Andrei Gabrielian
Impact in
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
- Molecular Biology top 5%
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Genomics and Chromatin Dynamics
- Gene Regulatory Network Analysis
- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
- Biochemical and Structural Characterization
Papers in
-
- Antimicrobial Peptides and Activities 6
-
- Tuberculosis Research and Epidemiology 14
- Co-authors
- David LandsmanTyra G. WolfsbergMichael J. CampbellRaymond J. ChoLars M. SteinmetzElizabeth A. WinzelerRonald W. DavisLisa Wodicka
- Journals
- FEBS Letters (4 papers)PLoS ONE (3 papers)Nature Communications (2 papers)Nucleic Acids Research (2 papers)Big Data (1 paper)
- Partner nations
- United StatesBelarusGeorgia
In The Last Decade
Andrei Gabrielian
39 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Microbiology 519
- Molecular Biology 2.4k
- Infectious Diseases 219
- Health Informatics 14
- Genetics 237
Countries citing papers authored by Andrei Gabrielian
This map shows the geographic impact of Andrei Gabrielian'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 Andrei Gabrielian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrei Gabrielian more than expected).
Fields of papers citing papers by Andrei Gabrielian
This network shows the impact of papers produced by Andrei Gabrielian. 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 Andrei Gabrielian. The network helps show where Andrei Gabrielian may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrei Gabrielian, 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 | 2024 | 4 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 26 | |
| 8 | 2021 | 11 | |
| 9 | DBAASP v3: database of antimicrobial/cytotoxic activity and structure of peptides as a resource for development of new therapeutics Hit paper breakdown → | 2020 | 390 |
| 10 | 2020 | 5 | |
| 11 | ImageCLEF 2018: Lesion-based TB-descriptor for CT Image Analysis. | 2018 | 4 |
| 12 | 2018 | 42 | |
| 13 | 2018 | 48 | |
| 14 | 2013 | 9 | |
| 15 | 2005 | 23 | |
| 16 | 1999 | 7 | |
| 17 | 1997 | 33 | |
| 18 | 1996 | 1 | |
| 19 | 1996 | 17 | |
| 20 | 1994 | 10 |
About Andrei Gabrielian
Andrei Gabrielian is a scholar working on Microbiology, Infectious Diseases, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 40 papers that have together received 2.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (14 papers), RNA and protein synthesis mechanisms (10 papers), COVID-19 diagnosis using AI (7 papers), Mycobacterium research and diagnosis (6 papers), Diagnosis and treatment of tuberculosis (6 papers), Antimicrobial Peptides and Activities (6 papers), Bacteriophages and microbial interactions (5 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Microbiology (519 citations), Molecular Biology (2.4k citations), Infectious Diseases (219 citations), Health Informatics (14 citations) and Genetics (237 citations). Andrei Gabrielian has collaborated with scholars based in United States, Belarus and Georgia. Frequent co-authors include David Landsman, Tyra G. Wolfsberg, Michael J. Campbell, Raymond J. Cho, Lars M. Steinmetz, Elizabeth A. Winzeler, Ronald W. Davis, Lisa Wodicka, David J. Lockhart and Andrew Conway. Their work appears in journals such as FEBS Letters, PLoS ONE, Nature Communications, Nucleic Acids Research and Big Data.
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.