Mark I. Donnelly
- Molecular Biology top 5%
- Materials Chemistry
- Genetics top 10%
- Biomedical Engineering
- Biochemistry top 5%
- Co-authors
- Lucy StolsF. CollartMinyi GuLynda DieckmanCynthia Sanville MillardRosemarie RaffenWilliam H. EschenfeldtDavid P. Clark
- Topics
- Microbial Metabolic Engineering and Bioproduction (9 papers)Bacterial Genetics and Biotechnology (6 papers)Amino Acid Enzymes and Metabolism (4 papers)
- Journals
- Applied and Environmental MicrobiologyBiochemistryBiochemical and Biophysical Research Communications
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Mark I. Donnelly
26 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.4k
- Materials Chemistry 320
- Genetics 291
- Biomedical Engineering 216
- Biochemistry 131
Countries citing papers authored by Mark I. Donnelly
This map shows the geographic impact of Mark I. Donnelly'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 I. Donnelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark I. Donnelly more than expected).
Fields of papers citing papers by Mark I. Donnelly
This network shows the impact of papers produced by Mark I. Donnelly. 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 I. Donnelly. The network helps show where Mark I. Donnelly may publish in the future.
Co-authorship network of co-authors of Mark I. Donnelly
This figure shows the co-authorship network connecting the top 25 collaborators of Mark I. Donnelly. A scholar is included among the top collaborators of Mark I. Donnelly based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark I. Donnelly. Mark I. Donnelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Method to produce succinic acid from raw hydrolysates | 1 |
| 2 | Mutant E. coli strain with increased succinic acid production | 2 |
| 3 | 1 | |
| 4 | 48 | |
| 5 | 34 | |
| 6 | 38 | |
| 7 | 154 | |
| 8 | 32 | |
| 9 | 38 | |
| 10 | 42 | |
| 11 | 126 | |
| 12 | 466 | |
| 13 | 16 | |
| 14 | 85 | |
| 15 | 32 | |
| 16 | 73 | |
| 17 | 2 | |
| 18 | 19 | |
| 19 | 42 | |
| 20 | 64 |
About Mark I. Donnelly
Mark I. Donnelly is a scholar working on Biochemistry, Molecular Biology and Clinical Biochemistry, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (9 papers), Bacterial Genetics and Biotechnology (6 papers) and Amino Acid Enzymes and Metabolism (4 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Biochemistry (131 citations) and Endocrinology (60 citations). Mark I. Donnelly has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Lucy Stols, F. Collart, Minyi Gu, Lynda Dieckman, Cynthia Sanville Millard, Rosemarie Raffen, William H. Eschenfeldt, David P. Clark, Ranjini Chatterjee and Kathleen M. Champion. Their work appears in journals such as Applied and Environmental Microbiology, Biochemistry and Biochemical and Biophysical Research Communications.
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.