M C Neale

2.1k total citations · 1 hit paper
15 papers, 1.5k citations indexed

About

M C Neale is a scholar working on Genetics, Experimental and Cognitive Psychology and Clinical Psychology. According to data from OpenAlex, M C Neale has authored 15 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Experimental and Cognitive Psychology and 4 papers in Clinical Psychology. Recurrent topics in M C Neale's work include Cognitive Abilities and Testing (5 papers), Genetic Associations and Epidemiology (4 papers) and Birth, Development, and Health (3 papers). M C Neale is often cited by papers focused on Cognitive Abilities and Testing (5 papers), Genetic Associations and Epidemiology (4 papers) and Birth, Development, and Health (3 papers). M C Neale collaborates with scholars based in United States, Norway and Netherlands. M C Neale's co-authors include Andrew C. Heath, Ronald C. Kessler, Kenneth S. Kendler, Ellen E. Walters, C J MacLean, L. J. Eaves, K S Kendler, L J Eaves, Kristen C. Jacobson and Nikolai Olavi Czajkowski and has published in prestigious journals such as American Journal of Psychiatry, Psychological Medicine and Health Psychology.

In The Last Decade

M C Neale

15 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Stressful life events, genetic liability, and onset of an episode of major depression in women

1995 750 citations Kenneth S. Kendler, Ronald C. Kessler et al. American Journal of Psychiatry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M C Neale United States	12	607	332	236	200	194	15	1.5k
K S Kendler United States	16	842 1.4×	307 0.9×	178 0.8×	211 1.1×	109 0.6×	20	1.6k
Gad Lubin Israel	17	655 1.1×	211 0.6×	210 0.9×	136 0.7×	158 0.8×	28	1.6k
Cloninger Cr United States	10	645 1.1×	322 1.0×	90 0.4×	143 0.7×	48 0.2×	14	1.3k
William True United States	20	1.1k 1.7×	424 1.3×	307 1.3×	148 0.7×	126 0.6×	24	2.6k
Dorothea Blomeyer Germany	28	859 1.4×	235 0.7×	82 0.3×	260 1.3×	461 2.4×	58	2.0k
Galina P. Kirillova United States	18	593 1.0×	165 0.5×	49 0.2×	174 0.9×	205 1.1×	28	1.4k
Cassie Overstreet United States	21	438 0.7×	403 1.2×	122 0.5×	140 0.7×	170 0.9×	46	1.4k
Elena Gorodetsky United States	19	416 0.7×	246 0.7×	71 0.3×	215 1.1×	259 1.3×	30	1.1k
Claire M. Brown United States	14	502 0.8×	238 0.7×	85 0.4×	289 1.4×	77 0.4×	24	1.3k
Robert Keers United Kingdom	22	827 1.4×	322 1.0×	136 0.6×	228 1.1×	217 1.1×	46	1.7k

Countries citing papers authored by M C Neale

Since Specialization

Citations

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

Fields of papers citing papers by M C Neale

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M C Neale

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

All Works

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15 of 15 papers shown

Torgersen, Svenn, Nikolai Olavi Czajkowski, Kristen C. Jacobson, et al.. (2008). Dimensional representations of DSM-IV cluster B personality disorders in a population-based sample of Norwegian twins: a multivariate study. Psychological Medicine. 38(11). 1617–1625. 166 indexed citations

Shelton, Katherine H., Kate Lifford, Tom Fowler, et al.. (2006). The Association between Conduct Problems and the Initiation and Progression of Marijuana Use during Adolescence: A Genetic Analysis across Time. Behavior Genetics. 37(2). 314–325. 24 indexed citations

Beem, A. Leo, Daniëlle Posthuma, M C Neale, et al.. (2004). Linkage analysis of smoking initiation and quantity in Dutch sibling pairs. The Pharmacogenomics Journal. 4(4). 274–282. 48 indexed citations

Kendler, K. S., M C Neale, Laura M. Thornton, et al.. (2002). Cannabis use in the last year in a US national sample of twin and sibling pairs. Psychological Medicine. 32(3). 551–554. 18 indexed citations

Kendler, K. S., Carol A. Prescott, Kristen C. Jacobson, J. Myers, & M C Neale. (2002). The joint analysis of personal interview and family history diagnoses: evidence for validity of diagnosis and increased heritability estimates. Psychological Medicine. 32(5). 829–842. 32 indexed citations

Neale, M C, et al.. (2000). Use of geographic information systems (GIS) for pesticide exposure modelling. Pesticide Outlook. 11(1). 15–18. 1 indexed citations

Wade, Tracey, et al.. (2000). The relation between risk factors for binge eating and bulimia nervosa: A population-based female twin study.. Health Psychology. 19(2). 115–123. 6 indexed citations

We, Nance, Joann Bodurtha, John K. Hewitt, et al.. (1998). Models for the longitudinal genetic analysis of same-age twins: application to HDL cholesterol. Twin Research. 1(1). 3–8. 10 indexed citations

Kendler, Kenneth S., Ronald C. Kessler, Ellen E. Walters, et al.. (1995). Stressful life events, genetic liability, and onset of an episode of major depression in women. American Journal of Psychiatry. 152(6). 833–842. 750 indexed citations breakdown →

10.

Kendler, K S, M C Neale, Andrew C. Heath, Ronald C. Kessler, & L J Eaves. (1994). A twin-family study of alcoholism in women. American Journal of Psychiatry. 151(5). 707–715. 195 indexed citations

11.

Tambs, Kristian, Torbjørn Moum, Lindon J. Eaves, et al.. (1992). Genetic and environmental contributions to the variance of body height in a sample of first and second degree relatives. American Journal of Physical Anthropology. 88(3). 285–294. 36 indexed citations

12.

Austin, Mark, James M. Collins, Linda A. Corey, et al.. (1992). Aphidicolin-inducible common fragile-site expression: results from a population survey of twins.. PubMed. 50(1). 76–83. 24 indexed citations

13.

Tambs, Kristian, Torbjørn Moum, Lindon J. Eaves, et al.. (1991). Genetic and environmental contributions to the variance of the body mass index in a Norwegian sample of first‐ and second‐degree relatives. American Journal of Human Biology. 3(3). 257–267. 58 indexed citations

14.

Martin, Nicholas G., D.I. Boomsma, & M C Neale. (1989). Foreword. Behavior Genetics. 19(1). 5–7. 47 indexed citations

15.

Akker, Olga van den, Gary S. Stein, M C Neale, & Robin Murray. (1987). Genetic and Environmental Variation in Menstrual Cycle: Histories of Two British Twin Samples. Acta geneticae medicae et gemellologiae twin research. 36(4). 541–548. 53 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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