Divjyot Kaur

1.6k citations
26 papers · 1.1k indexed · h-index 12

Impact in

Papers in

Divjyot Kaur

24 papers receiving 1.0k citations

Peers

Divjyot Kaur
Comparison fields: 5 of 121
  • Health 210
  • Modeling and Simulation 75
  • Endocrinology, Diabetes and Metabolism 204
  • Pharmacy 56
  • Clinical Psychology 217
Replace Uchechukwu Levi Osuagwu with:
Uchechukwu Levi Osuagwu Australia
Henrike Galenkamp Netherlands
Shu‐Fang Shih Taiwan
Sundar S. Shrestha United States
Archana Kumari India
Christoph Junker Switzerland
Mona AuYoung United States
Namvar Zohoori United States
Guneet K. Jasuja United States
Evgeniya Reshetnyak United States
Divjyot Kaur relative to Uchechukwu Levi Osuagwu Australia Uchechukwu Levi Osuagwu's profile →
Citations per field
00.5×2.9×
Uchechukwu Levi Osuagwu · 1×
Citations per year

Countries citing papers authored by Divjyot Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Divjyot Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20232
5 20237
6 20231
7 20222
8 20222
9 20228
10 202138
11 20213
12 202153
13 202128
14 202147
15 202126
16 202080
17 20121
18 201215
19 200565
20 1999458

About Divjyot Kaur

Divjyot Kaur is a scholar working on Pharmacy, Obstetrics and Gynecology, Health, Clinical Psychology and Social Psychology, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (6 papers), Gestational Diabetes Research and Management (5 papers), COVID-19 Pandemic Impacts (4 papers), Psychological Well-being and Life Satisfaction (4 papers), COVID-19 and Mental Health (4 papers), Obesity and Health Practices (4 papers), Vaccine Coverage and Hesitancy (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Health (210 citations), Modeling and Simulation (75 citations), Endocrinology, Diabetes and Metabolism (204 citations), Pharmacy (56 citations) and Clinical Psychology (217 citations). Divjyot Kaur has collaborated with scholars based in India, Singapore and Australia. Frequent co-authors include Piyush Ranjan, Archana Kumari, Naval K. Vikram, Nisar Ahmad, Julie Yallop, Snehal R. Patel, R. Bhopal, Martin White, Anna Tavridou and K. G. M. M. Alberti. Their work appears in journals such as Diabetes & Metabolic Syndrome Clinical Research & Reviews, BMJ Open, Trauma Violence & Abuse, Midwifery and Annals of Human Biology.

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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