David M. Bonner
- Molecular Biology top 2%
- Genetics top 1%
- Materials Chemistry top 10%
- Ecology top 5%
- Biochemistry top 1%
- Co-authors
- Henry J. VogelCharles YanofskyB BachmannWilliam B. JakobySigmund R. SuskindChris PartridgeJ A DeMossYoshitaka Suyama
- Topics
- Enzyme function and inhibition (9 papers)Polyamine Metabolism and Applications (6 papers)Tryptophan and brain disorders (4 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
David M. Bonner
53 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 3.6k
- Genetics 1.2k
- Materials Chemistry 589
- Ecology 477
- Biochemistry 459
Countries citing papers authored by David M. Bonner
This map shows the geographic impact of David M. Bonner'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 David M. Bonner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Bonner more than expected).
Fields of papers citing papers by David M. Bonner
This network shows the impact of papers produced by David M. Bonner. 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 David M. Bonner. The network helps show where David M. Bonner may publish in the future.
Co-authorship network of co-authors of David M. Bonner
This figure shows the co-authorship network connecting the top 25 collaborators of David M. Bonner. A scholar is included among the top collaborators of David M. Bonner 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 David M. Bonner. David M. Bonner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Selling Folk Music: An Illustrated History | 0 |
| 2 | Parents’ influence on adolescent children’ media-multitasking attitudes and behaviors | 2 |
| 3 | 4 | |
| 4 | 2 | |
| 5 | Apple pie: an unusual vehicle for food poisoning. | 4 |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | Genetic fine structure and enzyme formation. | 21 |
| 11 | 19 | |
| 12 | 31 | |
| 13 | 10 | |
| 14 | 20 | |
| 15 | 5 | |
| 16 | 20 | |
| 17 | 52 | |
| 18 | 20 | |
| 19 | 30 | |
| 20 | 5 |
About David M. Bonner
David M. Bonner is a scholar working on Biological Psychiatry, Biochemistry and Toxicology, having authored 57 papers that have together received 4.7k indexed citations. Recurring topics across this work include Enzyme function and inhibition (9 papers), Polyamine Metabolism and Applications (6 papers) and Tryptophan and brain disorders (4 papers). The work is most often cited by research in Biochemistry (459 citations), Molecular Biology (3.6k citations) and Molecular Medicine (243 citations). David M. Bonner has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Henry J. Vogel, Charles Yanofsky, B Bachmann, William B. Jakoby, Sigmund R. Suskind, Chris Partridge, J A DeMoss, Yoshitaka Suyama, Herbert M. Schulman and Gabriel Lester. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.