John W. Jackson

7.5k citations
83 papers · 4.2k indexed · 2 hit papers · h-index 26

Impact in

  • Health top 1%
    • Health disparities and outcomes
    • Child and Adolescent Psychosocial and Emotional Development

Papers in

    • Advanced Causal Inference Techniques 16
    • Statistical Methods in Clinical Trials 6
    • Statistical Methods and Inference 5
    • Health disparities and outcomes 10

John W. Jackson

78 papers receiving 4.0k citations

Hit Papers

Recommendations for Using Causal Diagrams to Study Racial Health Disparities 2022 · 78 citations
78201420262018202250010001.5k

Peers

John W. Jackson
Comparison fields: 5 of 173
  • Health 554
  • Clinical Psychology 1.1k
  • Social Psychology 830
  • Applied Psychology 202
  • Behavioral Neuroscience 120
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Thomas Ten Have United States
Nae‐Yuh Wang United States
Tommi Härkänen Finland
Bobby L. Jones United States
María M. Llabre United States
Joshua F. Wiley Australia
Bao‐Liang Zhong China
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Clare Wilkinson United Kingdom
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Citations per field
00.5×3.1×
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Citations per year

Countries citing papers authored by John W. Jackson

Since Specialization
Citations

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

Fields of papers citing papers by John W. Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Jackson. 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 John W. Jackson. The network helps show where John W. Jackson may publish in the future.

Co-authorship network

The 25 scholars most cited alongside John W. Jackson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John W. Jackson Line = papers co-authored together John W. Jackson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20250
4 20251
5 20240
6 20240
7 202310
8 20233
9 20233
10 20229
11 202247
12 202036
13 202012
14 201954
15 20181
16 201715
17 201645
18 201620
19 201434
20 200782

About John W. Jackson

John W. Jackson is a scholar working on Statistics and Probability, Health, Health Informatics, Transplantation and General Health Professions, having authored 83 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (16 papers), Health Systems, Economic Evaluations, Quality of Life (14 papers), Health disparities and outcomes (10 papers), Racial and Ethnic Identity Research (7 papers), Schizophrenia research and treatment (7 papers), Statistical Methods in Clinical Trials (6 papers), Statistical Methods and Inference (5 papers) and Migration, Health and Trauma (4 papers). The work is most often cited by research in Health (554 citations), Clinical Psychology (1.1k citations), Social Psychology (830 citations), Applied Psychology (202 citations) and Behavioral Neuroscience (120 citations). John W. Jackson has collaborated with scholars based in United States, United Kingdom and Nepal. Frequent co-authors include Tien Chey, Vikram Patel, Zachary Steel, Claire Marnane, Derrick Silove, Tyler J. VanderWeele, Shanshan Li, Bruce J. Ellis, Will Boyce and H. B. S. Kemp. Their work appears in journals such as American Journal of Epidemiology, Epidemiology, Journal of Allergy and Clinical Immunology, Thorax and Journal of Racial and Ethnic Health Disparities.

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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