J. Rajput-Williams

830 citations
15 papers · 683 · h-index 9

Impact in

Papers in

J. Rajput-Williams

15 papers receiving 660 citations

Peers

J. Rajput-Williams
Comparison fields: 5 of 84
  • Obstetrics and Gynecology 197
  • Reproductive Medicine 191
  • Immunology 148
  • Biochemistry 38
  • Endocrinology, Diabetes and Metabolism 102
Replace Rihong Cong with:
Rihong Cong China
Floriana Centritto Italy
Ali Benian Türkiye
B Saffari United States
Iwona Sidorkiewicz Poland
Asmaa M. Ahmed Egypt
Tara C. Polek United States
Ricardo Chirino Spain
Mark D. Aupperlee United States
Olaf Herkert Germany
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Citations per field
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Citations per year

Countries citing papers authored by J. Rajput-Williams

Since Specialization
Citations

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

Fields of papers citing papers by J. Rajput-Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Rajput-Williams. 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 J. Rajput-Williams. The network helps show where J. Rajput-Williams may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1993373
2 198893
3 199546
4 199143
5
Do hydroxy-carotenoids prevent coronary heart disease? A comparison between Belfast and Toulouse.
199635
6 198824
7 200116
8 198915
9 199813
10 19986
11 19895
12 20024
13 19874
14 19893
15
Vitamin and mineral nutritional status and other biochemical data assessed in groups of men from Crevalcore and Montegiorgio (Italy).
19953

About J. Rajput-Williams

J. Rajput-Williams is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Nutrition and Dietetics and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 683 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipoproteins and Cardiovascular Health (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Cancer, Lipids, and Metabolism (2 papers), Trace Elements in Health (2 papers), Diet, Metabolism, and Disease (1 paper), Genetic Associations and Epidemiology (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Obstetrics and Gynecology (197 citations), Reproductive Medicine (191 citations), Immunology (148 citations), Biochemistry (38 citations) and Endocrinology, Diabetes and Metabolism (102 citations). J. Rajput-Williams has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include D. Stephen Charnock‐Jones, S. K. Smith, Andrew Sharkey, J. Paul Schofield, Shaun Fountain, C. A. Boocock, David Burch, N.E. Miller, Jenny Scott and Norman Williams. Their work appears in journals such as Atherosclerosis, British Journal Of Nutrition, Blood Coagulation & Fibrinolysis, Biology of Reproduction and Journal of Molecular Endocrinology.

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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