Teklab Gebregiworgis
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 4
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- Protein Kinase Regulation and GTPase Signaling 9
- PI3K/AKT/mTOR signaling in cancer 4
- Biochemical and Molecular Research 3
- Glycosylation and Glycoproteins Research 2
- Protein Tyrosine Phosphatases 2
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- Cellular transport and secretion 2
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- Immune responses and vaccinations 2
- Co-authors
- Robert PowersVinee PurohitNina V. ChaikaPankaj K. SinghPrakash RadhakrishnanKamiya MehlaVenugopal GundaSurendra K. Shukla
- Journals
- Journal of Proteome Research (2 papers)Journal of Molecular Biology (2 papers)Journal of the American Chemical Society (1 paper)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Teklab Gebregiworgis
20 papers receiving 784 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 237
- Molecular Biology 564
- Physiology 168
- Oncology 160
- Cell Biology 71
Countries citing papers authored by Teklab Gebregiworgis
This map shows the geographic impact of Teklab Gebregiworgis'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 Teklab Gebregiworgis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teklab Gebregiworgis more than expected).
Fields of papers citing papers by Teklab Gebregiworgis
This network shows the impact of papers produced by Teklab Gebregiworgis. 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 Teklab Gebregiworgis. The network helps show where Teklab Gebregiworgis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Teklab Gebregiworgis, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 1 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 21 | |
| 9 | 2021 | 25 | |
| 10 | 2020 | 11 | |
| 11 | 2020 | 23 | |
| 12 | 2019 | 79 | |
| 13 | 2018 | 27 | |
| 14 | 2018 | 9 | |
| 15 | 2018 | 1 | |
| 16 | 2017 | 30 | |
| 17 | 2016 | 47 | |
| 18 | 2014 | 188 | |
| 19 | 2012 | 107 | |
| 20 | 2012 | 188 |
About Teklab Gebregiworgis
Teklab Gebregiworgis is a scholar working on Cancer Research, Molecular Biology and Cell Biology, having authored 20 papers that have together received 792 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (9 papers), Cancer, Hypoxia, and Metabolism (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Biochemical and Molecular Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Protein Tyrosine Phosphatases (2 papers), Immune responses and vaccinations (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Cancer Research (237 citations), Molecular Biology (564 citations) and Physiology (168 citations). Teklab Gebregiworgis has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Robert Powers, Vinee Purohit, Nina V. Chaika, Pankaj K. Singh, Prakash Radhakrishnan, Kamiya Mehla, Venugopal Gunda, Surendra K. Shukla, Mitsuhiko Ikura and Christopher B. Marshall. Their work appears in journals such as Journal of Proteome Research, Journal of Molecular Biology, Journal of the American Chemical Society, Journal of Biomolecular NMR and Journal of Thoracic Oncology.
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.