Upendra Yadav

799 total citations
28 papers, 462 citations indexed

About

Upendra Yadav is a scholar working on Rheumatology, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Upendra Yadav has authored 28 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Rheumatology, 9 papers in Pediatrics, Perinatology and Child Health and 6 papers in Molecular Biology. Recurrent topics in Upendra Yadav's work include Folate and B Vitamins Research (16 papers), Prenatal Screening and Diagnostics (7 papers) and Iron Metabolism and Disorders (4 papers). Upendra Yadav is often cited by papers focused on Folate and B Vitamins Research (16 papers), Prenatal Screening and Diagnostics (7 papers) and Iron Metabolism and Disorders (4 papers). Upendra Yadav collaborates with scholars based in India. Upendra Yadav's co-authors include Vandana Rai, Pradeep Kumar, Sushil Yadav, Sanjay Gupta, Om P. Mishra, Pradeep Kumar, Bindey Kumar and Rashmi Sinha and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nutrition and Cancer.

In The Last Decade

Upendra Yadav

26 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Upendra Yadav India 13 276 148 83 78 73 28 462
Lihong Xin China 14 216 0.8× 47 0.3× 74 0.9× 38 0.5× 37 0.5× 28 510
Jessica Davison United States 7 111 0.4× 175 1.2× 193 2.3× 47 0.6× 50 0.7× 9 529
Sophia Stone United Kingdom 10 134 0.5× 62 0.4× 38 0.5× 92 1.2× 38 0.5× 23 432
Francesca Anna Letizia Strigini Italy 16 226 0.8× 154 1.0× 36 0.4× 160 2.1× 43 0.6× 40 726
Grażyna Kurzawińska Poland 10 49 0.2× 95 0.6× 37 0.4× 116 1.5× 37 0.5× 55 344
C Zara Italy 13 61 0.2× 48 0.3× 32 0.4× 91 1.2× 79 1.1× 31 443
Shiguo Liu China 12 41 0.1× 63 0.4× 155 1.9× 109 1.4× 40 0.5× 45 455
Raymond P. Naden United States 13 106 0.4× 139 0.9× 45 0.5× 194 2.5× 48 0.7× 21 561
Vivekanand Singh United States 13 35 0.1× 69 0.5× 54 0.7× 28 0.4× 151 2.1× 46 429
Peter Johansson Sweden 9 73 0.3× 215 1.5× 60 0.7× 90 1.2× 19 0.3× 16 470

