Dattatray Bhat

3.5k total citations · 1 hit paper
60 papers, 2.4k citations indexed

About

Dattatray Bhat is a scholar working on Pediatrics, Perinatology and Child Health, Rheumatology and Obstetrics and Gynecology. According to data from OpenAlex, Dattatray Bhat has authored 60 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Pediatrics, Perinatology and Child Health, 20 papers in Rheumatology and 15 papers in Obstetrics and Gynecology. Recurrent topics in Dattatray Bhat's work include Birth, Development, and Health (30 papers), Folate and B Vitamins Research (20 papers) and Gestational Diabetes Research and Management (13 papers). Dattatray Bhat is often cited by papers focused on Birth, Development, and Health (30 papers), Folate and B Vitamins Research (20 papers) and Gestational Diabetes Research and Management (13 papers). Dattatray Bhat collaborates with scholars based in India, United Kingdom and United States. Dattatray Bhat's co-authors include Chittaranjan S. Yajnik, Caroline Fall, Himangi Lubree, Sadanand Naik, Helga Refsum, Swapna Deshpande, Sonali Rege, Charudatta Joglekar, Niranjan Joshi and Vaishali Deshpande and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Dattatray Bhat

59 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Vitamin B12 and folate concentrations during pregnancy and insulin resistance in the offspring: the Pune Maternal Nutrition Study

2007 568 citations Chittaranjan S. Yajnik, Swapna Deshpande et al. Diabetologia profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dattatray Bhat India	24	1.1k	952	783	397	381	60	2.4k
Sadanand Naik India	20	731 0.6×	796 0.8×	466 0.6×	342 0.9×	336 0.9×	46	1.9k
Charudatta Joglekar India	21	1.5k 1.4×	530 0.6×	842 1.1×	743 1.9×	479 1.3×	38	2.6k
Sonali Rege India	12	883 0.8×	555 0.6×	583 0.7×	403 1.0×	278 0.7×	12	1.7k
S. R. Veena United Kingdom	24	1.2k 1.0×	365 0.4×	932 1.2×	635 1.6×	268 0.7×	60	2.3k
Mary Conley United States	31	1.3k 1.1×	2.0k 2.2×	1.2k 1.5×	386 1.0×	128 0.3×	63	3.6k
Germán Íñiguez Chile	28	1.4k 1.2×	87 0.1×	764 1.0×	791 2.0×	422 1.1×	102	2.9k
Yvonne Lamers Canada	23	304 0.3×	781 0.8×	256 0.3×	219 0.6×	165 0.4×	58	1.4k
Kedra Wallace United States	33	1.6k 1.4×	153 0.2×	2.5k 3.2×	630 1.6×	79 0.2×	104	3.4k
Gail Kauwell United States	21	284 0.3×	997 1.0×	182 0.2×	323 0.8×	224 0.6×	44	1.6k
R. Stone United Kingdom	7	1.4k 1.3×	2.5k 2.7×	1.0k 1.3×	885 2.2×	183 0.5×	9	3.8k

Countries citing papers authored by Dattatray Bhat

Since Specialization

Citations

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

Fields of papers citing papers by Dattatray Bhat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dattatray Bhat

This figure shows the co-authorship network connecting the top 25 collaborators of Dattatray Bhat. A scholar is included among the top collaborators of Dattatray Bhat 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 Dattatray Bhat. Dattatray Bhat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ray, Arpita, Dattatray Bhat, Rubina Mulchandani, et al.. (2025). Non-autoimmune diabetes in young people from Assam, India: the PHENOEINDY-2 study. Diabetologia. 68(10). 2179–2193. 1 indexed citations

Bhat, Dattatray, Kalyanaraman Kumaran, Caroline Fall, et al.. (2023). Differential expression of genes influencing mitotic processes in cord blood mononuclear cells after a pre-conceptional micronutrient-based randomised controlled trial: Pune Rural Intervention in Young Adolescents (PRIYA). Journal of Developmental Origins of Health and Disease. 14(3). 437–448. 1 indexed citations

Sahariah, Sirazul A., Meera Gandhi, Harsha Chopra, et al.. (2022). Body Composition and Cardiometabolic Risk Markers in Children of Women who Took Part in a Randomized Controlled Trial of a Preconceptional Nutritional Intervention in Mumbai, India. Journal of Nutrition. 152(4). 1070–1081. 5 indexed citations

Joglekar, Mugdha V., Wilson K. M. Wong, Dattatray Bhat, et al.. (2022). Circulating microRNAs from early childhood and adolescence are associated with pre-diabetes at 18 years of age in women from the PMNS cohort. Journal of Developmental Origins of Health and Disease. 13(6). 806–811. 4 indexed citations

