Christina Lachance
- General Health Professions top 5%
- Genetics top 10%
- Public Health, Environmental and Occupational Health
- Sociology and Political Science top 10%
- Health top 10%
- Co-authors
- Kimberly A. KaphingstJewel D. StaffordMelody S. GoodmanVincent C. AllenBritt Rios‐EllisChintan PandyaSato AshidaLori A.H. Erby
- Topics
- BRCA gene mutations in cancer (6 papers)Health Literacy and Information Accessibility (6 papers)Nutrition, Genetics, and Disease (4 papers)
- Partner nations
- United States
In The Last Decade
Christina Lachance
21 papers receiving 608 citations
Peers
Comparison fields: 5 of 97
- General Health Professions 210
- Genetics 209
- Public Health, Environmental and Occupational Health 136
- Sociology and Political Science 126
- Health 57
Countries citing papers authored by Christina Lachance
This map shows the geographic impact of Christina Lachance'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 Christina Lachance with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Lachance more than expected).
Fields of papers citing papers by Christina Lachance
This network shows the impact of papers produced by Christina Lachance. 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 Christina Lachance. The network helps show where Christina Lachance may publish in the future.
Co-authorship network of co-authors of Christina Lachance
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Lachance. A scholar is included among the top collaborators of Christina Lachance 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 Christina Lachance. Christina Lachance is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 16 | |
| 3 | 27 | |
| 4 | 28 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 32 | |
| 8 | 20 | |
| 9 | 25 | |
| 10 | Relationship between perceived racial composition and health literacy among community health center patients | 1 |
| 11 | 30 | |
| 12 | 46 | |
| 13 | 13 | |
| 14 | 82 | |
| 15 | 89 | |
| 16 | 34 | |
| 17 | 14 | |
| 18 | 43 | |
| 19 | 29 | |
| 20 | 31 |
About Christina Lachance
Christina Lachance is a scholar working on Health, General Health Professions and Genetics, having authored 21 papers that have together received 627 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (6 papers), Health Literacy and Information Accessibility (6 papers) and Nutrition, Genetics, and Disease (4 papers). The work is most often cited by research in General Health Professions (210 citations), Genetics (209 citations) and Health (57 citations). Christina Lachance has collaborated with scholars based in United States. Frequent co-authors include Kimberly A. Kaphingst, Jewel D. Stafford, Melody S. Goodman, Vincent C. Allen, Britt Rios‐Ellis, Chintan Pandya, Sato Ashida, Lori A.H. Erby, Beth Ford and Susan Persky. Their work appears in journals such as American Journal of Public Health, American Journal of Preventive Medicine and Health Psychology.
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.