Tamar Geiger
Impact in
- Spectroscopy top 0.1%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 0.5%
- Metabolomics and Mass Spectrometry Studies
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Ubiquitin and proteasome pathways
- RNA Research and Splicing
- Mitochondrial Function and Pathology
Papers in
- Spectroscopy 34
- Advanced Proteomics Techniques and Applications 33
- Mass Spectrometry Techniques and Applications 15
-
- Cancer, Hypoxia, and Metabolism 7
- Co-authors
- Matthias MannStefka TyanovaJürgen CoxPavel SinitcynMarco Y. HeinJüergen CoxJacek R. WiśniewskiChristoph Schaab
- Journals
- Molecular & Cellular Proteomics (9 papers)Cancer Research (5 papers)Proceedings of the National Academy of Sciences (5 papers)Nature Methods (4 papers)Nature Communications (3 papers)
- Partner nations
- IsraelGermanyUnited States
In The Last Decade
Tamar Geiger
99 papers receiving 12.7k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Spectroscopy 2.7k
- Molecular Biology 8.9k
- Cell Biology 1.6k
- Cancer Research 1.4k
- Aging 96
Countries citing papers authored by Tamar Geiger
This map shows the geographic impact of Tamar Geiger'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 Tamar Geiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamar Geiger more than expected).
Fields of papers citing papers by Tamar Geiger
This network shows the impact of papers produced by Tamar Geiger. 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 Tamar Geiger. The network helps show where Tamar Geiger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tamar Geiger, 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 | 2025 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 11 | |
| 6 | 2021 | 22 | |
| 7 | 2021 | 14 | |
| 8 | 2020 | 26 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 81 | |
| 11 | 2020 | 36 | |
| 12 | 2020 | 38 | |
| 13 | 2019 | 7 | |
| 14 | 2019 | 10 | |
| 15 | 2018 | 60 | |
| 16 | 2018 | 66 | |
| 17 | 2016 | 268 | |
| 18 | 2015 | 140 | |
| 19 | 2012 | 107 | |
| 20 | 2012 | 115 |
About Tamar Geiger
Tamar Geiger is a scholar working on Spectroscopy, Cancer Research, Molecular Biology, Cell Biology and Oncology, having authored 100 papers that have together received 12.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (33 papers), Mass Spectrometry Techniques and Applications (15 papers), RNA and protein synthesis mechanisms (14 papers), RNA Research and Splicing (13 papers), RNA modifications and cancer (9 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Bioinformatics and Genomic Networks (7 papers). The work is most often cited by research in Spectroscopy (2.7k citations), Molecular Biology (8.9k citations), Cell Biology (1.6k citations), Cancer Research (1.4k citations) and Aging (96 citations). Tamar Geiger has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Matthias Mann, Stefka Tyanova, Jürgen Cox, Pavel Sinitcyn, Marco Y. Hein, Jüergen Cox, Jacek R. Wiśniewski, Christoph Schaab, Nagarjuna Nagaraj and Martin Kircher. Their work appears in journals such as Molecular & Cellular Proteomics, Cancer Research, Proceedings of the National Academy of Sciences, Nature Methods and Nature Communications.
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.