Upadhya, Manoj A., Dattatray Bhat, Nishikant K. Subhedar, et al.. (2021). Transient systemic inflammation in adult male mice results in underweight progeny. American Journal of Reproductive Immunology. 86(1). e13401–e13401. 14 indexed citations

Lubree, Himangi, et al.. (2021). Efficacy of B ₁₂ Fortified Nutrient Bar and Yogurt in Improving Plasma B12 Concentrations—Results From 2 Double-Blind Randomized Placebo Controlled Trials. Food and Nutrition Bulletin. 42(4). 480–489. 4 indexed citations

Bhat, Dattatray, et al.. (2020). Dietary diversity scores, nutrient intakes and biomarkers vitamin B₁₂, folate and Hb in rural youth from the Pune Maternal Nutrition Study. British Journal Of Nutrition. 126(2). 236–243. 15 indexed citations

Wiley, Andrea S., et al.. (2018). IGF-I and IGFBP-3 concentrations at 2 years: associations with anthropometry and milk consumption in an Indian cohort. European Journal of Clinical Nutrition. 72(4). 564–571. 16 indexed citations

Krishna, Murali, Gurinder Mohan, S. R. Veena, et al.. (2017). Birth size, risk factors across life and cognition in late life: protocol of prospective longitudinal follow-up of the MYNAH (MYsore studies of Natal effects on Ageing and Health) cohort. BMJ Open. 7(2). e012552–e012552. 7 indexed citations

10.

Coyaji, Kurus, et al.. (2015). Association of Maternal Vitamin C Status with Gestational Diabetes Mellitus. SHILAP Revista de lepidopterología. 3 indexed citations

11.

Kehoe, Sarah H, Harsha Chopra, Sirazul A. Sahariah, et al.. (2015). Effects of a food-based intervention on markers of micronutrient status among Indian women of low socio-economic status. British Journal Of Nutrition. 113(5). 813–821. 13 indexed citations

12.

Hardikar, Anandwardhan A., Mahesh Karandikar, Mugdha V. Joglekar, et al.. (2015). Multigenerational Undernutrition Increases Susceptibility to Obesity and Diabetes that Is Not Reversed after Dietary Recuperation. Cell Metabolism. 22(2). 312–319. 67 indexed citations

13.

Joshi, Suyog M., Dattatray Bhat, Prachi Katre, et al.. (2012). Spuriously High Prevalence of Prediabetes Diagnosed by HbA1c in Young Indians Partly Explained by Hematological Factors and Iron Deficiency Anemia. Diabetes Care. 35(4). 797–802. 87 indexed citations

14.

Naik, Sadanand, Dattatray Bhat, Himangi Lubree, et al.. (2011). Marked Gender Difference in Plasma Total Homocysteine Concentrations in Indian Adults with low Vitamin B₁₂. International Journal for Vitamin and Nutrition Research. 81(5). 306–316. 13 indexed citations

15.

Yajnik, Chittaranjan S., Charudatta Joglekar, Mehmood G. Sayyad, et al.. (2011). Conventional and novel cardiovascular risk factors and markers of vascular damage in rural and urban Indian men. International Journal of Cardiology. 165(2). 255–259. 8 indexed citations

16.

Deshmukh, Urmila, Himangi Lubree, Prachi Katre, et al.. (2011). Vitamin B12 and folate during pregnancy and offspring motor, mental and social development at 2 years of age. Journal of Developmental Origins of Health and Disease. 3(2). 123–130. 29 indexed citations

17.

Krishnaveni, Ghattu V., J. C. Hill, S. R. Veena, et al.. (2009). Low plasma vitamin B12 in pregnancy is associated with gestational ‘diabesity’ and later diabetes. Diabetologia. 52(11). 2350–2358. 157 indexed citations

18.

Yajnik, Chittaranjan S., Swapna Deshpande, Alan A. Jackson, et al.. (2007). Vitamin B12 and folate concentrations during pregnancy and insulin resistance in the offspring: the Pune Maternal Nutrition Study. Diabetologia. 51(1). 29–38. 568 indexed citations breakdown →

19.

Seldin, Michael F., D. M. Mott, Dattatray Bhat, et al.. (1994). Glycogen synthase: a putative locus for diet-induced hyperglycemia.. Journal of Clinical Investigation. 94(1). 269–276. 29 indexed citations

20.

Yajnik, Chittaranjan S., et al.. (1993). The Relationship Between Obesity, Plasma Immunoreactive Insulin Concentration and Blood Pressure in Newly Diagnosed Indian Type 2 Diabetic Patients. Diabetic Medicine. 10(2). 146–151. 9 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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