Valentin Zulkower

598 citations
10 papers · 319 · h-index 8

Impact in

Papers in

    • Gene Regulatory Network Analysis 6
    • Genetics, Bioinformatics, and Biomedical Research 4
    • Microbial Metabolic Engineering and Bioproduction 4
    • RNA and protein synthesis mechanisms 2
    • CRISPR and Genetic Engineering 2
    • Advanced biosensing and bioanalysis techniques 1
    • Bacterial Genetics and Biotechnology 2

Valentin Zulkower

10 papers receiving 313 citations

Peers

Valentin Zulkower
Comparison fields: 5 of 63
  • Renewable Energy, Sustainability and the Environment 65
  • Molecular Biology 254
  • Ecology 75
  • Molecular Medicine 13
  • Endocrinology 9
Replace Nathan I Johns with:
Nathan I Johns United States
Reiko Yu Japan
Lev Shaket United States
R.C. Murphy United States
Lore Cloots Belgium
Kieran B. Pechter United States
T.L. Buhr United States
Xiaoxian Wu China
Luis Gerardo Treviño-Quintanilla Mexico
Christel Garcia France
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Citations per field
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Citations per year

Countries citing papers authored by Valentin Zulkower

Since Specialization
Citations

This map shows the geographic impact of Valentin Zulkower'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 Valentin Zulkower with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentin Zulkower more than expected).

Fields of papers citing papers by Valentin Zulkower

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valentin Zulkower. 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 Valentin Zulkower. The network helps show where Valentin Zulkower may publish in the future.

Co-authors

The 25 scholars most cited alongside Valentin Zulkower, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Valentin Zulkower Line = papers co-authored together Valentin Zulkower links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2019119
2 202087
3 202034
4 202225
5 201714
6 201512
7 20219
8 20179
9 20215
10 20205

About Valentin Zulkower

Valentin Zulkower is a scholar working on Molecular Biology, Genetics, Ecology, Information Systems and Management and Computational Theory and Mathematics, having authored 10 papers that have together received 319 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (6 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), RNA and protein synthesis mechanisms (2 papers), Bacterial Genetics and Biotechnology (2 papers), CRISPR and Genetic Engineering (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Algal biology and biofuel production (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (65 citations), Molecular Biology (254 citations), Ecology (75 citations), Molecular Medicine (13 citations) and Endocrinology (9 citations). Valentin Zulkower has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Susan J. Rosser, Michael D. Gillespie, Alistair J. McCormick, Konstantinos Vavitsas, David J. Lea‐Smith, Baojun Wang, Christopher J. Howe, Ravendran Vasudevan, Neil Swainston and Pablo Carbonell. Their work appears in journals such as Bioinformatics, ACS Synthetic Biology, PLANT PHYSIOLOGY, Nature Communications and National University of Singapore.

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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