Day N

763 citations
10 papers · 562 · h-index 7

Impact in

Papers in

Day N

8 papers receiving 542 citations

Peers

Day N
Comparison fields: 5 of 99
  • Public Health, Environmental and Occupational Health 338
  • Nutrition and Dietetics 128
  • Biochemistry 28
  • Physiology 116
  • Medical Terminology 1
Replace Miguel Ramos with:
Miguel Ramos Canada
James E. Moler United States
J Haubrock Germany
Larraitz Arriola Spain
Conchi Moreno‐Iribas Spain
Larry Bell United States
E. Hermann-Kunz Germany
Nena Karavasiloglou Switzerland
Nicolas Sauvageot Luxembourg
Yannis Skoumas Greece
Day N relative to Miguel Ramos Canada Miguel Ramos's profile →
Citations per field
00.5×1.5×2.5×
Miguel Ramos · 1×
Citations per year

Countries citing papers authored by Day N

Since Specialization
Citations

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

Fields of papers citing papers by Day N

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Day N, 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 Day N Line = papers co-authored together Day N links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2001300
2 200886
3 200467
4
Molecular and epidemiological approaches to the etiology of urinary tract tumors in an area with Balkan endemic nephropathy.
199635
5 200334
6 201927
7
Larynx cancer risk factors.
198712
8
Fat distribution and risk of coronary heart disease in men and women in the EPIC-Norfolk cohort: a population-based prospective study with 2,590 cases and 233,525 person-years of follow-up
20061
9
Issues in software selection for radiology department management.
19870
10
The medical record. Your best friend or worst enemy?
19980

About Day N

Day N is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging, Nutrition and Dietetics and Infectious Diseases, having authored 10 papers that have together received 562 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (3 papers), Obesity, Physical Activity, Diet (3 papers), Consumer Attitudes and Food Labeling (2 papers), Multiple and Secondary Primary Cancers (1 paper), Medical Coding and Health Information (1 paper), Nephrotoxicity and Medicinal Plants (1 paper), Clostridium difficile and Clostridium perfringens research (1 paper) and Nutrition, Health and Food Behavior (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (338 citations), Nutrition and Dietetics (128 citations), Biochemistry (28 citations), Physiology (116 citations) and Medical Terminology (1 citation). Day N has collaborated with scholars based in United Kingdom, Morocco and France. Frequent co-authors include Sheila Bingham, Ailsa Welch, Robert Luben, K.-T. Khaw, Nicholas J. Wareham, M. Castegnaro, Pat Ansell, O B Eden, Jill Simpson and Carolyn Gill. Their work appears in journals such as International Journal of Epidemiology, British Journal of Cancer, Clinical Microbiology and Infection, Research Explorer (The University of Manchester) and PubMed.

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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