Vlada B. Urlacher
- Pharmacology top 0.05%
- Pharmacogenetics and Drug Metabolism 72
- Inorganic Chemistry top 1%
- Metal-Catalyzed Oxygenation Mechanisms 18
- Biotechnology top 0.5%
- Molecular Biology top 2%
- Enzyme Catalysis and Immobilization 29
- Microbial Metabolic Engineering and Bioproduction 22
- Steroid Chemistry and Biochemistry 19
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism 72
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- Enzyme-mediated dye degradation 28
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- Computational Drug Discovery Methods 16
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- Analytical Chemistry and Chromatography 13
- Co-authors
- Marco GirhardRolf D. SchmidRita BernhardtSabine EibenKatja KoschorreckJürgen PleissSteffen MaurerSabine Laschat
- Journals
- Angewandte Chemie International Edition (1 paper)SHILAP Revista de lepidopterología (4 papers)PLoS ONE (2 papers)
- Partner nations
- GermanyNetherlandsChina
In The Last Decade
Vlada B. Urlacher
139 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Pharmacology 2.4k
- Inorganic Chemistry 1.1k
- Biotechnology 654
- Molecular Biology 3.3k
- Pharmacology 683
Countries citing papers authored by Vlada B. Urlacher
This map shows the geographic impact of Vlada B. Urlacher'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 Vlada B. Urlacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vlada B. Urlacher more than expected).
Fields of papers citing papers by Vlada B. Urlacher
This network shows the impact of papers produced by Vlada B. Urlacher. 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 Vlada B. Urlacher. The network helps show where Vlada B. Urlacher may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vlada B. Urlacher, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 23 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 10 | |
| 9 | 2020 | 3 | |
| 10 | 2019 | 12 | |
| 11 | 2018 | 35 | |
| 12 | 2017 | 4 | |
| 13 | 2017 | 19 | |
| 14 | 2014 | 60 | |
| 15 | 2008 | 193 | |
| 16 | Modern biooxidation : enzymes, reactions and applications | 2007 | 56 |
| 17 | 2007 | 44 | |
| 18 | 2006 | 71 | |
| 19 | 2005 | 75 | |
| 20 | 2005 | 25 |
About Vlada B. Urlacher
Vlada B. Urlacher is a scholar working on Pharmacology, Biotechnology and Inorganic Chemistry, having authored 140 papers that have together received 5.7k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (72 papers), Enzyme Catalysis and Immobilization (29 papers), Enzyme-mediated dye degradation (28 papers), Microbial Metabolic Engineering and Bioproduction (22 papers), Steroid Chemistry and Biochemistry (19 papers), Metal-Catalyzed Oxygenation Mechanisms (18 papers), Computational Drug Discovery Methods (16 papers) and Analytical Chemistry and Chromatography (13 papers). The work is most often cited by research in Pharmacology (2.4k citations), Inorganic Chemistry (1.1k citations) and Biotechnology (654 citations). Vlada B. Urlacher has collaborated with scholars based in Germany, Netherlands and China. Frequent co-authors include Marco Girhard, Rolf D. Schmid, Rita Bernhardt, Sabine Eiben, Katja Koschorreck, Jürgen Pleiss, Steffen Maurer, Sabine Laschat, Sven M. Richter and Sabine Lutz‐Wahl. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and PLoS ONE.
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.