Todd Lingren
- Artificial Intelligence top 5%
- Molecular Biology
- Health Information Management top 0.5%
- Public Health, Environmental and Occupational Health top 10%
- Genetics
- Co-authors
- Imre SoltiMegan KaiserQi LiYizhao NiHaijun ZhaiLouise DelégerLaura StoutenboroughJohn B. Harley
- Topics
- Electronic Health Records Systems (11 papers)Biomedical Text Mining and Ontologies (7 papers)Topic Modeling (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEInternational Journal of Obesity
- Partner nations
- United StatesHong Kong
In The Last Decade
Todd Lingren
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 415
- Molecular Biology 393
- Health Information Management 239
- Public Health, Environmental and Occupational Health 162
- Genetics 137
Countries citing papers authored by Todd Lingren
This map shows the geographic impact of Todd Lingren'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 Todd Lingren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Lingren more than expected).
Fields of papers citing papers by Todd Lingren
This network shows the impact of papers produced by Todd Lingren. 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 Todd Lingren. The network helps show where Todd Lingren may publish in the future.
Co-authorship network of co-authors of Todd Lingren
This figure shows the co-authorship network connecting the top 25 collaborators of Todd Lingren. A scholar is included among the top collaborators of Todd Lingren 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 Todd Lingren. Todd Lingren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 28 | |
| 3 | 12 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 27 | |
| 7 | 15 | |
| 8 | 88 | |
| 9 | 28 | |
| 10 | 23 | |
| 11 | 64 | |
| 12 | 65 | |
| 13 | 42 | |
| 14 | 38 | |
| 15 | 39 | |
| 16 | 26 | |
| 17 | 59 | |
| 18 | 52 | |
| 19 | 18 | |
| 20 | 59 |
About Todd Lingren
Todd Lingren is a scholar working on Health Information Management, Toxicology and Geriatrics and Gerontology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Electronic Health Records Systems (11 papers), Biomedical Text Mining and Ontologies (7 papers) and Topic Modeling (5 papers). The work is most often cited by research in Health Informatics (74 citations), Health Information Management (239 citations) and Toxicology (48 citations). Todd Lingren has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Imre Solti, Megan Kaiser, Qi Li, Yizhao Ni, Haijun Zhai, Louise Deléger, Laura Stoutenborough, John B. Harley, Eric S. Kirkendall and Keith Marsolo. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Obesity.
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.