Lincoln Sheets

2.0k total citations · 1 hit paper
40 papers, 1.3k citations indexed

About

Lincoln Sheets is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Information Systems. According to data from OpenAlex, Lincoln Sheets has authored 40 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in General Health Professions, 13 papers in Public Health, Environmental and Occupational Health and 6 papers in Information Systems. Recurrent topics in Lincoln Sheets's work include Telemedicine and Telehealth Implementation (5 papers), Primary Care and Health Outcomes (5 papers) and Health disparities and outcomes (4 papers). Lincoln Sheets is often cited by papers focused on Telemedicine and Telehealth Implementation (5 papers), Primary Care and Health Outcomes (5 papers) and Health disparities and outcomes (4 papers). Lincoln Sheets collaborates with scholars based in United States, Switzerland and Taiwan. Lincoln Sheets's co-authors include Abu Saleh Mohammad Mosa, Illhoi Yoo, Chi‐Ren Shyu, Yan Zhuang, Zon‐Yin Shae, Jeffrey J. P. Tsai, Jerry C. Parker, Jenny Bossaller, Matthew Prime and Richard Hammer and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and International Journal of Environmental Research and Public Health.

In The Last Decade

Lincoln Sheets

37 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Systematic Review of Healthcare Applications for Smartphones

2012 824 citations Abu Saleh Mohammad Mosa, Illhoi Yoo et al. BMC Medical Informatics and Decision Making profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lincoln Sheets United States	11	641	336	220	159	156	40	1.3k
Abu Saleh Mohammad Mosa United States	13	611 1.0×	209 0.6×	147 0.7×	144 0.9×	72 0.5×	51	1.2k
Edward Meinert United Kingdom	20	486 0.8×	277 0.8×	229 1.0×	331 2.1×	121 0.8×	89	1.7k
Michelle Helena van Velthoven United Kingdom	26	1.0k 1.6×	265 0.8×	250 1.1×	245 1.5×	38 0.2×	81	2.0k
Borja Martínez-Pérez Spain	10	589 0.9×	91 0.3×	111 0.5×	277 1.7×	62 0.4×	14	1.0k
Jae‐Ho Lee South Korea	22	375 0.6×	137 0.4×	178 0.8×	177 1.1×	66 0.4×	135	1.7k
Andreas Triantafyllidis Greece	18	350 0.5×	106 0.3×	153 0.7×	192 1.2×	103 0.7×	48	1.0k
Catherine Chronaki Greece	17	936 1.5×	187 0.6×	210 1.0×	108 0.7×	99 0.6×	103	2.2k
Carlos Tavares Portugal	4	462 0.7×	103 0.3×	82 0.4×	115 0.7×	72 0.5×	7	797
Sabine Koch Sweden	21	596 0.9×	140 0.4×	361 1.6×	66 0.4×	85 0.5×	136	1.8k
Chris Paton United Kingdom	21	559 0.9×	113 0.3×	250 1.1×	126 0.8×	22 0.1×	76	1.3k

Countries citing papers authored by Lincoln Sheets

Since Specialization

Citations

This map shows the geographic impact of Lincoln Sheets'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 Lincoln Sheets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lincoln Sheets more than expected).

Fields of papers citing papers by Lincoln Sheets

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lincoln Sheets. 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 Lincoln Sheets. The network helps show where Lincoln Sheets may publish in the future.

Co-authorship network of co-authors of Lincoln Sheets

This figure shows the co-authorship network connecting the top 25 collaborators of Lincoln Sheets. A scholar is included among the top collaborators of Lincoln Sheets 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 Lincoln Sheets. Lincoln Sheets is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sheets, Lincoln, et al.. (2024). Application of Machine Learning and Deep Neural Visual Features for Predicting Adult Obesity Prevalence in Missouri. International Journal of Environmental Research and Public Health. 21(11). 1534–1534. 1 indexed citations

Nguyen, Quynh C., et al.. (2024). Regional Differences in American Indian/Alaska Native Chronic Respiratory Disease Disparity: Evidence from National Survey Results. International Journal of Environmental Research and Public Health. 21(8). 1070–1070.

