Ben Heavner
Impact in
-
- Scientific Computing and Data Management
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 7
- Bioinformatics and Genomic Networks 6
- Gene Regulatory Network Analysis 5
- Gene expression and cancer classification 2
- Genetics, Bioinformatics, and Biomedical Research 1
-
- Biofuel production and bioconversion 3
- Co-authors
- Nathan D. Price (9 shared papers)Larry P. Walker (3 shared papers)Kieran Smallbone (2 shared papers)Pedro Mendes (1 shared paper)Carl Kesselman (4 shared papers)Kyle Chard (4 shared papers)Ravi Madduri (4 shared papers)Ian Foster (4 shared papers)
- Journals
- PLoS ONE (3 papers)PLoS Computational Biology (2 papers)The American Journal of Human Genetics (1 paper)BMC Systems Biology (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Ben Heavner
12 papers receiving 506 citations
Peers
Comparison fields: 5 of 100
- Information Systems and Management 55
- Health Informatics 8
- Health Information Management 22
- Molecular Biology 326
- Biomedical Engineering 145
Countries citing papers authored by Ben Heavner
This map shows the geographic impact of Ben Heavner'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 Ben Heavner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Heavner more than expected).
Fields of papers citing papers by Ben Heavner
This network shows the impact of papers produced by Ben Heavner. 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 Ben Heavner. The network helps show where Ben Heavner may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Heavner, 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 | 2012 | 103 | |
| 2 | 2016 | 93 | |
| 3 | 2013 | 81 | |
| 4 | 2015 | 59 | |
| 5 | 2015 | 56 | |
| 6 | 2017 | 37 | |
| 7 | 2016 | 28 | |
| 8 | 2019 | 23 | |
| 9 | 2014 | 15 | |
| 10 | 2015 | 15 | |
| 11 | 2021 | 6 | |
| 12 | 2012 | 2 | |
| 13 | 2025 | 0 |
About Ben Heavner
Ben Heavner is a scholar working on Molecular Biology, Biomedical Engineering, Information Systems, Information Systems and Management and Neurology, having authored 13 papers that have together received 518 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (7 papers), Bioinformatics and Genomic Networks (6 papers), Gene Regulatory Network Analysis (5 papers), Biofuel production and bioconversion (3 papers), Scientific Computing and Data Management (2 papers), Gene expression and cancer classification (2 papers), Research Data Management Practices (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Information Systems and Management (55 citations), Health Informatics (8 citations), Health Information Management (22 citations), Molecular Biology (326 citations) and Biomedical Engineering (145 citations). Ben Heavner has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Nathan D. Price, Larry P. Walker, Kieran Smallbone, Pedro Mendes, Carl Kesselman, Kyle Chard, Ravi Madduri, Ian Foster, Eric W. Deutsch and Ivo D. Dinov. Their work appears in journals such as PLoS ONE, PLoS Computational Biology, The American Journal of Human Genetics, BMC Systems Biology and Frontiers in Immunology.
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.