Science Explorer Back to mapMap
Discussion
Researcher · King's College London · United Kingdom

Nicola D. Guess

Nicola D. Guess publishes mostly in Endocrinology, Diabetes and Metabolism, Physiology and Public Health, Environmental and Occupational Health, on topics such as Diet and metabolism studies, Diet, Metabolism, and Disease and Diabetes Management and Education.

ORCID 0000-0001-6829-0671 OpenAlex
World rank
#1,713,736
of 7,710,434 ranked researchers
Rank in United Kingdom
#129,022
of 367,258
Works
83
Citations
871
Citations per work
10.5
h-index
16
i10-index 23Top 32% in Endocrinology, Diabetes and Metabolism
Nicola D. Guess

What does Nicola D. Guess research?

Nicola D. Guess's work is mostly in Medicine (48%), Health Professions (7%), Nursing (5%).

Health Sciences: 50 works · 60.6% of their workMedicine: 40 works · 48.1% of their workEndocrinology, Diabetes and Metabolism: 17 works · 20.4% of their workPhysiology: 16 works · 18.8% of their workPublic Health, Environmental and Occupational Health: 7 works · 8.9% of their workHealth Professions: 6 works · 7.3% of their workGeneral Health Professions: 6 works · 7.3% of their workNursing: 4 works · 5.2% of their workNutrition and Dietetics: 4 works · 5.2% of their workEverything else: 28 works · 34.2% of their workSocial Sciences: 4 works · 5.2% of their workPsychology: 4 works · 5.2% of their workExperimental and Cognitive Psychology: 4 works · 5.2% of their workTHEIR WORKNicola D. Guess83works
Health Sciences61%Social Sciences5%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Medicine4048.1%
    2. Health Professions67.3%
    3. Nursing45.2%
  2. Everything else2834.2%
    1. Psychology45.2%
  1. 1Endocrinology, Diabetes and Metabolism20% of their works
  2. 2Physiology19% of their works
  3. 3Public Health, Environmental and Occupational Health9% of their works
  4. 4General Health Professions7% of their works
  5. 5Experimental and Cognitive Psychology5% of their works
  6. 6Nutrition and Dietetics5% of their works

Research topics

Which keywords describe Nicola D. Guess's research?

The keywords of their largest research topics: Metabolic Syndrome, Inflammation, Ketogenic Diet, Low-Carbohydrate Diet, Cardiovascular Disease, Primary Care, Fructose and Insulin Resistance.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 20 words, with their numbers
  1. Metabolic Syndrome645 topics
  2. Inflammation382 topics
  3. Ketogenic Diet281 topic
  4. Low-Carbohydrate Diet281 topic
  5. Cardiovascular Disease242 topics
  6. Primary Care182 topics
  7. Fructose141 topic
  8. Insulin Resistance141 topic
  9. Diabetes111 topic
  10. Self-Management111 topic
  11. Dietary Patterns101 topic
  12. Mediterranean Diet101 topic
  13. Obesity Stigma71 topic
  14. Weight Bias71 topic
  15. Fatigue61 topic
  16. Gestational Diabetes Mellitus61 topic
  17. Maternal Obesity61 topic
  18. Sleep Deprivation61 topic
  19. Environmental Impact51 topic
  20. Sustainable Diets51 topic

Where does Nicola D. Guess work?

Nicola D. Guess's main affiliation in the publication record is King's College London, United Kingdom.

How many publications and citations does Nicola D. Guess have?

OpenAlex counts 83 works and 871 citations for Nicola D. Guess, an h-index of 16, ranking #1,713,736 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

Ask a question or share a note about Nicola D. Guess. Posts are plain text and can be reported.