Mark A. Arbing
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- CRISPR and Genetic Engineering
- Photosynthetic Processes and Mechanisms
Papers in ⓘ
- Co-authors
- Duilio Cascio (8 shared papers)Sum Chan (9 shared papers)James U. Bowie (5 shared papers)David Eisenberg (6 shared papers)L. Miallau (3 shared papers)Stanley Fields (1 shared paper)Jameson K. Rogers (1 shared paper)Alexander S. Garruss (1 shared paper)
- Journals
- Structure (4 papers)Journal of Biological Chemistry (3 papers)Protein Science (2 papers)The Journal of Membrane Biology (2 papers)Biochemistry (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Mark A. Arbing
34 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Medicine 104
- Molecular Biology 756
- Structural Biology 14
- Genetics 258
- Endocrinology 46
Countries citing papers authored by Mark A. Arbing
This map shows the geographic impact of Mark A. Arbing'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 Mark A. Arbing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Arbing more than expected).
Fields of papers citing papers by Mark A. Arbing
This network shows the impact of papers produced by Mark A. Arbing. 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 Mark A. Arbing. The network helps show where Mark A. Arbing may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark A. Arbing, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Engineering an allosteric transcription factor to respond to new ligands Hit paper breakdown → | 2015 | 253 |
| 2 | 2008 | 109 | |
| 3 | 2012 | 79 | |
| 4 | 2012 | 61 | |
| 5 | 2009 | 59 | |
| 6 | 2010 | 57 | |
| 7 | 2020 | 46 | |
| 8 | 2009 | 37 | |
| 9 | 2016 | 35 | |
| 10 | 2018 | 34 | |
| 11 | 2013 | 28 | |
| 12 | 2015 | 28 | |
| 13 | 2015 | 28 | |
| 14 | 2016 | 27 | |
| 15 | 2010 | 24 | |
| 16 | 2023 | 21 | |
| 17 | 2018 | 19 | |
| 18 | 2013 | 18 | |
| 19 | 2001 | 14 | |
| 20 | 2010 | 13 |
About Mark A. Arbing
Mark A. Arbing is a scholar working on Structural Biology, Molecular Medicine, Endocrinology, Molecular Biology and Genetics, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (9 papers), RNA and protein synthesis mechanisms (7 papers), Bacteriophages and microbial interactions (6 papers), Tuberculosis Research and Epidemiology (5 papers), Genomics and Phylogenetic Studies (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Protein Structure and Dynamics (4 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Molecular Medicine (104 citations), Molecular Biology (756 citations), Structural Biology (14 citations), Genetics (258 citations) and Endocrinology (46 citations). Mark A. Arbing has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Duilio Cascio, Sum Chan, James U. Bowie, David Eisenberg, L. Miallau, Stanley Fields, Jameson K. Rogers, Alexander S. Garruss, Noah D. Taylor and Sriram Kosuri. Their work appears in journals such as Structure, Journal of Biological Chemistry, Protein Science, The Journal of Membrane Biology 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.