Philip A. Ropp
Impact in
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
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- Mitochondrial Function and Pathology
- DNA Repair Mechanisms
- ATP Synthase and ATPases Research
- CRISPR and Genetic Engineering
- Protein purification and stability
- RNA and protein synthesis mechanisms
Papers in
-
- DNA Repair Mechanisms 4
- RNA and protein synthesis mechanisms 4
- Protein purification and stability 2
- Molecular Biology Techniques and Applications 2
- Glycosylation and Glycoproteins Research 1
- Viral Infectious Diseases and Gene Expression in Insects 1
- Co-authors
- William C. Copeland (4 shared papers)Matthew J. Longley (1 shared paper)Susan E. Lim (1 shared paper)Farida S. Sharief (1 shared paper)Patrick J. Vojta (1 shared paper)Sun‐Hee Leem (1 shared paper)Akio Sugino (1 shared paper)Michael V. Murray (2 shared papers)
- Journals
- Genomics (2 papers)Journal of Chromatography B (2 papers)Nucleic Acids Research (1 paper)Gene (1 paper)Analytical Biochemistry (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Philip A. Ropp
9 papers receiving 608 citations
Peers
Comparison fields: 5 of 70
- Clinical Biochemistry 160
- Molecular Biology 563
- Virology 19
- Cancer Research 45
- Cellular and Molecular Neuroscience 35
Countries citing papers authored by Philip A. Ropp
This map shows the geographic impact of Philip A. Ropp'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 Philip A. Ropp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip A. Ropp more than expected).
Fields of papers citing papers by Philip A. Ropp
This network shows the impact of papers produced by Philip A. Ropp. 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 Philip A. Ropp. The network helps show where Philip A. Ropp may publish in the future.
Co-authors
The 15 scholars most cited alongside Philip A. Ropp, 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 | 1996 | 223 | |
| 2 | 1998 | 145 | |
| 3 | 1999 | 102 | |
| 4 | 1994 | 51 | |
| 5 | 2015 | 37 | |
| 6 | 2004 | 29 | |
| 7 | 1995 | 21 | |
| 8 | 2004 | 13 | |
| 9 | 1990 | 13 |
About Philip A. Ropp
Philip A. Ropp is a scholar working on Molecular Biology, Organic Chemistry, Genetics, Biotechnology and Biochemistry, having authored 9 papers that have together received 634 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), RNA and protein synthesis mechanisms (4 papers), Protein purification and stability (2 papers), Molecular Biology Techniques and Applications (2 papers), Chromatography in Natural Products (1 paper), Glycosylation and Glycoproteins Research (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Clinical Biochemistry (160 citations), Molecular Biology (563 citations), Virology (19 citations), Cancer Research (45 citations) and Cellular and Molecular Neuroscience (35 citations). Philip A. Ropp has collaborated with scholars based in United States and Japan. Frequent co-authors include William C. Copeland, Matthew J. Longley, Susan E. Lim, Farida S. Sharief, Patrick J. Vojta, Sun‐Hee Leem, Akio Sugino, Michael V. Murray, Christie E. Williams and Pi‐Wan Cheng. Their work appears in journals such as Genomics, Journal of Chromatography B, Nucleic Acids Research, Gene and Analytical 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.