Sheets, Lincoln, et al.. (2024). Exploring the Geospatial Relationship Between COVID-19 Positivity and Income in Mixed Urban-Rural Population. Studies in health technology and informatics. 310. 1327–1331. 1 indexed citations

Sheets, Lincoln, et al.. (2024). Geospatial Modeling of Deep Neural Visual Features for Predicting Obesity Prevalence in Missouri: Quantitative Study. PubMed. 3. e64362–e64362.

Asombang, Akwi W., et al.. (2023). Antimicrobial resistance from a One Health perspective in Zambia: a systematic review. Antimicrobial Resistance and Infection Control. 12(1). 15–15. 8 indexed citations

Scott, Grant J., et al.. (2023). The Role of Remote Sensing and Geospatial Analysis for Understanding COVID-19 Population Severity: A Systematic Review. International Journal of Environmental Research and Public Health. 20(5). 4298–4298. 6 indexed citations

Sheets, Lincoln, et al.. (2022). Ethnic and National Differences in Congenital Adrenal Hyperplasia Incidence: A Systematic Review and Meta-Analysis. Hormone Research in Paediatrics. 96(3). 249–258. 10 indexed citations

Nguyen, Quynh C., et al.. (2021). Chronic respiratory disease disparity between American Indian/Alaska Native and white populations, 2011–2018. BMC Public Health. 21(1). 1466–1466. 14 indexed citations

Bossaller, Jenny, et al.. (2021). The impact of project ECHO on physician preparedness to treat opioid use disorder: a systematic review. Addiction Science & Clinical Practice. 16(1). 6–6. 20 indexed citations

10.

Sheets, Lincoln, et al.. (2021). Sociodemographic diversity in cancer clinical trials: New findings on the effect of race and ethnicity. Contemporary Clinical Trials Communications. 21. 100718–100718. 11 indexed citations

11.

Hammer, Richard, et al.. (2021). A digital tumor board solution impacts case discussion time and postponement of cases in tumor boards. Health and Technology. 11(3). 525–533. 7 indexed citations

12.

Zhuang, Yan, Lincoln Sheets, Yuanyuan Shen, et al.. (2020). Development of A Blockchain Framework for Virtual Clinical Trials.. PubMed. 2020. 1412–1420. 9 indexed citations

13.

Sheets, Lincoln, et al.. (2019). Urban Disadvantage, Obesity, and Underweight in 31 Lower-Income Countries. Studies in health technology and informatics. 264. 338–342. 1 indexed citations

14.

Zhuang, Yan, Lincoln Sheets, Zon‐Yin Shae, Jeffrey J. P. Tsai, & Chi‐Ren Shyu. (2018). Applying Blockchain Technology for Health Information Exchange and Persistent Monitoring for Clinical Trials.. PubMed. 2018. 1167–1175. 52 indexed citations

15.

Sheets, Lincoln, Gregory F. Petroski, Yan Zhuang, et al.. (2017). Combining Contrast Mining with Logistic Regression To Predict Healthcare Utilization in a Managed Care Population. Applied Clinical Informatics. 8(2). 430–446. 4 indexed citations

16.

Sheets, Lincoln, et al.. (2016). Identifying Patients at Risk of High Healthcare Utilization.. PubMed. 2016. 1129–1138. 5 indexed citations

17.

Callaghan, Fiona, et al.. (2013). Do Language Fluency and Other Socioeconomic Factors Influence the Use of PubMed and MedlinePlus?. Applied Clinical Informatics. 4(2). 170–184. 4 indexed citations

18.

Mosa, Abu Saleh Mohammad, Illhoi Yoo, & Lincoln Sheets. (2012). A Systematic Review of Healthcare Applications for Smartphones. BMC Medical Informatics and Decision Making. 12(1). 67–67. 824 indexed citations breakdown →

19.

Liu, Fang, et al.. (2012). Usability of Selected Databases for Low-Resource Clinical Decision Support. Applied Clinical Informatics. 3(3). 326–333. 6 indexed citations

20.

Sheets, Lincoln, et al.. (2011). Unsupported Labeling of Race as a Risk Factor for Certain Diseases in a Widely Used Medical Textbook. Academic Medicine. 86(10). 1300–1303. 11 indexed citations

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.

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