Rosemary Paschke
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders 6
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism 2
- Biochemistry top 5%
- Molecular Biology top 10%
- Biochemical and Molecular Research 3
- Microbial Metabolic Engineering and Bioproduction 3
- Enzyme Catalysis and Immobilization 2
- Metabolomics and Mass Spectrometry Studies 1
- Transplantation top 10%
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- Enzyme Structure and Function 3
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- Computational Drug Discovery Methods 2
- Co-authors
- Ming WangJung-Ja P. KimBettie Sue Siler MastersThomas M. SheaDavid L. RobertsJung‐Ja P. KimMei WangPaul A. Hubbard
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (3 papers)Biochemistry (4 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Rosemary Paschke
10 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Clinical Biochemistry 328
- Pharmacology 344
- Biochemistry 143
- Molecular Biology 979
- Transplantation 36
Countries citing papers authored by Rosemary Paschke
This map shows the geographic impact of Rosemary Paschke'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 Rosemary Paschke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosemary Paschke more than expected).
Fields of papers citing papers by Rosemary Paschke
This network shows the impact of papers produced by Rosemary Paschke. 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 Rosemary Paschke. The network helps show where Rosemary Paschke may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Rosemary Paschke, 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 | 2004 | 70 | |
| 2 | 2002 | 72 | |
| 3 | 2001 | 111 | |
| 4 | 2001 | 184 | |
| 5 | Three-dimensional structure of NADPH–cytochrome P450 reductase: Prototype for FMN- and FAD-containing enzymesbreakdown → | 1997 | 622 |
| 6 | 1997 | 91 | |
| 7 | 1996 | 62 | |
| 8 | 1994 | 36 | |
| 9 | 1993 | 218 | |
| 10 | The three dimensional structure of acyl-CoA dehydrogenases. | 1992 | 3 |
About Rosemary Paschke
Rosemary Paschke is a scholar working on Clinical Biochemistry, Developmental Neuroscience and Pharmacology, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (6 papers), Biochemical and Molecular Research (3 papers), Enzyme Structure and Function (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Enzyme Catalysis and Immobilization (2 papers), Computational Drug Discovery Methods (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Clinical Biochemistry (328 citations), Pharmacology (344 citations) and Biochemistry (143 citations). Rosemary Paschke has collaborated with scholars based in United States and Germany. Frequent co-authors include Ming Wang, Jung-Ja P. Kim, Bettie Sue Siler Masters, Thomas M. Shea, David L. Roberts, Jung‐Ja P. Kim, Mei Wang, Paul A. Hubbard, Anna L. Shen and Charles B. Kasper. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.
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.