Grant M. Wood
- Genetics
- Health Information Management top 5%
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Artificial Intelligence
- Co-authors
- Marc S. WilliamsJyotishman PathakMin HeChristopher G. ChuteSimon LinMollie Ullman-CulleréPeter J. HaugJoyce A. Mitchell
- Topics
- Electronic Health Records Systems (5 papers)Biomedical Text Mining and Ontologies (4 papers)BRCA gene mutations in cancer (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Grant M. Wood
10 papers receiving 147 citations
Peers
Comparison fields: 5 of 54
- Genetics 59
- Health Information Management 51
- Molecular Biology 45
- Public Health, Environmental and Occupational Health 24
- Artificial Intelligence 22
Countries citing papers authored by Grant M. Wood
This map shows the geographic impact of Grant M. Wood'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 Grant M. Wood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grant M. Wood more than expected).
Fields of papers citing papers by Grant M. Wood
This network shows the impact of papers produced by Grant M. Wood. 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 Grant M. Wood. The network helps show where Grant M. Wood may publish in the future.
Co-authorship network of co-authors of Grant M. Wood
This figure shows the co-authorship network connecting the top 25 collaborators of Grant M. Wood. A scholar is included among the top collaborators of Grant M. Wood 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 Grant M. Wood. Grant M. Wood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | Profiling Fast Healthcare Interoperability Resources (FHIR) of Family Health History based on the Clinical Element Models. | 10 |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 58 | |
| 7 | 3 | |
| 8 | Development and early usage patterns of a consumer-facing family health history tool. | 26 |
| 9 | 10 | |
| 10 | Analysis of family health history data collection patterns in consumer-oriented Web-based tools. | 6 |
| 11 | Integrating genetic information resources with an EHR. | 21 |
| 12 | Emerging technologies in health care and the patient encounter of the future. | 0 |
| 13 | The changing role of the health care chief information officer. | 0 |
| 14 | 1 |
About Grant M. Wood
Grant M. Wood is a scholar working on Medical Terminology, Health Information Management and Family Practice, having authored 14 papers that have together received 151 indexed citations. Recurring topics across this work include Electronic Health Records Systems (5 papers), Biomedical Text Mining and Ontologies (4 papers) and BRCA gene mutations in cancer (3 papers). The work is most often cited by research in Health Information Management (51 citations), Health Informatics (10 citations) and Genetics (59 citations). Grant M. Wood has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Marc S. Williams, Jyotishman Pathak, Min He, Christopher G. Chute, Simon Lin, Mollie Ullman-Culleré, Peter J. Haug, Joyce A. Mitchell, Roberto A. Rocha and Guilherme Del Fiol. Their work appears in journals such as Genetics in Medicine, Otolaryngology and Journal of Biomedical Informatics.
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.