Sukhvinder S. Bansal
- Hematology top 2%
- Iron Metabolism and Disorders 23
- Erythropoietin and Anemia Treatment 8
- Genetics top 2%
- Hemoglobinopathies and Related Disorders 19
- Microbiology top 5%
- Pharmaceutical Science top 5%
- Nutrition and Dietetics top 5%
- Trace Elements in Health 9
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- Chemical Synthesis and Analysis 10
- RNA Interference and Gene Delivery 4
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- Mass Spectrometry Techniques and Applications 7
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Robert C. HiderKhuloud T. Al‐JamalVincenzo AbbateIain C. MacdougallAlan EbringerNoelia RubioJulie WangRebecca Klippstein
- Cited by
- HematologyGeneticsMicrobiology
- Journals
- Journal of Biological Chemistry (2 papers)SHILAP Revista de lepidopterología (2 papers)Blood (3 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Sukhvinder S. Bansal
78 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 117
- Hematology 568
- Genetics 399
- Microbiology 132
- Pharmaceutical Science 99
- Nutrition and Dietetics 231
Countries citing papers authored by Sukhvinder S. Bansal
This map shows the geographic impact of Sukhvinder S. Bansal'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 Sukhvinder S. Bansal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukhvinder S. Bansal more than expected).
Fields of papers citing papers by Sukhvinder S. Bansal
This network shows the impact of papers produced by Sukhvinder S. Bansal. 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 Sukhvinder S. Bansal. The network helps show where Sukhvinder S. Bansal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sukhvinder S. Bansal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 35 | |
| 5 | 2019 | 30 | |
| 6 | 2016 | 28 | |
| 7 | 2016 | 22 | |
| 8 | 2016 | 33 | |
| 9 | 2013 | 8 | |
| 10 | 2012 | 23 | |
| 11 | 2012 | 18 | |
| 12 | 2011 | 28 | |
| 13 | 2008 | 37 | |
| 14 | Mass spectrometric quantification of hepcidin in urine and serum | 2007 | 2 |
| 15 | 2006 | 7 | |
| 16 | 2000 | 17 | |
| 17 | The synthesis of [18F]labelled peptides using a solid phase methodology | 1999 | 1 |
| 18 | L-(6,7-dimethoxy-4-coumaryl)alanine: an intrinsic probe for the quantitation of peptides | 1997 | 1 |
| 19 | 1996 | 1 | |
| 20 | Developing an Immunoassay for the anabolic steroid stanazolol | 1995 | 2 |
About Sukhvinder S. Bansal
Sukhvinder S. Bansal is a scholar working on Hematology, Genetics and Molecular Medicine, having authored 82 papers that have together received 2.2k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (23 papers), Hemoglobinopathies and Related Disorders (19 papers), Chemical Synthesis and Analysis (10 papers), Trace Elements in Health (9 papers), Erythropoietin and Anemia Treatment (8 papers), Mass Spectrometry Techniques and Applications (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Hematology (568 citations), Genetics (399 citations) and Microbiology (132 citations). Sukhvinder S. Bansal has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Robert C. Hider, Khuloud T. Al‐Jamal, Vincenzo Abbate, Iain C. Macdougall, Alan Ebringer, Noelia Rubio, Julie Wang, Rebecca Klippstein, Frank J. Ward and N. Harper. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.
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.