Gary M. Studnicka
Impact in
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- DNA and Nucleic Acid Chemistry
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- Bacterial Genetics and Biotechnology
Papers in
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- RNA and protein synthesis mechanisms 5
- Protein purification and stability 4
- DNA and Nucleic Acid Chemistry 3
- Genetics 4
- Bacterial Genetics and Biotechnology 4
- Co-authors
- Winston Salser (3 shared papers)Gary V. Paddock (2 shared papers)Alvin Liu (1 shared paper)Frederick A. Eiserling (1 shared paper)James A. Lake (1 shared paper)Robert E. Williams (1 shared paper)Rossana Nadell (1 shared paper)Marc Better (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)Computer applications in the biosciences (3 papers)Gene (2 papers)Protein Engineering Design and Selection (1 paper)Biochemical Journal (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Gary M. Studnicka
13 papers receiving 408 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 397
- Genetics 75
- Ecology 55
- Radiology, Nuclear Medicine and Imaging 40
- Endocrinology 7
Countries citing papers authored by Gary M. Studnicka
This map shows the geographic impact of Gary M. Studnicka'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 Gary M. Studnicka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary M. Studnicka more than expected).
Fields of papers citing papers by Gary M. Studnicka
This network shows the impact of papers produced by Gary M. Studnicka. 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 Gary M. Studnicka. The network helps show where Gary M. Studnicka may publish in the future.
Co-authors
The 20 scholars most cited alongside Gary M. Studnicka, 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 | 1978 | 151 | |
| 2 | 1978 | 112 | |
| 3 | 1981 | 73 | |
| 4 | 1994 | 40 | |
| 5 | 1987 | 18 | |
| 6 | 1985 | 16 | |
| 7 | 1987 | 11 | |
| 8 | 1977 | 11 | |
| 9 | 1988 | 6 | |
| 10 | 1986 | 5 | |
| 11 | 1991 | 5 | |
| 12 | 1988 | 5 | |
| 13 | 1986 | 4 |
About Gary M. Studnicka
Gary M. Studnicka is a scholar working on Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging, Materials Chemistry and Surgery, having authored 13 papers that have together received 457 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Protein purification and stability (4 papers), Bacterial Genetics and Biotechnology (4 papers), DNA and Nucleic Acid Chemistry (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Enzyme Structure and Function (2 papers), Pancreatic function and diabetes (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Molecular Biology (397 citations), Genetics (75 citations), Ecology (55 citations), Radiology, Nuclear Medicine and Imaging (40 citations) and Endocrinology (7 citations). Gary M. Studnicka has collaborated with scholars based in United States and Australia. Frequent co-authors include Winston Salser, Gary V. Paddock, Alvin Liu, Frederick A. Eiserling, James A. Lake, Robert E. Williams, Rossana Nadell, Marc Better, Arnold H. Horwitz and Hun-Chi Lin. Their work appears in journals such as Nucleic Acids Research, Computer applications in the biosciences, Gene, Protein Engineering Design and Selection and Biochemical 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.