Sukhvinder Sidhu
- Immunology top 2%
- Molecular Biology top 10%
- Physiology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 5%
- Co-authors
- Prescott G. WoodruffJohn V. FahyCarol BasbaumGregory DolganovSheena C. KerrJennifer H. LaVailAndrew N. TauscherJean Yang
- Topics
- Galectins and Cancer Biology (9 papers)Glycosylation and Glycoproteins Research (6 papers)Immunotherapy and Immune Responses (5 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Sukhvinder Sidhu
51 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Immunology 1.3k
- Molecular Biology 1.2k
- Physiology 943
- Pulmonary and Respiratory Medicine 636
- Oncology 577
Countries citing papers authored by Sukhvinder Sidhu
This map shows the geographic impact of Sukhvinder Sidhu'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 Sidhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukhvinder Sidhu more than expected).
Fields of papers citing papers by Sukhvinder Sidhu
This network shows the impact of papers produced by Sukhvinder Sidhu. 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 Sidhu. The network helps show where Sukhvinder Sidhu may publish in the future.
Co-authorship network of co-authors of Sukhvinder Sidhu
This figure shows the co-authorship network connecting the top 25 collaborators of Sukhvinder Sidhu. A scholar is included among the top collaborators of Sukhvinder Sidhu 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 Sukhvinder Sidhu. Sukhvinder Sidhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 4 | |
| 3 | 17 | |
| 4 | 12 | |
| 5 | 28 | |
| 6 | 75 | |
| 7 | 44 | |
| 8 | 317 | |
| 9 | 210 | |
| 10 | Genome-wide profiling identifies epithelial cell genes associated with asthma and with treatment response to corticosteroidsbreakdown → | 626 |
| 11 | 180 | |
| 12 | 46 | |
| 13 | 220 | |
| 14 | 65 | |
| 15 | 148 | |
| 16 | 10 | |
| 17 | 83 | |
| 18 | 39 | |
| 19 | 2 | |
| 20 | CONTROL OF EXPRESSION OF THE H-TYPE-1 HISTO-BLOOD GROUP ANTIGEN IN THE MURINE ENDOMETRIAL EPITHELIUM AND ITS ROLE IN BLASTOCYST ADHESION | 8 |
About Sukhvinder Sidhu
Sukhvinder Sidhu is a scholar working on Immunology, Oncology and Microbiology, having authored 52 papers that have together received 3.2k indexed citations. Recurring topics across this work include Galectins and Cancer Biology (9 papers), Glycosylation and Glycoproteins Research (6 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Immunology (1.3k citations), Immunology and Allergy (261 citations) and Physiology (943 citations). Sukhvinder Sidhu has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Prescott G. Woodruff, John V. Fahy, Carol Basbaum, Gregory Dolganov, Sheena C. Kerr, Jennifer H. LaVail, Andrew N. Tauscher, Jean Yang, Chris Barker and Keith R. Yamamoto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.