M. Pierce

1.2k total citations
25 papers, 908 citations indexed

About

M. Pierce is a scholar working on General Health Professions, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, M. Pierce has authored 25 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in General Health Professions, 8 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in M. Pierce's work include Diabetes Management and Education (5 papers), Primary Care and Health Outcomes (5 papers) and Chronic Disease Management Strategies (3 papers). M. Pierce is often cited by papers focused on Diabetes Management and Education (5 papers), Primary Care and Health Outcomes (5 papers) and Chronic Disease Management Strategies (3 papers). M. Pierce collaborates with scholars based in United Kingdom, Qatar and United States. M. Pierce's co-authors include H. Keen, Clare Bradley, Deborah Ridout, Rebecca Hardy, Andrew Wong, Marcus Richards, Gina Agarwal, Imran Shah, Stephanie Black and Diana Kuh and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Epidemiology and International Journal of Epidemiology.

In The Last Decade

M. Pierce

22 papers receiving 870 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Pierce United Kingdom	12	231	223	206	157	140	25	908
Mary Pierce United Kingdom	17	98 0.4×	214 1.0×	247 1.2×	190 1.2×	132 0.9×	28	906
Gayenell Magwood United States	21	523 2.3×	307 1.4×	122 0.6×	229 1.5×	122 0.9×	78	1.3k
Yelena Bird Canada	17	205 0.9×	162 0.7×	110 0.5×	223 1.4×	255 1.8×	32	1.0k
Sharon Davis United States	21	263 1.1×	245 1.1×	100 0.5×	146 0.9×	202 1.4×	60	1.3k
Pekka Puska Finland	11	138 0.6×	376 1.7×	166 0.8×	121 0.8×	179 1.3×	19	1.1k
Stephania T. Miller United States	14	251 1.1×	199 0.9×	176 0.9×	121 0.8×	71 0.5×	35	749
Henry S. Fraser Barbados	18	120 0.5×	248 1.1×	297 1.4×	163 1.0×	108 0.8×	41	1.1k
Aline Richard Switzerland	19	227 1.0×	315 1.4×	83 0.4×	111 0.7×	208 1.5×	43	1.2k
Thomas Lung Australia	17	238 1.0×	287 1.3×	339 1.6×	122 0.8×	149 1.1×	76	1.2k
Linn Getz Norway	19	436 1.9×	369 1.7×	65 0.3×	171 1.1×	106 0.8×	70	1.3k

Countries citing papers authored by M. Pierce

Since Specialization

Citations

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

Fields of papers citing papers by M. Pierce

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Pierce

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Pierce, M., et al.. (2024). Mind the app: more time spent on headspace leads to beneficial day-to-day changes in mindfulness, depression, anxiety and stress in college students. SHILAP Revista de lepidopterología. 3(1). 2400878–2400878. 1 indexed citations

Stafford, Mai, Stephanie Black, Imran Shah, et al.. (2013). Using a birth cohort to study ageing: representativeness and response rates in the National Survey of Health and Development. European Journal of Ageing. 10(2). 145–157. 165 indexed citations

Silverwood, Richard J., Dorothea Nitsch, M. Pierce, Diana Kuh, & Gita D. Mishra. (2011). Characterizing Longitudinal Patterns of Physical Activity in Mid-Adulthood Using Latent Class Analysis: Results From a Prospective Cohort Study. American Journal of Epidemiology. 174(12). 1406–1415. 28 indexed citations

Kuh, D, M. Pierce, J.E. Adams, et al.. (2011). Cohort Profile: Updating the cohort profile for the MRC National Survey of Health and Development: a new clinic-based data collection for ageing research. International Journal of Epidemiology. 40(1). e1–e9. 224 indexed citations

Granat, Robert, et al.. (2010). The QuakeSim System for GPS Time Series Analysis. AGU Fall Meeting Abstracts. 2010. 1 indexed citations

Nazroo, James, Emanuela Falaschetti, M. Pierce, & Paola Primatesta. (2009). Ethnic inequalities in access to and outcomes of healthcare: analysis of the Health Survey for England. Journal of Epidemiology & Community Health. 63(12). 1022–1027. 69 indexed citations

Granat, Robert, et al.. (2007). Detection of regional events using streaming GPS. AGUFM. 2007. 1 indexed citations

Granat, Robert, M. Pierce, Galip Aydın, & Qi Zhou. (2006). GPS Sensor Web Time Series Analysis Using SensorGrid Technology. AGUFM. 2006. 1 indexed citations

Agarwal, Gina, M. Pierce, & Deborah Ridout. (2002). The GP perspective: problems experienced in providing diabetes care in UK general practice. Diabetic Medicine. 19(s4). 13–20. 16 indexed citations

10.

Swinglehurst, Deborah, et al.. (2001). A clinical informaticist to support primary care decision making.. PubMed. 10(4). 245–9. 48 indexed citations

11.

Pierce, M., Daniel Harding, Deborah Ridout, H. Keen, & Clare Bradley. (2001). Risk and prevention of type II diabetes: offspring's views.. PubMed Central. 51(464). 194–9. 35 indexed citations

12.

Pierce, M., Deborah Ridout, David J. Harding, H. Keen, & Clare Bradley. (2000). More good than harm: a randomised controlled trial of the effect of education about familial risk of diabetes on psychological outcomes.. PubMed. 50(460). 867–71. 32 indexed citations

13.

Pierce, M., et al.. (1999). Diabetes mellitus in the family: perceptions of offspring’s risk. Diabetic Medicine. 16(5). 431–436. 23 indexed citations

14.

Pierce, M.. (1998). Doing research in general practice: advice for the uninitiated. Diabetic Medicine. 15(S3). S25–S28. 7 indexed citations

15.

Pierce, M.. (1998). Doing research in general practice: advice for the uninitiated. Diabetic Medicine. 15(S3). S25–S28. 3 indexed citations

16.

Avery, L., D. Q. Borsey, S A Greene, et al.. (1998). British Diabetic Association guidelines on genetic and immune screening for Type 1 diabetes mellitus. Diabetic Medicine. 15(8). 643–643. 3 indexed citations

17.

Pierce, M., H. Keen, & Clare Bradley. (1995). Risk of Diabetes in Offspring of Parents with Non‐insulin‐dependent Diabetes. Diabetic Medicine. 12(1). 6–13. 91 indexed citations

18.

Pierce, M.. (1992). Undergraduate preparation of the oncology nurse.. PubMed. 19(8). 1234–7. 3 indexed citations

19.

Pierce, M., et al.. (1989). Prospective randomised controlled trial of methods of call and recall for cervical cytology screening.. BMJ. 299(6692). 160–162. 89 indexed citations

20.

Pierce, M., et al.. (1976). Brain abscess in a dog.. PubMed. 71(6). 785–93. 2 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.

Explore authors with similar magnitude of impact