Teklab Gebregiworgis

1.8k total citations
20 papers, 792 citations indexed

About

Teklab Gebregiworgis is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Teklab Gebregiworgis has authored 20 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Teklab Gebregiworgis's work include Protein Kinase Regulation and GTPase Signaling (9 papers), Cancer, Hypoxia, and Metabolism (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Teklab Gebregiworgis is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (9 papers), Cancer, Hypoxia, and Metabolism (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Teklab Gebregiworgis collaborates with scholars based in Canada, United States and Japan. Teklab Gebregiworgis's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Teklab Gebregiworgis

20 papers receiving 784 citations

Peers

Teklab Gebregiworgis
Eun Wie Cho South Korea
Huizhen Zhao United States
Sukjoon Yoon South Korea
Prachi Bajpai United States
Palak R. Parekh United States
Melinda M. Mulvihill United States
Hong-Duck Um South Korea
Eun Wie Cho South Korea
Teklab Gebregiworgis
Citations per year, relative to Teklab Gebregiworgis Teklab Gebregiworgis (= 1×) peers Eun Wie Cho

Countries citing papers authored by Teklab Gebregiworgis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Teklab Gebregiworgis

This figure shows the co-authorship network connecting the top 25 collaborators of Teklab Gebregiworgis. A scholar is included among the top collaborators of Teklab Gebregiworgis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Teklab Gebregiworgis. Teklab Gebregiworgis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zinniel, Denise K., et al.. (2025). Metabolic Reprogramming in Response to Freund’s Adjuvants: Insights from Serum Metabolomics. Microorganisms. 13(3). 492–492. 2 indexed citations
2.
Kim, Haneul, Geneviève M. C. Gasmi-Seabrook, Akira Uchida, et al.. (2025). Switch II Pocket Inhibitor Allosterically Freezes KRASG12D Nucleotide-binding Site and Arrests the GTPase Cycle. Journal of Molecular Biology. 437(14). 169162–169162. 1 indexed citations
3.
Seravalli, Javier, Denise K. Zinniel, Indranil Mukhopadhyay, et al.. (2025). Immunization with Complete Freund’s Adjuvant Reveals Trained Immunity-like Features in A/J Mice. Vaccines. 13(7). 768–768. 1 indexed citations
4.
Hawboldt, Kelly, et al.. (2024). Alkaline subcritical water extraction of bioactive compounds and antioxidants from beach-cast brown algae (Ascophyllum Nodosum). Chemical Engineering Journal. 494. 153109–153109. 14 indexed citations
5.
Gebregiworgis, Teklab, et al.. (2024). Crystal structure of NRAS Q61K with a ligand-induced pocket near switch II. European Journal of Cell Biology. 103(2). 151414–151414. 1 indexed citations
6.
Johnson, Christian W., Hyuk‐Soo Seo, Elizabeth M. Terrell, et al.. (2022). Regulation of GTPase function by autophosphorylation. Molecular Cell. 82(5). 950–968.e14. 11 indexed citations
7.
Gebregiworgis, Teklab, Geneviève M. C. Gasmi-Seabrook, D.A. Kuntz, et al.. (2022). Structures of RGL1 RAS-Association Domain in Complex with KRAS and the Oncogenic G12V Mutant. Journal of Molecular Biology. 434(9). 167527–167527. 6 indexed citations
8.
Huo, Ku-Geng, Hirotsugu Notsuda, Zhenhao Fang, et al.. (2021). Lung Cancer Driven by BRAFG469V Mutation Is Targetable by EGFR Kinase Inhibitors. Journal of Thoracic Oncology. 17(2). 277–288. 21 indexed citations
9.
Lee, Kiyoung, Masahiro Enomoto, Teklab Gebregiworgis, et al.. (2021). Oncogenic KRAS G12D mutation promotes dimerization through a second, phosphatidylserine–dependent interface: a model for KRAS oligomerization. Chemical Science. 12(38). 12827–12837. 25 indexed citations
10.
Marshall, Christopher B., Teklab Gebregiworgis, Ki‐Young Lee, et al.. (2020). NMR in integrated biophysical drug discovery for RAS: past, present, and future. Journal of Biomolecular NMR. 74(10-11). 531–554. 11 indexed citations
11.
Enomoto, Masahiro, Ki‐Young Lee, Teklab Gebregiworgis, et al.. (2020). Calmodulin disrupts plasma membrane localization of farnesylated KRAS4b by sequestering its lipid moiety. Science Signaling. 13(625). 23 indexed citations
12.
Kano, Yoshihito, Teklab Gebregiworgis, Christopher B. Marshall, et al.. (2019). Tyrosyl phosphorylation of KRAS stalls GTPase cycle via alteration of switch I and II conformation. Nature Communications. 10(1). 224–224. 79 indexed citations
13.
Gebregiworgis, Teklab, Fatema Bhinderwala, Vinee Purohit, et al.. (2018). Insights into gemcitabine resistance and the potential for therapeutic monitoring. Metabolomics. 14(12). 156–156. 27 indexed citations
14.
Gebregiworgis, Teklab, Christopher B. Marshall, Tadateru Nishikawa, et al.. (2018). Multiplexed Real-Time NMR GTPase Assay for Simultaneous Monitoring of Multiple Guanine Nucleotide Exchange Factor Activities from Human Cancer Cells and Organoids. Journal of the American Chemical Society. 140(13). 4473–4476. 9 indexed citations
15.
Gebregiworgis, Teklab, Christopher B. Marshall, Yoshihito Kano, et al.. (2018). Abstract 4360: Altering the regulation of KRAS GTPase cycle via Src and SHP2 creates a potential therapeutic vulnerability for pancreatic cancer. Cancer Research. 78(13_Supplement). 4360–4360. 1 indexed citations
16.
Gebregiworgis, Teklab, Vinee Purohit, Surendra K. Shukla, et al.. (2017). Glucose Limitation Alters Glutamine Metabolism in MUC1-Overexpressing Pancreatic Cancer Cells. Journal of Proteome Research. 16(10). 3536–3546. 30 indexed citations
17.
Gebregiworgis, Teklab, Helle Hvilsted Nielsen, Chandirasegaran Massilamany, et al.. (2016). A Urinary Metabolic Signature for Multiple Sclerosis and Neuromyelitis Optica. Journal of Proteome Research. 15(2). 659–666. 47 indexed citations
18.
Shukla, Surendra K., Teklab Gebregiworgis, Vinee Purohit, et al.. (2014). Metabolic reprogramming induced by ketone bodies diminishes pancreatic cancer cachexia. Cancer & Metabolism. 2(1). 18–18. 188 indexed citations
19.
Gebregiworgis, Teklab & Robert Powers. (2012). Application of NMR Metabolomics to Search for Human Disease Biomarkers. Combinatorial Chemistry & High Throughput Screening. 15(8). 595–610. 107 indexed citations
20.
Chaika, Nina V., Teklab Gebregiworgis, Michelle E. Lewallen, et al.. (2012). MUC1 mucin stabilizes and activates hypoxia-inducible factor 1 alpha to regulate metabolism in pancreatic cancer. Proceedings of the National Academy of Sciences. 109(34). 13787–13792. 188 indexed citations

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.

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