Vikesh Amin

424 total citations
25 papers, 249 citations indexed

About

Vikesh Amin is a scholar working on Sociology and Political Science, Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Vikesh Amin has authored 25 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Sociology and Political Science, 8 papers in Health and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Vikesh Amin's work include Intergenerational and Educational Inequality Studies (13 papers), Birth, Development, and Health (8 papers) and Health disparities and outcomes (8 papers). Vikesh Amin is often cited by papers focused on Intergenerational and Educational Inequality Studies (13 papers), Birth, Development, and Health (8 papers) and Health disparities and outcomes (8 papers). Vikesh Amin collaborates with scholars based in United States, Germany and United Kingdom. Vikesh Amin's co-authors include Jere R. Behrman, Hans‐Peter Kohler, Tim D. Spector, Petter Lundborg, Dan‐Olof Rooth, Alfonso Flores‐Lagunes, Carlos A. Flores, Jason M. Fletcher, Qiongshi Lu and Paul Dunn and has published in prestigious journals such as American Economic Review, Social Science & Medicine and Population and Development Review.

In The Last Decade

Vikesh Amin

22 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikesh Amin United States 10 108 77 73 50 28 25 249
Kerris Cooper United Kingdom 8 124 1.1× 77 1.0× 96 1.3× 18 0.4× 22 0.8× 18 317
Christine Horrocks United Kingdom 8 161 1.5× 31 0.4× 63 0.9× 42 0.8× 20 0.7× 15 269
Veerle Draulans Belgium 7 149 1.4× 79 1.0× 24 0.3× 55 1.1× 10 0.4× 22 250
Heather Gridley Australia 9 72 0.7× 34 0.4× 70 1.0× 15 0.3× 25 0.9× 29 214
Marieke van de Rakt Netherlands 5 171 1.6× 36 0.5× 69 0.9× 26 0.5× 12 0.4× 6 289
Jennifer Lawson United States 8 113 1.0× 137 1.8× 96 1.3× 17 0.3× 14 0.5× 14 300
Michelle M. Jacob United States 9 96 0.9× 80 1.0× 87 1.2× 32 0.6× 14 0.5× 29 280
Rosanne M. Jocson Philippines 8 84 0.8× 46 0.6× 60 0.8× 16 0.3× 30 1.1× 25 262
Colleen I. Murray United States 9 87 0.8× 26 0.3× 39 0.5× 18 0.4× 10 0.4× 20 234
Steven Elías Alvarado United States 8 160 1.5× 80 1.0× 55 0.8× 12 0.2× 48 1.7× 13 294

Countries citing papers authored by Vikesh Amin

Since Specialization
Citations

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

Fields of papers citing papers by Vikesh Amin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikesh Amin

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

All Works

20 of 20 papers shown
1.
Amin, Vikesh, Jere R. Behrman, Jason M. Fletcher, et al.. (2025). Does Schooling Improve Cognitive Abilities at Older Ages? Causal Evidence From Nonparametric Bounds. Demography. 62(2). 515–541.
2.
Amin, Vikesh, et al.. (2023). Heterogenous trajectories in physical, mental and cognitive health among older Americans: Roles of genetics and life course contextual factors. SSM - Population Health. 23. 101448–101448. 1 indexed citations
3.
Kohler, Iliana V., et al.. (2023). Resilience, Accelerated Aging, and Persistently Poor Health: Diverse Trajectories of Health in Malawi. Population and Development Review. 49(4). 771–800. 1 indexed citations
4.
Amin, Vikesh, et al.. (2023). Re-examining the relationship between education and adult mental health in the UK: A research note. Economics of Education Review. 93. 102354–102354. 8 indexed citations
5.
Amin, Vikesh & Jason M. Fletcher. (2022). What is driving the relationship between height and cognition? Evidence from the Twins Early Development Study. Economics & Human Biology. 47. 101174–101174. 1 indexed citations
6.
Amin, Vikesh, Jere R. Behrman, Jason M. Fletcher, et al.. (2022). Does Schooling Improve Cognitive Abilities at Older Ages: Causal Evidence from Nonparametric Bounds. SSRN Electronic Journal. 2 indexed citations
7.
Amin, Vikesh, et al.. (2022). What can we learn about the effect of mental health on labor market outcomes under weak assumptions? Evidence from the NLSY79. Labour Economics. 79. 102258–102258. 8 indexed citations
8.
Amin, Vikesh, et al.. (2021). Higher educational attainment is associated with longer telomeres in midlife: Evidence from sibling comparisons in the UK Biobank. SSM - Population Health. 17. 101018–101018. 7 indexed citations
9.
Amin, Vikesh, Carlos A. Flores, & Alfonso Flores‐Lagunes. (2020). The impact of BMI on mental health: Further evidence from genetic markers. Economics & Human Biology. 38. 100895–100895. 13 indexed citations
10.
Amin, Vikesh, Jere R. Behrman, Jason M. Fletcher, et al.. (2019). Mental Health, Schooling Attainment and Polygenic Scores: Are There Significant Gene-Environment Associations?. SocArXiv (OSF Preprints). 1 indexed citations
11.
Amin, Vikesh, Paul Dunn, & Tim D. Spector. (2018). Does education attenuate the genetic risk of obesity? Evidence from U.K. Twins. Economics & Human Biology. 31. 200–208. 6 indexed citations
12.
Amin, Vikesh, Petri Böckerman, Jutta Viinikainen, et al.. (2017). Gene-environment interactions between education and body mass: Evidence from the UK and Finland. Social Science & Medicine. 195. 12–16. 10 indexed citations
13.
Amin, Vikesh, et al.. (2016). Decomposing racial differences in adolescent smoking in the U.S.. Economics & Human Biology. 22. 161–176. 9 indexed citations
14.
15.
Amin, Vikesh, Jere R. Behrman, Hans‐Peter Kohler, Yanyan Xiong, & Junsen Zhang. (2014). Causal inferences: Identical twins help and clarity about necessary assumptions is critical. Social Science & Medicine. 127. 201–202. 9 indexed citations
16.
Amin, Vikesh, Jere R. Behrman, & Hans‐Peter Kohler. (2014). Schooling has smaller or insignificant effects on adult health in the US than suggested by cross-sectional associations: New estimates using relatively large samples of identical twins. Social Science & Medicine. 127. 181–189. 48 indexed citations
17.
Amin, Vikesh, Jere R. Behrman, & Tim D. Spector. (2013). Does more schooling improve health outcomes and health related behaviors? Evidence from U.K. twins. Economics of Education Review. 35. 134–148. 40 indexed citations
18.
Amin, Vikesh & Jere R. Behrman. (2011). Do More-Schooled Women Have Fewer Children and Delay Childbearing? Evidence from a Sample of U.S. Twins. SSRN Electronic Journal. 13 indexed citations
19.
Amin, Vikesh. (2011). Returns to Education: Evidence from UK Twins: Comment. American Economic Review. 101(4). 1629–1635. 13 indexed citations
20.
Amin, Vikesh. (2009). Sibling Sex Composition and Educational Outcomes: A Review of Theory and Evidence for the UK. Labour. 23(1). 67–96. 9 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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