Badaruddoza Badaruddoza

501 total citations
41 papers, 345 citations indexed

About

Badaruddoza Badaruddoza is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and General Health Professions. According to data from OpenAlex, Badaruddoza Badaruddoza has authored 41 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Public Health, Environmental and Occupational Health, 11 papers in Epidemiology and 7 papers in General Health Professions. Recurrent topics in Badaruddoza Badaruddoza's work include Obesity, Physical Activity, Diet (11 papers), Health and Lifestyle Studies (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). Badaruddoza Badaruddoza is often cited by papers focused on Obesity, Physical Activity, Diet (11 papers), Health and Lifestyle Studies (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). Badaruddoza Badaruddoza collaborates with scholars based in India and United States. Badaruddoza Badaruddoza's co-authors include Mohammad Afzal, Harjit Kaur, Mohd Afzal, Raman Kumar, Anupam Kaur, Navneet Kaur, A.J.S. Bhanwer, Kawaljit Matharoo, Sandeep Brar and Ajay Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Gene.

In The Last Decade

Badaruddoza Badaruddoza

37 papers receiving 295 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Badaruddoza Badaruddoza India 11 79 76 76 64 55 41 345
Leila Maria Batista Araújo Brazil 12 77 1.0× 86 1.1× 39 0.5× 135 2.1× 70 1.3× 29 474
Ιωάννα Ντάλλα United Kingdom 11 41 0.5× 121 1.6× 107 1.4× 62 1.0× 76 1.4× 23 363
Muagututi‘a Sefuiva Reupena United States 8 45 0.6× 130 1.7× 121 1.6× 88 1.4× 38 0.7× 32 396
Ying-Jun Mi China 11 39 0.5× 110 1.4× 34 0.4× 50 0.8× 80 1.5× 15 342
Susan V. Smalley Chile 10 27 0.3× 116 1.5× 87 1.1× 54 0.8× 22 0.4× 15 504
Maria Wany Louzada Strufaldi Brazil 12 65 0.8× 113 1.5× 60 0.8× 83 1.3× 15 0.3× 34 399
Chunxiu Gong China 10 26 0.3× 93 1.2× 92 1.2× 36 0.6× 18 0.3× 30 282
Kung‐Ting Kao Australia 13 37 0.5× 110 1.4× 58 0.8× 72 1.1× 17 0.3× 25 368
Özlem Sangün Türkiye 11 32 0.4× 76 1.0× 28 0.4× 34 0.5× 12 0.2× 28 326
Agnieszka Zachurzok Poland 10 22 0.3× 113 1.5× 82 1.1× 33 0.5× 33 0.6× 50 353

Countries citing papers authored by Badaruddoza Badaruddoza

Since Specialization
Citations

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

Fields of papers citing papers by Badaruddoza Badaruddoza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Badaruddoza Badaruddoza

This figure shows the co-authorship network connecting the top 25 collaborators of Badaruddoza Badaruddoza. A scholar is included among the top collaborators of Badaruddoza Badaruddoza based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Badaruddoza Badaruddoza. Badaruddoza Badaruddoza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Badaruddoza, Badaruddoza, et al.. (2024). Genetic association of FTO gene polymorphisms with obesity and its related phenotypes: A case-control study. Journal of Cardiovascular and Thoracic Research. 16(2). 102–112. 1 indexed citations
2.
Badaruddoza, Badaruddoza, et al.. (2024). Association of leptin–melanocortin gene polymorphisms with the risk of obesity in northwest Indian population. SHILAP Revista de lepidopterología. 25(1). 2 indexed citations
3.
Kaur, Tajinder, et al.. (2023). Role of tumor necrosis factor‐alpha ‐238 G>A promoter region polymorphism on recurrent miscarriage: An association study and meta‐analysis. American Journal of Reproductive Immunology. 90(4). e13775–e13775. 1 indexed citations
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Badaruddoza, Badaruddoza, et al.. (2016). Association of tumor necrosis factor-alpha 308G/A polymorphism with recurrent miscarriages in women. Journal of Human Reproductive Sciences. 9(2). 86–89. 10 indexed citations
8.
Badaruddoza, Badaruddoza, et al.. (2015). A case-control association study of K121Q (rs 1044498) and G/T (rs 1225572) variants in ENPP1 and TCF7L2 genes with type 2 diabetes mellitus in north Indian Punjabi population. International Journal of Diabetes in Developing Countries. 35(4). 546–553. 3 indexed citations
9.
Badaruddoza, Badaruddoza, Raman Kumar, & Manpreet Kaur. (2014). Principal component analysis of cardiovascular risk traits in three generations cohort among Indian Punjabi population. Journal of Advanced Research. 6(5). 739–746. 5 indexed citations
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Badaruddoza, Badaruddoza. (2011). Association of Anthropometric and Metabolic Variables with Cardiovascular Disease among Urban and Rural Origin. American Journal of Applied Sciences. 8(10). 953–961. 5 indexed citations
12.
Badaruddoza, Badaruddoza, et al.. (2010). Inter-relationship of waist-to-hip ratio (WHR), body mass index (BMI) and subcutaneous fat with blood pressure among university-going Punjabi Sikh and Hindu females. International Journal of Medicine and Medical Sciences. 2(1). 5–11. 14 indexed citations
13.
Badaruddoza, Badaruddoza, et al.. (2010). Predictor of cardiovascular disease with respect to BMI, WHR and lipid profile in females of three population groups. 2(2). 0–0.
14.
Badaruddoza, Badaruddoza, et al.. (2010). Effect of sex on prevalence of type 2 diabetes mellitus (T2DM) with respect to blood pressure, BMI and WHR among Punjabi population. International Journal of Medicine and Medical Sciences. 2(9). 263–270. 7 indexed citations
15.
Badaruddoza, Badaruddoza, et al.. (2010). Estimation of Familial Association of Blood Pressure with BMI and WHR among Type 2 Diabetic and Non-diabetic Punjabi Population in Punjab, India. 1(1). 2 indexed citations
16.
Badaruddoza, Badaruddoza & Raman Kumar. (2009). Cardiovascular risk factor and familial aggregation of blood pressure with respect to anthropometric variables in a scheduled caste population in Punjab, a North Indian state. Anthropologischer Anzeiger. 67(2). 111–119. 15 indexed citations
17.
Badaruddoza, Badaruddoza & Sharda Sidhu. (2000). Weight, height and body mass index of school children from different social background in North India.. 21(2). 115–118. 1 indexed citations
18.
Badaruddoza, Badaruddoza & Mohammad Afzal. (1999). Age-specific differences in blood pressure among inbred and non-inbred north Indian children. Journal of Biosciences. 24(2). 177–184. 22 indexed citations
19.
Badaruddoza, Badaruddoza, et al.. (1994). Inbreeding and congenital heart diseases in a North Indian population. Clinical Genetics. 45(6). 288–291. 44 indexed citations
20.
Badaruddoza, Badaruddoza & Mohammad Afzal. (1993). Inbreeding depression and intelligence quotient among north Indian children. Behavior Genetics. 23(4). 343–347. 18 indexed citations

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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