Askale Mathias
Impact in
- Biotechnology top 5%
- Transgenic Plants and Applications
-
- Toxin Mechanisms and Immunotoxins
Papers in
-
- TGF-β signaling in diseases 3
- Bone Metabolism and Diseases 2
- Glycosylation and Glycoproteins Research 1
-
- Toxin Mechanisms and Immunotoxins 4
- Co-authors
- David M. Neville (5 shared papers)Scott Stavrou (4 shared papers)Sonia B. Jakowlew (3 shared papers)Jung Hee Woo (3 shared papers)Hyun S. Lillehoj (1 shared paper)Philip E.D. Chung (1 shared paper)Terry W. Moody (1 shared paper)Rajani Choudhuri (2 shared papers)
- Journals
- Protein Expression and Purification (2 papers)Protein Engineering Design and Selection (2 papers)Clinical Cancer Research (1 paper)Veterinary Immunology and Immunopathology (1 paper)Biology of Reproduction (1 paper)
- Partner nations
- United States
In The Last Decade
Askale Mathias
12 papers receiving 507 citations
Peers
Comparison fields: 5 of 65
- Biotechnology 123
- Immunology 169
- Radiology, Nuclear Medicine and Imaging 115
- Oncology 119
- Molecular Biology 256
Countries citing papers authored by Askale Mathias
This map shows the geographic impact of Askale Mathias'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 Askale Mathias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Askale Mathias more than expected).
Fields of papers citing papers by Askale Mathias
This network shows the impact of papers produced by Askale Mathias. 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 Askale Mathias. The network helps show where Askale Mathias may publish in the future.
Co-authors
The 25 scholars most cited alongside Askale Mathias, 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 | 2018 | 88 | |
| 2 | 2002 | 87 | |
| 3 | 2005 | 62 | |
| 4 | 2001 | 53 | |
| 5 | Expression of transforming growth factor beta ligand and receptor messenger RNAs in lung cancer cell lines. | 1995 | 51 |
| 6 | 1997 | 46 | |
| 7 | 1999 | 39 | |
| 8 | 2000 | 31 | |
| 9 | 2007 | 27 | |
| 10 | 1997 | 25 | |
| 11 | 2021 | 12 | |
| 12 | 1989 | 4 |
About Askale Mathias
Askale Mathias is a scholar working on Molecular Biology, Immunology, Biotechnology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 525 indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (4 papers), Transgenic Plants and Applications (4 papers), TGF-β signaling in diseases (3 papers), Microbial Inactivation Methods (2 papers), Bone Metabolism and Diseases (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Lung Cancer Research Studies (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Biotechnology (123 citations), Immunology (169 citations), Radiology, Nuclear Medicine and Imaging (115 citations), Oncology (119 citations) and Molecular Biology (256 citations). Askale Mathias has collaborated with scholars based in United States. Frequent co-authors include David M. Neville, Scott Stavrou, Sonia B. Jakowlew, Jung Hee Woo, Hyun S. Lillehoj, Philip E.D. Chung, Terry W. Moody, Rajani Choudhuri, Janet Gamson and Sarwat Naz. Their work appears in journals such as Protein Expression and Purification, Protein Engineering Design and Selection, Clinical Cancer Research, Veterinary Immunology and Immunopathology and Biology of Reproduction.
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.