J.M. Starr

558 total citations
9 papers, 344 citations indexed

About

J.M. Starr is a scholar working on Public Health, Environmental and Occupational Health, Health and Rheumatology. According to data from OpenAlex, J.M. Starr has authored 9 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Public Health, Environmental and Occupational Health, 2 papers in Health and 2 papers in Rheumatology. Recurrent topics in J.M. Starr's work include Nutritional Studies and Diet (3 papers), Folate and B Vitamins Research (2 papers) and Health disparities and outcomes (2 papers). J.M. Starr is often cited by papers focused on Nutritional Studies and Diet (3 papers), Folate and B Vitamins Research (2 papers) and Health disparities and outcomes (2 papers). J.M. Starr collaborates with scholars based in United Kingdom, United States and Norway. J.M. Starr's co-authors include Ian J. Deary, Lawrence J. Whalley, Alison Pattie, David Hunter, Janie Corley, James R. Hébert, N. Shivappa, Helen Lemmon, Andrew Collins and Susan J. Duthie and has published in prestigious journals such as Neurology, Age and Ageing and Neuroscience Letters.

In The Last Decade

J.M. Starr

9 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J.M. Starr United Kingdom	8	144	104	81	50	45	9	344
Tessa N. van den Kommer Netherlands	10	156 1.1×	80 0.8×	44 0.5×	15 0.3×	68 1.5×	15	403
Marcus Kiiti Borges Brazil	15	148 1.0×	212 2.0×	51 0.6×	34 0.7×	49 1.1×	32	627
Yoshiyuki Muramatsu Japan	11	57 0.4×	86 0.8×	51 0.6×	38 0.8×	16 0.4×	32	443
Nafiseh Toghianifar Iran	14	98 0.7×	97 0.9×	72 0.9×	25 0.5×	20 0.4×	33	521
Caroline Gill United Kingdom	7	210 1.5×	72 0.7×	110 1.4×	10 0.2×	58 1.3×	11	458
Jenna Najar Sweden	10	130 0.9×	88 0.8×	82 1.0×	15 0.3×	52 1.2×	24	344
Audra Wenzlow United States	6	206 1.4×	98 0.9×	33 0.4×	20 0.4×	37 0.8×	10	355
Paula Iso‐Markku Finland	8	129 0.9×	158 1.5×	104 1.3×	12 0.2×	76 1.7×	11	377
Mirjam Köhler Germany	10	277 1.9×	101 1.0×	51 0.6×	8 0.2×	83 1.8×	13	471
Jessica Zwerling United States	7	185 1.3×	34 0.3×	39 0.5×	20 0.4×	21 0.5×	17	334

Countries citing papers authored by J.M. Starr

Since Specialization

Citations

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

Fields of papers citing papers by J.M. Starr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.M. Starr

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

All Works

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9 of 9 papers shown

1.

Corley, Janie, N. Shivappa, James R. Hébert, J.M. Starr, & Ian J. Deary. (2019). Associations between Dietary Inflammatory Index Scores and Inflammatory Biomarkers among Older Adults in the Lothian Birth Cohort 1936 Study. The journal of nutrition health & aging. 23(7). 628–636. 52 indexed citations

2.

Hernández, María del C. Valdés, J. Kyle, Julia Allan, et al.. (2017). Dietary iodine exposure and brain structures and cognition in older people. Exploratory analysis in the Lothian Birth Cohort 1936. The journal of nutrition health & aging. 21(9). 971–979. 9 indexed citations

3.

Johnson, Wendy, Alan J. Gow, Janie Corley, et al.. (2012). Can we spot deleterious ageing in two waves of data? The Lothian Birth Cohort 1936 from ages 70 to 73. Longitudinal and Life Course Studies. 13 indexed citations

4.

Starr, J.M., Alison Pattie, Lawrence J. Whalley, & Ian J. Deary. (2007). Predictors of tooth loss in the 1921 Lothian Birth Cohort. Age and Ageing. 37(1). 111–114. 8 indexed citations

5.

Whalley, Lawrence J., Helen Fox, Helen Lemmon, et al.. (2003). Dietary supplement use in old age: associations with childhood IQ, current cognition and health. International Journal of Geriatric Psychiatry. 18(9). 769–776. 15 indexed citations

6.

Whalley, Lawrence J., Roger T. Staff, Alison D. Murray, et al.. (2003). Plasma vitamin C, cholesterol and homocysteine are associated with grey matter volume determined by MRI in non-demented old people. Neuroscience Letters. 341(3). 173–176. 30 indexed citations

7.

Whalley, Lawrence J., et al.. (2000). Childhood mental ability and dementia. Neurology. 55(10). 1455–1459. 205 indexed citations

8.

Starr, J.M., et al.. (1997). Familial or sporadic clusters of presenile dementia in Scotland: I. Parental causes of death in Alzheimer and vascular presenile dementias.. PubMed. 7(4). 141–6. 4 indexed citations

9.

Starr, J.M., et al.. (1997). Familial or sporadic clusters of presenile Alzheimerʼs disease in Scotland. Psychiatric Genetics. 7(4). 147–152. 8 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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