papers)Nancy Gavert (2 shared papers)
In The Last Decade
Michael Selitrennik
13 papers receiving 484 citations
Peers
Comparison fields: 5 of 59
- Cell Biology 120
- Molecular Biology 365
- Sensory Systems 21
- Cancer Research 63
- Immunology and Allergy 23
Countries citing papers authored by Michael Selitrennik
This map shows the geographic impact of Michael Selitrennik'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 Michael Selitrennik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Selitrennik more than expected).
Fields of papers citing papers by Michael Selitrennik
This network shows the impact of papers produced by Michael Selitrennik. 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 Michael Selitrennik. The network helps show where Michael Selitrennik may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Selitrennik, 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 | 2013 | 107 | |
| 2 | 2008 | 98 | |
| 3 | 2015 | 63 | |
| 4 | 2016 | 61 | |
| 5 | 2006 | 46 | |
| 6 | 2014 | 30 | |
| 7 | 2015 | 30 | |
| 8 | 2021 | 22 | |
| 9 | 2016 | 17 | |
| 10 | 2015 | 7 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2013 | 1 |
About Michael Selitrennik
Michael Selitrennik is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Oncology and Immunology and Allergy, having authored 13 papers that have together received 486 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA modifications and cancer (3 papers), Lipid Membrane Structure and Behavior (2 papers), RNA and protein synthesis mechanisms (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cell Adhesion Molecules Research (2 papers), Cancer-related molecular mechanisms research (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Cell Biology (120 citations), Molecular Biology (365 citations), Sensory Systems (21 citations), Cancer Research (63 citations) and Immunology and Allergy (23 citations). Michael Selitrennik has collaborated with scholars based in Israel, Germany and Spain. Frequent co-authors include Sima Lev, Omer Keinan, Rona Lotan, Mordechai Choder, Amir Kedan, Thomas Karn, SoHui Kim, Nancy Gavert, Nandini Verma and Gal Haimovich. Their work appears in journals such as eLife, Cancer Research, Genes & Development, Nature Communications and Journal of Cell Science.
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.