Jesse C. Crosson

3.4k total citations · 1 hit paper
50 papers, 2.5k citations indexed

About

Jesse C. Crosson is a scholar working on General Health Professions, Health Information Management and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jesse C. Crosson has authored 50 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in General Health Professions, 16 papers in Health Information Management and 15 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jesse C. Crosson's work include Primary Care and Health Outcomes (19 papers), Electronic Health Records Systems (15 papers) and Diabetes Management and Education (10 papers). Jesse C. Crosson is often cited by papers focused on Primary Care and Health Outcomes (19 papers), Electronic Health Records Systems (15 papers) and Diabetes Management and Education (10 papers). Jesse C. Crosson collaborates with scholars based in United States and United Kingdom. Jesse C. Crosson's co-authors include Ann S. O’Malley, Rosalind E. Keith, DeAnn Cromp, Erin Fries Taylor, Andrew J. Karter, David G. Marrero, Benjamin F. Crabtree, Deborah J. Cohen, William H. Herman and Linda D. Boyd and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Jesse C. Crosson

50 papers receiving 2.3k 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.

Using the Consolidated Framework for Implementation Research (CFIR) to produce actionable findings: a rapid-cycle evaluation approach to improving implementation

2017 432 citations Rosalind E. Keith, Jesse C. Crosson et al. Implementation Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jesse C. Crosson United States	27	935	620	521	466	392	50	2.5k
David A. Dorr United States	25	1.0k 1.1×	154 0.2×	396 0.8×	469 1.0×	535 1.4×	102	2.4k
Susan Dovey New Zealand	27	1.1k 1.2×	150 0.2×	628 1.2×	534 1.1×	306 0.8×	113	3.4k
George Bergus United States	29	926 1.0×	201 0.3×	730 1.4×	149 0.3×	254 0.6×	101	3.0k
Stephen E. Asche United States	28	1.1k 1.1×	296 0.5×	530 1.0×	190 0.4×	436 1.1×	96	2.8k
Lisa M. Kern United States	31	1.2k 1.2×	165 0.3×	415 0.8×	764 1.6×	369 0.9×	115	2.8k
David Peiris Australia	33	1.6k 1.8×	266 0.4×	713 1.4×	222 0.5×	435 1.1×	170	3.7k
Rajeev Chaudhry United States	26	523 0.6×	123 0.2×	372 0.7×	287 0.6×	360 0.9×	99	1.9k
Rohina Joshi Australia	28	782 0.8×	338 0.5×	512 1.0×	180 0.4×	382 1.0×	143	2.8k
Kerri L. Cavanaugh United States	36	2.1k 2.3×	992 1.6×	589 1.1×	86 0.2×	645 1.6×	131	4.4k
David A. Haggstrom United States	29	995 1.1×	105 0.2×	701 1.3×	482 1.0×	366 0.9×	133	2.9k

Countries citing papers authored by Jesse C. Crosson

Since Specialization

Citations

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

Fields of papers citing papers by Jesse C. Crosson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesse C. Crosson. 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 Jesse C. Crosson. The network helps show where Jesse C. Crosson may publish in the future.

Co-authorship network of co-authors of Jesse C. Crosson

This figure shows the co-authorship network connecting the top 25 collaborators of Jesse C. Crosson. A scholar is included among the top collaborators of Jesse C. Crosson 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 Jesse C. Crosson. Jesse C. Crosson 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

Zhan, Chunliu, Patrick G. O’Malley, Elisabeth Kato, et al.. (2024). A Pragmatic Approach to Identifying and Profiling Primary Care Clinicians and Primary Care Practices in the USA. Journal of General Internal Medicine. 39(11). 1962–1968. 3 indexed citations

Sabo, Roy, et al.. (2020). Low-Intensity Intervention Supports Diabetes Registry Implementation: A Cluster-Randomized Trial in the Ambulatory Care Outcomes Research Network (ACORN). The Journal of the American Board of Family Medicine. 33(5). 728–735. 1 indexed citations

Peikes, Deborah, Ann S. O’Malley, Claire Wilson, et al.. (2016). Early Experiences Engaging Patients Through Patient and Family Advisory Councils. Journal of Ambulatory Care Management. 39(4). 316–324. 16 indexed citations

Crosson, Jesse C., et al.. (2015). Using Health Information Technology to Support Quality Improvement in Primary Care. Mathematica Policy Research Reports. 7 indexed citations

