Jacqueline M. Major

3.1k citations
65 papers · 2.3k indexed · h-index 27

Jacqueline M. Major

64 papers receiving 2.2k citations

Peers

Jacqueline M. Major
Comparison fields: 5 of 137
  • Transportation 157
  • Health 191
  • Biochemistry 122
  • Oncology 556
  • Pathology and Forensic Medicine 312
Replace Ming Wu with:
Ming Wu China
Andrzej Tykarski Poland
Maureen A. Murtaugh United States
Zhengjing Huang China
Mariana Lazo United States
Lorraine L. Lipscombe Canada
Julie C. Will United States
Qian Deng China
Kristine R. Monroe United States
Norie Kurahashi Japan
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Citations per year

Countries citing papers authored by Jacqueline M. Major

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline M. Major

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jacqueline M. Major, 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 Jacqueline M. Major Line = papers co-authored together Jacqueline M. Major links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202321
2 20225
3 20223
4 20188
5 201881
6 20175
7 201423
8 201416
9
Insulin-like growth factors and risk of kidney cancer in men
20130
10
Sunlight and other determinants of circulating 25-hydroxyvitamin D levels in black and white participants in a nationwide U.S. study
201364
11 20131
12 201340
13 201246
14 2012190
15 2012168
16 2011115
17 20115
18 200669
19 200426
20 19992

About Jacqueline M. Major

Jacqueline M. Major is a scholar working on Family Practice, Statistics and Probability and Biochemistry, having authored 65 papers that have together received 2.3k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (13 papers), Vitamin D Research Studies (6 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Statistical Methods in Clinical Trials (6 papers), Antioxidant Activity and Oxidative Stress (5 papers), Cancer Risks and Factors (5 papers), Advanced Causal Inference Techniques (5 papers) and Food Security and Health in Diverse Populations (4 papers). The work is most often cited by research in Transportation (157 citations), Health (191 citations) and Biochemistry (122 citations). Jacqueline M. Major has collaborated with scholars based in United States, Finland and Canada. Frequent co-authors include Rashmi Sinha, Barry I. Graubard, Chyke A. Doubeni, Albert R. Hollenbeck, Mario Schootman, Adeyinka O. Laiyemo, Yikyung Park, Min Lian, Amanda J. Cross and Demetrius Albanes. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and JNCI Journal of the National Cancer Institute.

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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