Hiren J. Joshi
- Molecular Biology top 2%
- Immunology top 5%
- Organic Chemistry top 2%
- Cell Biology top 5%
- Spectroscopy top 2%
- Co-authors
- Henrik ClausenKatrine T. SchjoldagerYoshiki NarimatsuSergey Y. VakhrushevHans H. WandallEric BennettCatharina SteentoftSteven B. Levery
- Topics
- Glycosylation and Glycoproteins Research (35 papers)Carbohydrate Chemistry and Synthesis (15 papers)Galectins and Cancer Biology (11 papers)
- Partner nations
- DenmarkUnited StatesGermany
In The Last Decade
Hiren J. Joshi
47 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 3.0k
- Immunology 914
- Organic Chemistry 818
- Cell Biology 428
- Spectroscopy 409
Countries citing papers authored by Hiren J. Joshi
This map shows the geographic impact of Hiren J. Joshi'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 Hiren J. Joshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiren J. Joshi more than expected).
Fields of papers citing papers by Hiren J. Joshi
This network shows the impact of papers produced by Hiren J. Joshi. 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 Hiren J. Joshi. The network helps show where Hiren J. Joshi may publish in the future.
Co-authorship network of co-authors of Hiren J. Joshi
This figure shows the co-authorship network connecting the top 25 collaborators of Hiren J. Joshi. A scholar is included among the top collaborators of Hiren J. Joshi 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 Hiren J. Joshi. Hiren J. Joshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Enhanced sensitivity and scalability with a Chip-Tip workflow enables deep single-cell proteomicsbreakdown → | 22 |
| 2 | 1 | |
| 3 | 21 | |
| 4 | 17 | |
| 5 | 12 | |
| 6 | Global view of human protein glycosylation pathways and functionsbreakdown → | 836 |
| 7 | 52 | |
| 8 | 22 | |
| 9 | 37 | |
| 10 | 78 | |
| 11 | 24 | |
| 12 | 56 | |
| 13 | 46 | |
| 14 | 90 | |
| 15 | 74 | |
| 16 | 42 | |
| 17 | Precision mapping of the human O‐GalNAc glycoproteome through SimpleCell technologybreakdown → | 1091 |
| 18 | 4 | |
| 19 | 14 | |
| 20 | 74 |
About Hiren J. Joshi
Hiren J. Joshi is a scholar working on Molecular Biology, Organic Chemistry and Immunology, having authored 48 papers that have together received 3.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (35 papers), Carbohydrate Chemistry and Synthesis (15 papers) and Galectins and Cancer Biology (11 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Immunology (914 citations) and Organic Chemistry (818 citations). Hiren J. Joshi has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Henrik Clausen, Katrine T. Schjoldager, Yoshiki Narimatsu, Sergey Y. Vakhrushev, Hans H. Wandall, Eric Bennett, Catharina Steentoft, Steven B. Levery, Malene Bech Vester-Christensen and Yun Kong. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.