Barry R. Bochner
- Molecular Biology top 2%
- Genetics top 1%
- Ecology top 2%
- Plant Science top 5%
- Endocrinology top 1%
- Co-authors
- B N AmesHui‐Chuan HuangBruce N. AmesXiang-He LeiLu ZhouBarry L. WannerMichael L. KeyGregory C. Gray
- Topics
- Bacterial Genetics and Biotechnology (8 papers)Genomics and Phylogenetic Studies (4 papers)Microbial Metabolic Engineering and Bioproduction (4 papers)
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
Barry R. Bochner
34 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 2.9k
- Genetics 1.3k
- Ecology 698
- Plant Science 464
- Endocrinology 367
Countries citing papers authored by Barry R. Bochner
This map shows the geographic impact of Barry R. Bochner'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 Barry R. Bochner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barry R. Bochner more than expected).
Fields of papers citing papers by Barry R. Bochner
This network shows the impact of papers produced by Barry R. Bochner. 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 Barry R. Bochner. The network helps show where Barry R. Bochner may publish in the future.
Co-authorship network of co-authors of Barry R. Bochner
This figure shows the co-authorship network connecting the top 25 collaborators of Barry R. Bochner. A scholar is included among the top collaborators of Barry R. Bochner 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 Barry R. Bochner. Barry R. Bochner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 17 | |
| 3 | 130 | |
| 4 | 46 | |
| 5 | 32 | |
| 6 | 36 | |
| 7 | 306 | |
| 8 | 178 | |
| 9 | Phenotype MicroArrays for High-Throughput Phenotypic Testing and Assay of Gene Functionbreakdown → | 518 |
| 10 | 35 | |
| 11 | "Breathprints" at the microbial level | 136 |
| 12 | 194 | |
| 13 | 137 | |
| 14 | 38 | |
| 15 | 11 | |
| 16 | Curing bacterial cells of lysogenic viruses by using ucb indicator plates | 35 |
| 17 | 329 | |
| 18 | Positive selection for loss of tetracycline resistancebreakdown → | 644 |
| 19 | 4 | |
| 20 | 201 |
About Barry R. Bochner
Barry R. Bochner is a scholar working on Genetics, Endocrinology and Molecular Biology, having authored 34 papers that have together received 4.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), Genomics and Phylogenetic Studies (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). The work is most often cited by research in Endocrinology (367 citations), Molecular Medicine (280 citations) and Genetics (1.3k citations). Barry R. Bochner has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include B N Ames, Hui‐Chuan Huang, Bruce N. Ames, Xiang-He Lei, Lu Zhou, Barry L. Wanner, Michael L. Key, Gregory C. Gray, Herbert L. Heyneker and Chung Nan Chang. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.