Taylor, Erin Fries, Grace Anglin, Stacy Dale, et al.. (2015). Evaluation of the Comprehensive Primary Care Initiative: First Annual Report. Mathematica Policy Research Reports. 6 indexed citations

Etz, Rebecca, Rosalind E. Keith, Karen Stein, et al.. (2015). Supporting Practices to Adopt Registry-Based Care (SPARC): protocol for a randomized controlled trial. Implementation Science. 10(1). 46–46. 4 indexed citations

Asao, Keiko, Laura N. McEwen, Jesse C. Crosson, Beth E. Waitzfelder, & William H. Herman. (2014). Revisit frequency and its association with quality of care among diabetic patients: Translating Research Into Action for Diabetes (TRIAD). Journal of Diabetes and its Complications. 28(6). 811–818. 10 indexed citations

Krist, Alex H., John W. Beasley, Jesse C. Crosson, et al.. (2014). Electronic health record functionality needed to better support primary care. Journal of the American Medical Informatics Association. 21(5). 764–771. 85 indexed citations

Heintzman, John, Rachel Gold, Alex H. Krist, et al.. (2014). Practice-based Research Networks (PBRNs) Are Promising Laboratories for Conducting Dissemination and Implementation Research. The Journal of the American Board of Family Medicine. 27(6). 759–762. 31 indexed citations

10.

Moreno, Lorenzo, et al.. (2013). Using Multifactorial Experiments For Comparative Effectiveness Research in Physician Practices with Electronic Health Records. SHILAP Revista de lepidopterología. 1(3). 5–5. 3 indexed citations

11.

Crosson, Jesse C., Pamela Ohman‐Strickland, Deborah J. Cohen, Elizabeth C. Clark, & Benjamin F. Crabtree. (2012). Typical Electronic Health Record Use in Primary Care Practices and the Quality of Diabetes Care. The Annals of Family Medicine. 10(3). 221–227. 46 indexed citations

12.

McEwen, Laura N., Andrew J. Karter, Beth E. Waitzfelder, et al.. (2012). Predictors of Mortality Over 8 Years in Type 2 Diabetic Patients. Diabetes Care. 35(6). 1301–1309. 102 indexed citations

13.

Lu, Shou‐En, Gloria L. Beckles, Jesse C. Crosson, et al.. (2012). Evaluation of risk equations for prediction of short-term coronary heart disease events in patients with long-standing type 2 diabetes: the Translating Research into Action for Diabetes (TRIAD) study. BMC Endocrine Disorders. 12(1). 12–12. 13 indexed citations

14.

Ferrante, Jeanne M., Deborah J. Cohen, & Jesse C. Crosson. (2010). Translating the Patient Navigator Approach to Meet the Needs of Primary Care. The Journal of the American Board of Family Medicine. 23(6). 736–744. 76 indexed citations

15.

Crosson, Jesse C., Michele Heisler, Usha Subramanian, et al.. (2010). Physicians' Perceptions of Barriers to Cardiovascular Disease Risk Factor Control among Patients with Diabetes: Results from the Translating Research into Action for Diabetes (TRIAD) Study. The Journal of the American Board of Family Medicine. 23(2). 171–178. 43 indexed citations

16.

Bilik, Dori, Laura N. McEwen, Morton B. Brown, et al.. (2010). Thiazolidinediones and Fractures: Evidence from Translating Research into Action for Diabetes. The Journal of Clinical Endocrinology & Metabolism. 95(10). 4560–4565. 64 indexed citations

17.

Crosson, Jesse C., Pamela Ohman‐Strickland, Stephen Campbell, et al.. (2009). A comparison of chronic illness care quality in US and UK family medicine practices prior to pay-for-performance initiatives. Family Practice. 26(6). 510–516. 10 indexed citations

18.

Crosson, Jesse C., Pamela Ohman‐Strickland, Katrin Hahn, et al.. (2007). Electronic Medical Records and Diabetes Quality of Care: Results From a Sample of Family Medicine Practices. The Annals of Family Medicine. 5(3). 209–215. 82 indexed citations

19.

Crosson, Jesse C.. (2005). Implementing an Electronic Medical Record in a Family Medicine Practice: Communication, Decision Making, and Conflict. The Annals of Family Medicine. 3(4). 307–311. 72 indexed citations

20.

Brazeau, Chantal M. L. R., Linda D. Boyd, & Jesse C. Crosson. (2002). Changing an Existing OSCE to a Teaching Tool. Academic Medicine. 77(9). 932–932. 74 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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