Joe Don Heath
- Molecular Biology top 10%
- Infectious Diseases top 5%
- Plant Science top 10%
- Clinical Biochemistry top 2%
- Epidemiology
- Co-authors
- George M. WeinstockKavindra V. SinghBarbara E. MurrayBrij SharmaKathryn M. StephensEugene W. NesterNurith KurnXinzhi Liang
- Topics
- Molecular Biology Techniques and Applications (4 papers)Bacterial Genetics and Biotechnology (4 papers)Plant tissue culture and regeneration (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Molecular Biology
- Partner nations
- United States
In The Last Decade
Joe Don Heath
20 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 771
- Infectious Diseases 479
- Plant Science 266
- Clinical Biochemistry 247
- Epidemiology 195
Countries citing papers authored by Joe Don Heath
This map shows the geographic impact of Joe Don Heath'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 Joe Don Heath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joe Don Heath more than expected).
Fields of papers citing papers by Joe Don Heath
This network shows the impact of papers produced by Joe Don Heath. 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 Joe Don Heath. The network helps show where Joe Don Heath may publish in the future.
Co-authorship network of co-authors of Joe Don Heath
This figure shows the co-authorship network connecting the top 25 collaborators of Joe Don Heath. A scholar is included among the top collaborators of Joe Don Heath 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 Joe Don Heath. Joe Don Heath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 13 | |
| 3 | 33 | |
| 4 | 162 | |
| 5 | 60 | |
| 6 | 22 | |
| 7 | 15 | |
| 8 | 24 | |
| 9 | 170 | |
| 10 | 44 | |
| 11 | 22 | |
| 12 | 52 | |
| 13 | 178 | |
| 14 | 16 | |
| 15 | 61 | |
| 16 | Control of chromosomal rearrangements in {\it Escherichia coli/} | 2 |
| 17 | 19 | |
| 18 | 31 | |
| 19 | Comparison of genomic DNAs of different enterococcal isolates using restriction endonucleases with infrequent recognition sitesbreakdown → | 450 |
| 20 | 78 |
About Joe Don Heath
Joe Don Heath is a scholar working on Aging, Microbiology and Molecular Biology, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (4 papers), Bacterial Genetics and Biotechnology (4 papers) and Plant tissue culture and regeneration (4 papers). The work is most often cited by research in Clinical Biochemistry (247 citations), Infectious Diseases (479 citations) and Aging (38 citations). Joe Don Heath has collaborated with scholars based in United States. Frequent co-authors include George M. Weinstock, Kavindra V. Singh, Barbara E. Murray, Brij Sharma, Kathryn M. Stephens, Eugene W. Nester, Nurith Kurn, Xinzhi Liang, Shenglong Wang and R. Paul Ross. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Molecular Biology.
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.