M. M. Farmer

574 total citations
8 papers, 444 citations indexed

About

M. M. Farmer is a scholar working on General Health Professions, Health and Oncology. According to data from OpenAlex, M. M. Farmer has authored 8 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in General Health Professions, 3 papers in Health and 2 papers in Oncology. Recurrent topics in M. M. Farmer's work include Primary Care and Health Outcomes (2 papers), Health Policy Implementation Science (2 papers) and Global Cancer Incidence and Screening (2 papers). M. M. Farmer is often cited by papers focused on Primary Care and Health Outcomes (2 papers), Health Policy Implementation Science (2 papers) and Global Cancer Incidence and Screening (2 papers). M. M. Farmer collaborates with scholars based in United States, United Kingdom and Mexico. M. M. Farmer's co-authors include Kenneth F. Ferraro, Lisa V. Rubenstein, Susanne Hempel, Darin D. Dougherty, Paul Shekelle, Elizabeth M. Yano, Steven M. Asch, Paul G Shekelle, Robbie Foy and Marika J Suttorp and has published in prestigious journals such as Journal of Health and Social Behavior, The Journals of Gerontology Series B and Archives of Virology.

In The Last Decade

M. M. Farmer

7 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. M. Farmer United States	5	251	226	89	54	50	8	444
Linni Gu China	10	183 0.7×	158 0.7×	73 0.8×	46 0.9×	55 1.1×	13	456
Ethel Mary Brinda Denmark	8	317 1.3×	147 0.7×	67 0.8×	45 0.8×	20 0.4×	9	532
Md. Ismail Tareque Bangladesh	17	293 1.2×	303 1.3×	121 1.4×	74 1.4×	114 2.3×	35	669
Rosa Monteserín Spain	7	165 0.7×	197 0.9×	47 0.5×	35 0.6×	33 0.7×	9	357
Donna J. Rabiner United States	13	259 1.0×	174 0.8×	106 1.2×	66 1.2×	157 3.1×	26	454
Tiffany Washington United States	11	224 0.9×	89 0.4×	88 1.0×	56 1.0×	67 1.3×	43	384
Aaron Hagedorn United States	8	210 0.8×	235 1.0×	60 0.7×	37 0.7×	150 3.0×	22	427
Mary McEniry United States	12	159 0.6×	214 0.9×	77 0.9×	26 0.5×	62 1.2×	28	468
Gan Ding China	11	157 0.6×	121 0.5×	61 0.7×	75 1.4×	19 0.4×	13	417
Ini Grewal United Kingdom	4	182 0.7×	124 0.5×	87 1.0×	30 0.6×	58 1.2×	5	382

Countries citing papers authored by M. M. Farmer

Since Specialization

Citations

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

Fields of papers citing papers by M. M. Farmer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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8 of 8 papers shown

1.

Hansen, E., et al.. (2024). Isolation and characterization of Salmonella enterica- and Escherichia coli-specific bacteriophages of the genus Epseptimavirus from wastewater in Minnesota. Archives of Virology. 169(12). 255–255.

2.

DeRycke, Eric, Ling Han, Lori A. Bastian, et al.. (2022). Racial and Rural Disparities in COVID-19 Vaccination Uptake in a National Sample of Veterans. A3695–A3695. 2 indexed citations

3.

Hade, Erinn M., David M. Murray, Michael L. Pennell, et al.. (2010). Intraclass Correlation Estimates for Cancer Screening Outcomes: Estimates and Applications in the Design of Group-Randomized Cancer Screening Studies. JNCI Monographs. 2010(40). 97–103. 38 indexed citations

4.

Danz, Margie, Lisa V. Rubenstein, Susanne Hempel, et al.. (2010). Identifying quality improvement intervention evaluations: is consensus achievable?. BMJ Quality & Safety. 19(4). 279–283. 25 indexed citations

5.

Rubenstein, Lisa V., Susanne Hempel, M. M. Farmer, et al.. (2008). Finding order in heterogeneity: types of quality-improvement intervention publications. BMJ Quality & Safety. 17(6). 403–408. 41 indexed citations

6.

Houston, Diane M., et al.. (2001). The benefits of uncertainty: Changes in women's perceptions of the cervical screening programme as a consequence of screening errors by Kent and Canterbury NHS Trust. Psychology Health & Medicine. 6(2). 107–113. 3 indexed citations

7.

Farmer, M. M. & Kenneth F. Ferraro. (1997). Distress and Perceived Health: Mechanisms of Health Decline. Journal of Health and Social Behavior. 38(3). 298–298. 184 indexed citations

8.

Ferraro, Kenneth F. & M. M. Farmer. (1996). Double Jeopardy, Aging as Leveler, or Persistent Health Inequality? A Longitudinal Analysis of White and Black Americans. The Journals of Gerontology Series B. 51B(6). S319–S328. 151 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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