David T. Liss

2.7k total citations
70 papers, 1.8k citations indexed

About

David T. Liss is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, David T. Liss has authored 70 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in General Health Professions, 18 papers in Public Health, Environmental and Occupational Health and 16 papers in Epidemiology. Recurrent topics in David T. Liss's work include Primary Care and Health Outcomes (20 papers), Chronic Disease Management Strategies (13 papers) and Healthcare Policy and Management (10 papers). David T. Liss is often cited by papers focused on Primary Care and Health Outcomes (20 papers), Chronic Disease Management Strategies (13 papers) and Healthcare Policy and Management (10 papers). David T. Liss collaborates with scholars based in United States, Vietnam and Israel. David T. Liss's co-authors include David W. Baker, Joseph Feinglass, Lee A. Lindquist, Kristine M. Gleason, Gary A. Noskin, Robert J. Reid, Tiffany Brown, Ronald T. Ackermann, David Liebovitz and Kevin J. O’Leary and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

David T. Liss

65 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David T. Liss United States 23 618 388 327 304 280 70 1.8k
Rajeev Chaudhry United States 26 523 0.8× 153 0.4× 197 0.6× 372 1.2× 360 1.3× 99 1.9k
Anne Frølich Denmark 26 824 1.3× 133 0.3× 171 0.5× 251 0.8× 601 2.1× 125 2.3k
Steven M. Ornstein United States 26 742 1.2× 187 0.5× 141 0.4× 364 1.2× 351 1.3× 66 1.8k
Jennifer M. Polinski United States 29 560 0.9× 278 0.7× 331 1.0× 528 1.7× 224 0.8× 72 2.6k
John G. Demakis United States 17 733 1.2× 373 1.0× 118 0.4× 315 1.0× 263 0.9× 26 3.6k
Thomas Delate United States 28 241 0.4× 455 1.2× 435 1.3× 240 0.8× 227 0.8× 153 2.8k
Jesse C. Crosson United States 27 935 1.5× 126 0.3× 164 0.5× 521 1.7× 392 1.4× 50 2.5k
Mary Reed United States 31 1.2k 2.0× 370 1.0× 82 0.3× 770 2.5× 382 1.4× 133 2.9k
Marjolein Lugtenberg Netherlands 20 608 1.0× 146 0.4× 330 1.0× 528 1.7× 351 1.3× 51 1.9k
Marina Serper United States 33 650 1.1× 446 1.1× 176 0.5× 401 1.3× 1.5k 5.4× 151 3.9k

Countries citing papers authored by David T. Liss

Since Specialization
Citations

This map shows the geographic impact of David T. Liss'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 David T. Liss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Liss more than expected).

Fields of papers citing papers by David T. Liss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David T. Liss. 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 David T. Liss. The network helps show where David T. Liss may publish in the future.

Co-authorship network of co-authors of David T. Liss

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

All Works

20 of 20 papers shown
1.
Simon, Jodi, et al.. (2025). Continuity of Care in Federally Qualified Health Centers: Examining Patient-Provider Relationships and Patient Centered Medical Home Recognition. The Journal of the American Board of Family Medicine. 38(3). 490–499.
2.
Liss, David T., et al.. (2023). Surgical interventions and outcome in a population of feline trauma patients. Journal of Veterinary Emergency and Critical Care. 33(3). 337–347. 2 indexed citations
3.
Liss, David T., et al.. (2023). Checkup Visits in Adult Federally Qualified Health Center Patients: a Retrospective Cohort Study. Journal of General Internal Medicine. 39(8). 1378–1385. 3 indexed citations
4.
Wallia, Amisha, Matthew J. O’Brien, Raymond Kang, et al.. (2023). Comparative cardiovascular effects of GLP‐1 agonists using real‐world data. Endocrinology Diabetes & Metabolism. 6(3). e339–e339. 3 indexed citations
5.
Liss, David T., et al.. (2022). Social Needs Identified by Diagnostic Codes in Privately Insured U.S. Adults. American Journal of Preventive Medicine. 63(6). 1007–1016. 8 indexed citations
6.
Liss, David T., et al.. (2021). General Health Checks in Adult Primary Care: A Review. medRxiv.
7.
Liss, David T., et al.. (2021). General Health Checks in Adult Primary Care. JAMA. 325(22). 2294–2294. 53 indexed citations
8.
Liss, David T., et al.. (2020). Development of a Smartphone App for Regional Care Coordination Among High-Risk, Low-Income Patients. Telemedicine Journal and e-Health. 26(11). 1391–1399. 6 indexed citations
9.
Liss, David T., Ronald T. Ackermann, Andrew Cooper, et al.. (2019). Effects of a Transitional Care Practice for a Vulnerable Population: a Pragmatic, Randomized Comparative Effectiveness Trial. Journal of General Internal Medicine. 34(9). 1758–1765. 27 indexed citations
10.
Liss, David T., et al.. (2018). One-year effects of a group-based lifestyle intervention in adults with type 2 diabetes: A randomized encouragement trial. Diabetes Research and Clinical Practice. 140. 36–44. 7 indexed citations
11.
Liss, David T., et al.. (2018). “The Doctor Needs to Know”: Acceptability of Smartphone Location Tracking for Care Coordination. JMIR mhealth and uhealth. 6(5). e112–e112. 6 indexed citations
12.
13.
Ruderman, Eric, Tiffany Brown, Ji Young Lee, et al.. (2016). Understanding vaccination rates and attitudes among patients with rheumatoid arthritis.. PubMed. 22(3). 161–7. 19 indexed citations
14.
Liss, David T., et al.. (2016). Diagnostic colonoscopy following a positive fecal occult blood test in community health center patients. Cancer Causes & Control. 27(7). 881–887. 25 indexed citations
15.
Keswani, Rajesh N., Andrew J. Gawron, Andrew Cooper, & David T. Liss. (2015). Procedure Delays and Time of Day Are Not Associated With Reductions in Quality of Screening Colonoscopies. Clinical Gastroenterology and Hepatology. 14(5). 723–728.e2. 5 indexed citations
16.
Liss, David T., Paul Fishman, Carolyn M. Rutter, et al.. (2014). Specialty Use Among Patients With Treated Hypertension in a Patient-Centered Medical Home. Journal of General Internal Medicine. 29(5). 732–740. 7 indexed citations
17.
Liss, David T. & David W. Baker. (2014). Understanding Current Racial/Ethnic Disparities in Colorectal Cancer Screening in the United States. American Journal of Preventive Medicine. 46(3). 228–236. 187 indexed citations
18.
Reid, Robert J., Eric A. Johnson, Chung Y. Hsu, et al.. (2013). Spreading a Medical Home Redesign: Effects on Emergency Department Use and Hospital Admissions. The Annals of Family Medicine. 11(Suppl_1). S19–S26. 35 indexed citations
19.
Liss, David T., et al.. (2008). Kent Monkman : the Triumph of Mischief. 1 indexed citations
20.
O’Leary, Kevin J., David Liebovitz, Joseph Feinglass, David T. Liss, & David W. Baker. (2006). Outpatient physicians' satisfaction with discharge summaries and perceived need for an electronic discharge summary. Journal of Hospital Medicine. 1(5). 317–320. 55 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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