Patrick F. Pace

605 total citations
20 papers, 475 citations indexed

About

Patrick F. Pace is a scholar working on Plant Science, Family Practice and Geriatrics and Gerontology. According to data from OpenAlex, Patrick F. Pace has authored 20 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 8 papers in Family Practice and 6 papers in Geriatrics and Gerontology. Recurrent topics in Patrick F. Pace's work include Medication Adherence and Compliance (8 papers), Pharmaceutical Practices and Patient Outcomes (6 papers) and Soybean genetics and cultivation (3 papers). Patrick F. Pace is often cited by papers focused on Medication Adherence and Compliance (8 papers), Pharmaceutical Practices and Patient Outcomes (6 papers) and Soybean genetics and cultivation (3 papers). Patrick F. Pace collaborates with scholars based in United States, China and Argentina. Patrick F. Pace's co-authors include Benjamin F. Banahan, Stephen O. Duke, Agnes M. Rimando, Krishna N. Reddy, Reid J. Smeda, Yi Yang, Noel E. Wilkin, David Weaver, Harry T. Cralle and Scott A. Senseman and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of General Internal Medicine and Crop Science.

In The Last Decade

Patrick F. Pace

20 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick F. Pace United States 10 254 136 81 79 57 20 475
Sreeja Sudhakaran India 13 315 1.2× 50 0.4× 20 0.2× 148 1.9× 72 1.3× 29 625
J. P. Thompson United Kingdom 12 313 1.2× 11 0.1× 20 0.2× 8 0.1× 24 0.4× 29 416
Effiong Ekong Akpan Nigeria 12 55 0.2× 3 0.0× 15 0.2× 6 0.1× 28 0.5× 25 330
Janet Onopa United States 7 19 0.1× 31 0.2× 76 1.0× 36 0.6× 8 344
Elena Alonzo Italy 8 58 0.2× 27 0.3× 10 0.1× 43 0.8× 13 551
Milica Zeković Serbia 13 53 0.2× 4 0.0× 5 0.1× 7 0.1× 59 1.0× 52 461
Mônica Cattafesta Brazil 12 39 0.2× 4 0.0× 8 0.1× 13 0.2× 52 301
O J Odia Nigeria 10 6 0.0× 7 0.1× 33 0.4× 8 0.1× 20 0.4× 18 388
Alexander Kalimbira Malawi 12 177 0.7× 77 1.0× 12 0.2× 37 697
Sheng Ren United States 7 41 0.2× 53 0.7× 3 0.0× 164 2.9× 11 525

Countries citing papers authored by Patrick F. Pace

Since Specialization
Citations

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

Fields of papers citing papers by Patrick F. Pace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick F. Pace. 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 Patrick F. Pace. The network helps show where Patrick F. Pace may publish in the future.

Co-authorship network of co-authors of Patrick F. Pace

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick F. Pace. A scholar is included among the top collaborators of Patrick F. Pace 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 Patrick F. Pace. Patrick F. Pace 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.
Bentley, John P., et al.. (2018). Development of the medication adherence estimation and differentiation scale (MEDS). Current Medical Research and Opinion. 35(4). 577–585. 9 indexed citations
2.
Bentley, John P., et al.. (2017). Preliminary development of the Medication Nonpersistence Scale. Journal of the American Pharmacists Association. 57(3). 389–394.e1. 3 indexed citations
3.
Joshi, Namita, et al.. (2015). Healthcare Burden of cervical cancer in a national Medicaid managed care population. Value in Health. 18(3). A273–A274. 1 indexed citations
4.
Khanna, Rahul, et al.. (2012). Medication Adherence Among Recipients with Chronic Diseases Enrolled in a State Medicaid Program. Population Health Management. 15(5). 253–260. 29 indexed citations
5.
Smith, Barbara J., David E. Wedge, & Patrick F. Pace. (2012). A Microtiter Assay Shows Effectiveness of Fungicides for Control ofColletotrichumspp. from Strawberry. International Journal of Fruit Science. 13(1-2). 205–216. 5 indexed citations
7.
Yang, Yi, et al.. (2010). High-risk Diabetic Patients in Medicare Part D Programs: Are They Getting the Recommended ACEI/ARB Therapy?. Journal of General Internal Medicine. 25(4). 298–304. 15 indexed citations
8.
Yang, Yi, et al.. (2010). Nonadherence to angiotensin-converting enzyme inhibitors and/or angiotensin II receptor blockers among high-risk patients with diabetes in Medicare Part D programs. Journal of the American Pharmacists Association. 50(4). 527–531. 12 indexed citations
9.
Yang, Yi, et al.. (2009). Predictors of medication nonadherence among patients with diabetes in Medicare Part D programs: A retrospective cohort study. Clinical Therapeutics. 31(10). 2178–2188. 114 indexed citations
10.
Yang, Yi, et al.. (2009). Medication Nonadherence and the Risks of Hospitalization, Emergency Department Visits, and Death Among Medicare Part D Enrollees With Diabetes. 5 indexed citations
11.
Wang, Xilin, David E. Wedge, Nurhayat Tabanca, et al.. (2008). Development of a Miniaturized 24-well Strawberry Leaf Disk Bioassay for Evaluating Natural Fungicides. Natural Product Communications. 3(7). 4 indexed citations
12.
Wedge, David E., Kenneth J. Curry, Barbara J. Smith, et al.. (2002). In vitro sensitivity and resistance profiles of Botrytis cinerea isolates from Louisiana strawberry farms.. 78–81. 4 indexed citations
13.
Duke, Stephen O., Agnes M. Rimando, Patrick F. Pace, Krishna N. Reddy, & Reid J. Smeda. (2002). Isoflavone, Glyphosate, and Aminomethylphosphonic Acid Levels in Seeds of Glyphosate-Treated, Glyphosate-Resistant Soybean. Journal of Agricultural and Food Chemistry. 51(1). 340–344. 152 indexed citations
14.
Pace, Patrick F., et al.. (2001). Effect of mulch on weed infestation, soil temperature, nutrient concentration, and tuber yield in Ipomoea batatas (L.) lam. in Papua New Guinea. Tropical Agriculture. 78(3). 144–151. 22 indexed citations
15.
Baker, William A., et al.. (1999). Genetic Analysis of Frogeye Leaf Spot Resistance in PI54610 and Peking Soybean. Crop Science. 39(4). 1021–1025. 22 indexed citations
16.
Pace, Patrick F., Harry T. Cralle, J. Tom Cothren, & Scott A. Senseman. (1999). Photosynthate and Dry Matter Partitioning in Short‐ and Long‐Season Cotton Cultivars. Crop Science. 39(4). 1065–1069. 28 indexed citations
17.
Pace, Patrick F., et al.. (1999). Supercritical Fluid Extraction and Solid-Phase Extraction of AC 263,222 and Imazethapyr from Three Texas Soils. Archives of Environmental Contamination and Toxicology. 37(4). 440–444. 8 indexed citations
18.
Grey, Timothy L., Glenn Wehtje, B. F. Hajek, et al.. (1996). Adsorption, Mobility, and Filtration of Metolachlor in Container Media. Journal of the American Society for Horticultural Science. 121(3). 478–482. 7 indexed citations
19.
Wehtje, Glenn, et al.. (1994). Influence of Planter Type and Seeding Rate on Yield and Disease Incidence in Peanut1. Peanut Science. 21(1). 16–19. 17 indexed citations
20.
Pace, Patrick F., David Weaver, & Leonardo Daniel Ploper. (1993). Additional Genes for Resistance to Frogeye Leaf Spot Race 5 in Soybean. Crop Science. 33(6). 1144–1145. 17 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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