Deepa Bhartiya

4.9k citations
121 papers · 2.9k indexed · h-index 32

Impact in

Papers in

Deepa Bhartiya

120 papers receiving 2.8k citations

Peers

Deepa Bhartiya
Comparison fields: 5 of 102
  • Reproductive Medicine 668
  • Public Health, Environmental and Occupational Health 1.0k
  • Genetics 282
  • Molecular Biology 1.7k
  • Aging 27
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Sabine Mazerbourg France
Kelly L. Walton Australia
Lijun Ding China
Yuanqing Yao China
Kotaro Sasaki United States
Zhengjian Yan China
Pellegrino Rossi Italy
Masako Ohmura Japan
Keiichi Isaka Japan
Shlomit Goldman Israel
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Citations per field
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Citations per year

Countries citing papers authored by Deepa Bhartiya

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Bhartiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202216
2 202218
3 202210
4 202111
5 20204
6 202025
7 20193
8 20174
9 201611
10 20155
11 201525
12 201511
13 201535
14
Pluripotent stem cells for cardiac regeneration: Overview of recent advances & emerging trends
20133
15 20139
16 20095
17 200718
18
Clinical experience with the use of Fluorescence in Situ Hybridization on uncultured cells for prenatal diagnosis
20021
19
Preliminary studies on IL-6 levels in healthy and septic Indian neonates.
200011
20 19918

About Deepa Bhartiya

Deepa Bhartiya is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Molecular Biology, Genetics and Immunology, having authored 121 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (64 papers), Reproductive Biology and Fertility (39 papers), Renal and related cancers (36 papers), Cancer Cells and Metastasis (14 papers), Sperm and Testicular Function (14 papers), Tissue Engineering and Regenerative Medicine (12 papers), Mesenchymal stem cell research (10 papers) and Pancreatic function and diabetes (10 papers). The work is most often cited by research in Reproductive Medicine (668 citations), Public Health, Environmental and Occupational Health (1.0k citations), Genetics (282 citations), Molecular Biology (1.7k citations) and Aging (27 citations). Deepa Bhartiya has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Hiren Patel, Sandhya Anand, Seema Parte, Kalpana Sriraman, Hynda K. Kleinman, Pushpa Singh, Deepak Modi, Sreepoorna Unni, Diksha Sharma and Ankita Kaushik. Their work appears in journals such as Journal of Ovarian Research, Stem Cell Research & Therapy, The Indian Journal of Medical Research, Reproductive Sciences and Reproduction.

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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