Sem Tamara
Impact in
- Spectroscopy top 2%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Analytical Chemistry and Chromatography
- Structural Biology top 10%
Papers in ⓘ
-
- Glycosylation and Glycoproteins Research 8
- Signaling Pathways in Disease 2
- Photosynthetic Processes and Mechanisms 2
-
- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Albert J. R. Heck (19 shared papers)Maurits A. den Boer (7 shared papers)Richard A. Scheltema (8 shared papers)Vojtěch Franc (3 shared papers)Alexander Makarov (2 shared papers)Kyle L. Fort (2 shared papers)Jean‐François Greisch (5 shared papers)Pascal Albanese (1 shared paper)
- Journals
- Nature Communications (3 papers)Journal of the American Society for Mass Spectrometry (2 papers)Chemical Science (2 papers)iScience (1 paper)Cellular and Molecular Immunology (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Sem Tamara
25 papers receiving 869 citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Spectroscopy 386
- Structural Biology 15
- Molecular Biology 516
- Radiology, Nuclear Medicine and Imaging 130
- Cell Biology 67
Countries citing papers authored by Sem Tamara
This map shows the geographic impact of Sem Tamara'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 Sem Tamara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sem Tamara more than expected).
Fields of papers citing papers by Sem Tamara
This network shows the impact of papers produced by Sem Tamara. 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 Sem Tamara. The network helps show where Sem Tamara may publish in the future.
Co-authors
The 25 scholars most cited alongside Sem Tamara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | High-Resolution Native Mass Spectrometry Hit paper breakdown → | 2021 | 302 |
| 2 | 2018 | 63 | |
| 3 | 2020 | 63 | |
| 4 | 2021 | 62 | |
| 5 | 2021 | 49 | |
| 6 | 2016 | 46 | |
| 7 | 2020 | 39 | |
| 8 | 2019 | 36 | |
| 9 | 2021 | 34 | |
| 10 | 2021 | 26 | |
| 11 | 2022 | 22 | |
| 12 | 2015 | 18 | |
| 13 | 2021 | 18 | |
| 14 | 2020 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2024 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2019 | 11 | |
| 20 | 2020 | 8 |
About Sem Tamara
Sem Tamara is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Spectroscopy, Cell Biology and Hematology, having authored 25 papers that have together received 883 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Mass Spectrometry Techniques and Applications (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Blood groups and transfusion (4 papers), Cellular transport and secretion (4 papers), Signaling Pathways in Disease (2 papers), Hemoglobin structure and function (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Spectroscopy (386 citations), Structural Biology (15 citations), Molecular Biology (516 citations), Radiology, Nuclear Medicine and Imaging (130 citations) and Cell Biology (67 citations). Sem Tamara has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Albert J. R. Heck, Maurits A. den Boer, Richard A. Scheltema, Vojtěch Franc, Alexander Makarov, Kyle L. Fort, Jean‐François Greisch, Pascal Albanese, Cristina Pagliano and Max Hoek. Their work appears in journals such as Nature Communications, Journal of the American Society for Mass Spectrometry, Chemical Science, iScience and Cellular and Molecular Immunology.
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.