Jason E. Heindl
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
Papers in
-
- Protist diversity and phylogeny 3
- Bacterial biofilms and quorum sensing 2
- Photosynthetic Processes and Mechanisms 2
- Genetics 3
- Bacterial Genetics and Biotechnology 3
- Co-authors
- Clay Fuqua (6 shared papers)Marcia B. Goldberg (3 shared papers)Yi Wang (1 shared paper)Jinwoo Kim (1 shared paper)Andrew N. Gray (1 shared paper)Cammie F. Lesser (1 shared paper)Jennifer K. Wagner (1 shared paper)Sumita Jain (1 shared paper)
- Journals
- Journal of Bacteriology (3 papers)PLoS ONE (2 papers)Infection and Immunity (1 paper)Microbiology (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Jason E. Heindl
15 papers receiving 386 citations
Peers
Comparison fields: 5 of 63
- Endocrinology 87
- Molecular Medicine 26
- Genetics 119
- Biotechnology 34
- Ecology 98
Countries citing papers authored by Jason E. Heindl
This map shows the geographic impact of Jason E. Heindl'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 Jason E. Heindl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason E. Heindl more than expected).
Fields of papers citing papers by Jason E. Heindl
This network shows the impact of papers produced by Jason E. Heindl. 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 Jason E. Heindl. The network helps show where Jason E. Heindl may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason E. Heindl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 99 | |
| 2 | 2008 | 56 | |
| 3 | 2009 | 53 | |
| 4 | 2013 | 51 | |
| 5 | 2013 | 35 | |
| 6 | 2015 | 25 | |
| 7 | 2016 | 24 | |
| 8 | 2014 | 15 | |
| 9 | 2020 | 10 | |
| 10 | 2019 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 1 |
About Jason E. Heindl
Jason E. Heindl is a scholar working on Molecular Biology, Genetics, Plant Science, Infectious Diseases and Organic Chemistry, having authored 15 papers that have together received 392 indexed citations. Recurring topics across this work include Protist diversity and phylogeny (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers), Bacterial Genetics and Biotechnology (3 papers), Escherichia coli research studies (2 papers), Bacterial biofilms and quorum sensing (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Microbial Community Ecology and Physiology (2 papers) and Plant Pathogenic Bacteria Studies (1 paper). The work is most often cited by research in Endocrinology (87 citations), Molecular Medicine (26 citations), Genetics (119 citations), Biotechnology (34 citations) and Ecology (98 citations). Jason E. Heindl has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Clay Fuqua, Marcia B. Goldberg, Yi Wang, Jinwoo Kim, Andrew N. Gray, Cammie F. Lesser, Jennifer K. Wagner, Sumita Jain, Russell T. Hill and Ramya Natarajan. Their work appears in journals such as Journal of Bacteriology, PLoS ONE, Infection and Immunity, Microbiology and Bioorganic & Medicinal Chemistry Letters.
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.