Kayvon Pedram
- Molecular Biology top 5%
- Cell Biology top 2%
- Organic Chemistry top 5%
- Oncology top 10%
- Immunology top 10%
- Co-authors
- Carolyn R. BertozziNicholas M. RileySimon WisnovskyGreen AhnSteven M. BanikStacy A. MalakerNamrata D. UdeshiSteven A. Carr
- Topics
- Glycosylation and Glycoproteins Research (13 papers)Carbohydrate Chemistry and Synthesis (4 papers)Cellular transport and secretion (3 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Kayvon Pedram
21 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 2.0k
- Cell Biology 577
- Organic Chemistry 532
- Oncology 390
- Immunology 338
Countries citing papers authored by Kayvon Pedram
This map shows the geographic impact of Kayvon Pedram'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 Kayvon Pedram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kayvon Pedram more than expected).
Fields of papers citing papers by Kayvon Pedram
This network shows the impact of papers produced by Kayvon Pedram. 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 Kayvon Pedram. The network helps show where Kayvon Pedram may publish in the future.
Co-authorship network of co-authors of Kayvon Pedram
This figure shows the co-authorship network connecting the top 25 collaborators of Kayvon Pedram. A scholar is included among the top collaborators of Kayvon Pedram 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 Kayvon Pedram. Kayvon Pedram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 49 | |
| 4 | 35 | |
| 5 | 58 | |
| 6 | 22 | |
| 7 | 11 | |
| 8 | Small RNAs are modified with N-glycans and displayed on the surface of living cellsbreakdown → | 369 |
| 9 | 89 | |
| 10 | 75 | |
| 11 | Lysosome-targeting chimaeras for degradation of extracellular proteinsbreakdown → | 737 |
| 12 | バンプアンドホール工学は生細胞におけるグリコシルトランスフェラーゼの特異的基質を同定する【JST・京大機械翻訳】 | 14 |
| 13 | 43 | |
| 14 | 76 | |
| 15 | The mucin-selective protease StcE enables molecular and functional analysis of human cancer-associated mucinsbreakdown → | 184 |
| 16 | Physical Principles of Membrane Shape Regulation by the Glycocalyxbreakdown → | 185 |
| 17 | 81 | |
| 18 | 112 | |
| 19 | Spatially resolved proteomic mapping in living cells with the engineered peroxidase APEX2breakdown → | 374 |
| 20 | 25 |
About Kayvon Pedram
Kayvon Pedram is a scholar working on Cell Biology, Immunology and Allergy and Molecular Biology, having authored 21 papers that have together received 2.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (13 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Cell Biology (577 citations), Molecular Biology (2.0k citations) and Organic Chemistry (532 citations). Kayvon Pedram has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Carolyn R. Bertozzi, Nicholas M. Riley, Simon Wisnovsky, Green Ahn, Steven M. Banik, Stacy A. Malaker, Namrata D. Udeshi, Steven A. Carr, Alice Y. Ting and Ken H. Loh. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.