Countries citing papers authored by Upendra Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Upendra Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Upendra Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Upendra Yadav. A scholar is included among the top collaborators of Upendra Yadav 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 Upendra Yadav. Upendra Yadav 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.
2.
Yadav, Upendra, et al.. (2022). A Study of Thyroid Profile (FT3, FT4, TSH) in Liver Cirrhosis in Jharkhand - A Hospital based Study. International Journal of Current Research and Review. 14(6). 95–100.
3.
Yadav, Upendra, Pradeep Kumar, & Vandana Rai. (2021). FokI polymorphism of the vitamin D receptor (VDR) gene and susceptibility to tuberculosis: Evidence through a meta-analysis. Infection Genetics and Evolution. 92. 104871–104871. 11 indexed citations
4.
Yadav, Upendra, Pradeep Kumar, & Vandana Rai. (2021). Interleukin-10 (IL-10) gene polymorphisms and prostate cancer susceptibility: Evidence from a meta-analysis. Gene Reports. 25. 101377–101377. 5 indexed citations
5.
Yadav, Upendra, Pradeep Kumar, & Vandana Rai. (2020). Vitamin D receptor (VDR) gene FokI, BsmI, ApaI, and TaqI polymorphisms and osteoporosis risk: a meta-analysis. SHILAP Revista de lepidopterología. 21(1). 15 indexed citations
6.
Yadav, Upendra, Pradeep Kumar, & Vandana Rai. (2020). Maternal biomarkers for early prediction of the neural tube defects pregnancies. Birth Defects Research. 113(7). 589–600. 16 indexed citations
7.
Yadav, Upendra, Pradeep Kumar, & Vandana Rai. (2019). Distribution of Methionine Synthase Reductase (MTRR) Gene A66G Polymorphism in Indian Population. Indian Journal of Clinical Biochemistry. 36(1). 23–32. 9 indexed citations
8.
Yadav, Upendra, Pradeep Kumar, & Vandana Rai. (2018). “NQO1Gene C609T Polymorphism (dbSNP: rs1800566) and Digestive Tract Cancer Risk: A Meta-Analysis.”. Nutrition and Cancer. 70(4). 557–568. 28 indexed citations
9.
Kumar, Pradeep, Upendra Yadav, & Vandana Rai. (2017). Prevalence of COMT Val158Met polymorphism in Eastern UP population. Cellular and Molecular Biology. 63(6). 21–24. 5 indexed citations
10.
Rai, Vandana, Upendra Yadav, Pradeep Kumar, Sushil Yadav, & Sanjay Gupta. (2017). Methylenetetrahydrofolate reductase A1298C genetic variant & risk of schizophrenia. The Indian Journal of Medical Research. 145(4). 437–447. 18 indexed citations
11.
Rai, Vandana, Upendra Yadav, & Pradeep Kumar. (2017). Impact of Catechol-O-Methyltransferase Val 158Met (rs4680) Polymorphism on Breast Cancer Susceptibility in Asian Population. PubMed. 18(5). 1243–1250. 12 indexed citations
12.
Yadav, Upendra, Pradeep Kumar, Sanjay Gupta, & Vandana Rai. (2016). Distribution of MTHFR C677T Gene Polymorphism in Healthy North Indian Population and an Updated Meta-analysis. Indian Journal of Clinical Biochemistry. 32(4). 399–410. 33 indexed citations
13.
Yadav, Upendra, Pradeep Kumar, Sanjay Gupta, & Vandana Rai. (2016). Role of MTHFR C677T gene polymorphism in the susceptibility of schizophrenia: An updated meta-analysis. Asian Journal of Psychiatry. 20. 41–51. 44 indexed citations
14.
Kumar, Pradeep, Upendra Yadav, & Vandana Rai. (2015). Methylenetetrahydrofolate reductase gene C677T polymorphism and breast cancer risk: Evidence for genetic susceptibility. Meta Gene. 6. 72–84. 35 indexed citations
15.
Yadav, Upendra, Pradeep Kumar, & Vandana Rai. (2015). Role of MTHFR A1298C gene polymorphism in the etiology of prostate cancer: A systematic review and updated meta-analysis. SHILAP Revista de lepidopterología. 17(2). 141–148. 17 indexed citations
16.
Yadav, Upendra, Pradeep Kumar, Sushil Yadav, Om P. Mishra, & Vandana Rai. (2014). “Polymorphisms in folate metabolism genes as maternal risk factor for neural tube defects: an updated meta-analysis”. Metabolic Brain Disease. 30(1). 7–24. 54 indexed citations
17.
Rai, Vandana, et al.. (2014). Methylenetetrahydrofolate reductase polymorphism is not risk factor for Down syndrome in North India. Indian journal of human genetics. 20(2). 142–142. 4 indexed citations
18.
Rai, Vandana, et al.. (2014). Maternal Methylenetetrahydrofolate Reductase C677T Polymorphism and Down Syndrome Risk: A Meta-Analysis from 34 Studies. PLoS ONE. 9(9). e108552–e108552. 45 indexed citations
19.
Rai, Vandana, et al.. (2013). Analysis of methionine synthase reductase polymorphism (A66G) in Indian Muslim population. Indian journal of human genetics. 19(2). 183–183. 13 indexed citations
20.
Rai, Vandana, Pradeep Kumar, & Upendra Yadav. (2012). Prevalence of methylenetetrahydrofolate reductase C677T polymorphism in eastern Uttar Pradesh. Indian journal of human genetics. 18(1). 43–43. 17 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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