Susannah Gal
Impact in
- Biotechnology top 1%
- Enzyme Production and Characterization
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
-
- Advanced biosensing and bioanalysis techniques 10
- DNA and Biological Computing 9
- Plant tissue culture and regeneration 6
- Epigenetics and DNA Methylation 5
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- Enzyme Production and Characterization 9
- Co-authors
- M M Gottesman (6 shared papers)M M Gottesman (3 shared papers)Barbara Höhn (6 shared papers)Natasha V. Raikhel (5 shared papers)Asuman Mutlu (4 shared papers)Peter Swoboda (3 shared papers)Robert W. Mason (2 shared papers)Holger Puchta (2 shared papers)
- Journals
- Biochemical Journal (7 papers)Molecular and Cellular Biology (4 papers)Plant Molecular Biology (2 papers)The Journal of Cell Biology (2 papers)Cancer Biology & Therapy (2 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Susannah Gal
65 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 108
- Biotechnology 349
- Cell Biology 418
- Cancer Research 344
- Molecular Biology 1.6k
- Plant Science 703
Countries citing papers authored by Susannah Gal
This map shows the geographic impact of Susannah Gal'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 Susannah Gal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susannah Gal more than expected).
Fields of papers citing papers by Susannah Gal
This network shows the impact of papers produced by Susannah Gal. 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 Susannah Gal. The network helps show where Susannah Gal may publish in the future.
Co-authors
The 25 scholars most cited alongside Susannah Gal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 172 | |
| 2 | 1987 | 164 | |
| 3 | 1986 | 144 | |
| 4 | 1999 | 121 | |
| 5 | 1994 | 113 | |
| 6 | 1988 | 97 | |
| 7 | 1993 | 94 | |
| 8 | 1985 | 86 | |
| 9 | 1995 | 86 | |
| 10 | 1999 | 79 | |
| 11 | 1995 | 74 | |
| 12 | 2005 | 72 | |
| 13 | 1987 | 69 | |
| 14 | 1986 | 63 | |
| 15 | 1992 | 62 | |
| 16 | 1991 | 53 | |
| 17 | 1988 | 49 | |
| 18 | 1988 | 41 | |
| 19 | 2010 | 40 | |
| 20 | 1985 | 40 |
About Susannah Gal
Susannah Gal is a scholar working on Molecular Biology, Biotechnology, Plant Science, Oncology and Cancer Research, having authored 65 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (10 papers), Enzyme Production and Characterization (9 papers), DNA and Biological Computing (9 papers), Cancer-related Molecular Pathways (6 papers), Plant tissue culture and regeneration (6 papers), Epigenetics and DNA Methylation (5 papers), Phytase and its Applications (5 papers) and Modular Robots and Swarm Intelligence (5 papers). The work is most often cited by research in Biotechnology (349 citations), Cell Biology (418 citations), Cancer Research (344 citations), Molecular Biology (1.6k citations) and Plant Science (703 citations). Susannah Gal has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include M M Gottesman, M M Gottesman, Barbara Höhn, Natasha V. Raikhel, Asuman Mutlu, Peter Swoboda, Robert W. Mason, Holger Puchta, Michael M. Gottesman and Carlos Faro. Their work appears in journals such as Biochemical Journal, Molecular and Cellular Biology, Plant Molecular Biology, The Journal of Cell Biology and Cancer Biology & Therapy.
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.