Nikki Graham

6 papers receiving 212 citations

Peers

Nikki Graham
Comparison fields: 5 of 35
  • Nephrology 120
  • Immunology and Allergy 70
  • Pathology and Forensic Medicine 68
  • Hematology 41
  • Genetics 26
Replace Kiyonobu Ishizuka with:
Kiyonobu Ishizuka Japan
Szabolcs Benedek Hungary
Patrícia Ferreira Abreu Brazil
Alexandra Cambier France
Maria Eleni Drosou United States
Riddhishkumar Shah United States
Hiroko Togawa Japan
Hironobu Mukaiyama Japan
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Citations per field
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Citations per year

Countries citing papers authored by Nikki Graham

Since Specialization
Citations

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

Fields of papers citing papers by Nikki Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2015165
2 201743
3 19834
4 20112
5
Maternal, rather than fetal, genetic variation in vitamin D metabolism is associated with umbilical cord blood 25-hydroxyvitamin D in pregnancies supplemented with cholecalciferol: findings from the MAVIDOS randomized controlled trial
20211
6
The response to antenatal cholecalciferol supplementation is associated with common vitamin D related genetic variants: findings from the MAVIDOS trial.
20171

About Nikki Graham

Nikki Graham is a scholar working on Pathology and Forensic Medicine, Surgery, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 6 papers that have together received 216 indexed citations. Recurring topics across this work include Vitamin D Research Studies (3 papers), Birth, Development, and Health (2 papers), Pancreatic function and diabetes (1 paper), Renal Diseases and Glomerulopathies (1 paper), Restraint-Related Deaths (1 paper), Acute Myeloid Leukemia Research (1 paper), Renal and related cancers (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Nephrology (120 citations), Immunology and Allergy (70 citations), Pathology and Forensic Medicine (68 citations), Hematology (41 citations) and Genetics (26 citations). Nikki Graham has collaborated with scholars based in United Kingdom. Frequent co-authors include Reuben J. Pengelly, Christine Gast, Gopalakrishnan Venkat‐Raman, Sarah Ennis, Eleanor G. Seaby, Matthew Lyon, David J. Bunyan, Keith M. Godfrey, Stephen Kennedy and John W. Holloway. Their work appears in journals such as American Journal of Forensic Medicine & Pathology, Nephrology Dialysis Transplantation, Journal of Clinical Oncology, Journal of Bone and Mineral Research and The Journal of Clinical Endocrinology & Metabolism.

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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