J.M. Mooy

1.1k total citations
11 papers, 853 citations indexed

About

J.M. Mooy is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Genetics. According to data from OpenAlex, J.M. Mooy has authored 11 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Epidemiology and 4 papers in Genetics. Recurrent topics in J.M. Mooy's work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Diabetes Management and Research (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). J.M. Mooy is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Diabetes Management and Research (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). J.M. Mooy collaborates with scholars based in Netherlands and United States. J.M. Mooy's co-authors include L.M. Bouter, Robert J. Heine, P.A. Grootenhuis, Pieter J. Kostense, H. de Vries, C. Popp‐Snijders, Hendrik de Vries, Hans A. Valkenburg, G. Nijpels and Joost Dekker and has published in prestigious journals such as Diabetes Care, Diabetologia and Diabetic Medicine.

In The Last Decade

J.M. Mooy

11 papers receiving 816 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.M. Mooy Netherlands 8 466 180 176 138 128 11 853
V. R. Collins Australia 13 244 0.5× 183 1.0× 138 0.8× 81 0.6× 112 0.9× 15 779
Ved V. Gossain United States 18 414 0.9× 87 0.5× 121 0.7× 100 0.7× 116 0.9× 65 868
Liisa Saarikoski Finland 14 323 0.7× 289 1.6× 224 1.3× 88 0.6× 147 1.1× 19 913
Ami Laws United States 16 662 1.4× 279 1.6× 339 1.9× 232 1.7× 206 1.6× 21 1.3k
Peter Leslie United Kingdom 14 500 1.1× 127 0.7× 195 1.1× 82 0.6× 109 0.9× 26 919
Rocio I. Pereira United States 18 312 0.7× 219 1.2× 317 1.8× 80 0.6× 99 0.8× 37 839
G Guzzaloni Italy 13 404 0.9× 250 1.4× 309 1.8× 76 0.6× 87 0.7× 37 967
John T. Devlin United States 19 379 0.8× 116 0.6× 605 3.4× 229 1.7× 143 1.1× 32 1.2k
Jee‐Young Oh South Korea 12 578 1.2× 151 0.8× 142 0.8× 112 0.8× 125 1.0× 19 1.0k
C.M. Champagne United States 3 280 0.6× 170 0.9× 411 2.3× 54 0.4× 115 0.9× 3 872

Countries citing papers authored by J.M. Mooy

Since Specialization
Citations

This map shows the geographic impact of J.M. Mooy'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. Mooy 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. Mooy more than expected).

Fields of papers citing papers by J.M. Mooy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

11 of 11 papers shown
1.
Mooy, J.M. & L.J. Gunning-Schepers. (2001). Computer-assisted health impact assessment for intersectoral health policy. Health Policy. 57(3). 169–177. 19 indexed citations
2.
Mooy, J.M., Henry J.C. de Vries, P.A. Grootenhuis, L.M. Bouter, & R.J. Heine. (2000). Major stressful life events in relation to prevalence of undetected type 2 diabetes. Diabetes Care. 30 indexed citations
3.
Mooy, J.M., H. de Vries, P.A. Grootenhuis, L.M. Bouter, & Robert J. Heine. (2000). Major stressful life events in relation to prevalence of undetected type 2 diabetes: the Hoorn Study.. Diabetes Care. 23(2). 197–201. 134 indexed citations
4.
Ruige, Johannes, Joost Dekker, Werner Blum, et al.. (1999). Leptin and variables of body adiposity, energy balance, and insulin resistance in a population-based study. The Hoorn Study.. Diabetes Care. 22(7). 1097–1104. 90 indexed citations
5.
Mooy, J.M., P.A. Grootenhuis, H. de Vries, et al.. (1998). Determinants of specific serum insulin concentrations in a general Caucasian population aged 50 to 74 years (the Hoorn study). Diabetic Medicine. 15(1). 45–52. 26 indexed citations
6.
Grootenhuis, P.A., J.M. Mooy, P.J. Kostense, et al.. (1998). Dissimilar association of conventional immuno-reactive versus specific insulin with cardiovascular risk factors: a consequence of proinsulinaemia?. Diabetes Research and Clinical Practice. 40(2). 81–90. 1 indexed citations
8.
Heine, Robert J. & J.M. Mooy. (1996). Impaired glucose tolerance and unidentified diabetes. Postgraduate Medical Journal. 72(844). 67–71. 5 indexed citations
9.
Heine, Robert J., G. Nijpels, & J.M. Mooy. (1996). New data on the rate of progression of impaired glucose tolerance to NIDDM and predicting factors.. PubMed. 13(3 Suppl 2). S12–4. 34 indexed citations
10.
Mooy, J.M., P.A. Grootenhuis, Hendrik de Vries, et al.. (1995). Prevalence and Determinants of Glucose Intolerance in a Dutch Caucasian Population: The Hoorn Study. Diabetes Care. 18(9). 1270–1273. 247 indexed citations
11.
Grootenhuis, P.A., J.M. Mooy, L.M. Bouter, H. de Vries, & Robert J. Heine. (1992). Cardiovascular risk factors in relation to glucose tolerance in a Caucasian population. Diabetologia. 35(1). 1 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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