Boris Sadkhin
Impact in
- Pharmacology top 10%
- Microbial Natural Products and Biosynthesis
-
- Genomics and Phylogenetic Studies
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
- Enzyme Catalysis and Immobilization
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 2
- Bioinformatics and Genomic Networks 2
- Photosynthetic Processes and Mechanisms 1
- Protein Structure and Dynamics 1
- Machine Learning in Bioinformatics 1
-
- Plant nutrient uptake and metabolism 1
- Plant Molecular Biology Research 1
- Co-authors
- K.L. Whalen (2 shared papers)J.A. Gerlt (2 shared papers)H.J. Imker (1 shared paper)Jason T. Bouvier (1 shared paper)Brian P. Dilkes (1 shared paper)Ivan Baxter (1 shared paper)Edgar P. Spalding (1 shared paper)Nathan D. Miller (1 shared paper)
- Journals
- Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)Proceedings of the National Academy of Sciences (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Boris Sadkhin
3 papers receiving 652 citations
Boris Sadkhin's Hit Papers
Peers
Comparison fields: 5 of 88
- Pharmacology 142
- Molecular Biology 471
- Biochemistry 49
- Biotechnology 54
- Molecular Medicine 24
Countries citing papers authored by Boris Sadkhin
This map shows the geographic impact of Boris Sadkhin'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 Boris Sadkhin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boris Sadkhin more than expected).
Fields of papers citing papers by Boris Sadkhin
This network shows the impact of papers produced by Boris Sadkhin. 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 Boris Sadkhin. The network helps show where Boris Sadkhin may publish in the future.
Co-authors
The 14 scholars most cited alongside Boris Sadkhin, 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 | Enzyme Function Initiative-Enzyme Similarity Tool (EFI-EST): A web tool for generating protein sequence similarity networks Hit paper breakdown → | 2015 | 648 |
| 2 | 2022 | 4 | |
| 3 | 2015 | 3 |
About Boris Sadkhin
Boris Sadkhin is a scholar working on Molecular Biology, Plant Science, Infectious Diseases, Organic Chemistry and Surgery, having authored 3 papers that have together received 655 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (2 papers), Bioinformatics and Genomic Networks (2 papers), Photosynthetic Processes and Mechanisms (1 paper), Protein Structure and Dynamics (1 paper), Machine Learning in Bioinformatics (1 paper), Plant nutrient uptake and metabolism (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Pharmacology (142 citations), Molecular Biology (471 citations), Biochemistry (49 citations), Biotechnology (54 citations) and Molecular Medicine (24 citations). Boris Sadkhin has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include K.L. Whalen, J.A. Gerlt, H.J. Imker, Jason T. Bouvier, Brian P. Dilkes, Ivan Baxter, Edgar P. Spalding, Nathan D. Miller, Il‐Youp Kwak and Fernando A. Rabanal. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Proceedings of the National Academy of Sciences and The FASEB Journal.
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.