Bhawna Singh
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Epidemiology
- Hematology top 10%
- Co-authors
- V. MallikaRanjna ChawlaBinita GoswamiSarika AroraAlka KriplaniSanjeev GuptaAnju SinghHimanshu Ojha
- Topics
- Iron Metabolism and Disorders (4 papers)Clinical Laboratory Practices and Quality Control (4 papers)Meta-analysis and systematic reviews (3 papers)
- Cited by
- Medical Laboratory TechnologyEndocrinology, Diabetes and MetabolismStatistics, Probability and Uncertainty
- Journals
- SHILAP Revista de lepidopterologíaBloodJournal of Cell Science
- Partner nations
- IndiaUnited KingdomUnited Arab Emirates
In The Last Decade
Bhawna Singh
42 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Physiology 319
- Endocrinology, Diabetes and Metabolism 275
- Molecular Biology 206
- Epidemiology 169
- Hematology 123
Countries citing papers authored by Bhawna Singh
This map shows the geographic impact of Bhawna Singh'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 Bhawna Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bhawna Singh more than expected).
Fields of papers citing papers by Bhawna Singh
This network shows the impact of papers produced by Bhawna Singh. 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 Bhawna Singh. The network helps show where Bhawna Singh may publish in the future.
Co-authorship network of co-authors of Bhawna Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Bhawna Singh. A scholar is included among the top collaborators of Bhawna Singh 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 Bhawna Singh. Bhawna Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | In Silico Drug Repositioning Of Hydroxychloroquine (HCQ) For the Treatment of Viral Diseases | 1 |
| 4 | 0 | |
| 5 | Relative Entropy and Mutual Information on a Quantum Logic | 1 |
| 6 | 2 | |
| 7 | BURDEN OF VITAMIN B12 DEFICIENCY IN URBAN POPULATION IN DELHI, INDIA: A HOSPITAL BASED STUDY | 9 |
| 8 | 57 | |
| 9 | 5 | |
| 10 | 57 | |
| 11 | 81 | |
| 12 | 28 | |
| 13 | 53 | |
| 14 | 13 | |
| 15 | 36 | |
| 16 | 23 | |
| 17 | 2 | |
| 18 | 11 | |
| 19 | 3 | |
| 20 | 4 |
About Bhawna Singh
Bhawna Singh is a scholar working on Hematology, Statistics, Probability and Uncertainty and Obstetrics and Gynecology, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (4 papers), Clinical Laboratory Practices and Quality Control (4 papers) and Meta-analysis and systematic reviews (3 papers). The work is most often cited by research in Medical Laboratory Technology (33 citations), Endocrinology, Diabetes and Metabolism (275 citations) and Statistics, Probability and Uncertainty (104 citations). Bhawna Singh has collaborated with scholars based in India, United Kingdom and United Arab Emirates. Frequent co-authors include V. Mallika, Ranjna Chawla, Binita Goswami, Sarika Arora, Alka Kriplani, Sanjeev Gupta, Anju Singh, Himanshu Ojha, Vinod Kumar Gupta and Mallika Pathak. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Journal of Cell Science.
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.