Ryan J. Weiss
Impact in
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research
-
- Glycosylation and Glycoproteins Research
- CRISPR and Genetic Engineering
- Fibroblast Growth Factor Research
Papers in
-
- Glycosylation and Glycoproteins Research 6
- Fibroblast Growth Factor Research 3
- Studies on Chitinases and Chitosanases 1
- Cell Biology 10
- Proteoglycans and glycosaminoglycans research 10
- Zebrafish Biomedical Research Applications 2
- Hippo pathway signaling and YAP/TAZ 1
- Co-authors
- Jeffrey D. Esko (7 shared papers)Yitzhak Tor (5 shared papers)Philipp N. Spahn (3 shared papers)Nathan E. Lewis (3 shared papers)Tyler Bath (1 shared paper)Jihoon Kim (1 shared paper)Olivier Harismendy (1 shared paper)Amrita Basu (5 shared papers)
- Journals
- Translational Neurodegeneration (2 papers)Organic & Biomolecular Chemistry (1 paper)Genetics (1 paper)Immunology and Cell Biology (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- United StatesFranceMorocco
In The Last Decade
Ryan J. Weiss
13 papers receiving 355 citations
Peers
Comparison fields: 5 of 69
- Cell Biology 151
- Molecular Biology 198
- Internal Medicine 8
- Immunology 47
- Cancer Research 26
Countries citing papers authored by Ryan J. Weiss
This map shows the geographic impact of Ryan J. Weiss'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 Ryan J. Weiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan J. Weiss more than expected).
Fields of papers citing papers by Ryan J. Weiss
This network shows the impact of papers produced by Ryan J. Weiss. 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 Ryan J. Weiss. The network helps show where Ryan J. Weiss may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan J. Weiss, 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 | 2017 | 135 | |
| 2 | 2017 | 64 | |
| 3 | 2014 | 35 | |
| 4 | 2020 | 28 | |
| 5 | 2022 | 28 | |
| 6 | 2015 | 26 | |
| 7 | 2021 | 15 | |
| 8 | 2018 | 15 | |
| 9 | 2025 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2025 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2026 | 0 |
About Ryan J. Weiss
Ryan J. Weiss is a scholar working on Molecular Biology, Cell Biology, Organic Chemistry, Physiology and Surgery, having authored 16 papers that have together received 359 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (10 papers), Glycosylation and Glycoproteins Research (6 papers), Fibroblast Growth Factor Research (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Lysosomal Storage Disorders Research (2 papers), Zebrafish Biomedical Research Applications (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper) and Studies on Chitinases and Chitosanases (1 paper). The work is most often cited by research in Cell Biology (151 citations), Molecular Biology (198 citations), Internal Medicine (8 citations), Immunology (47 citations) and Cancer Research (26 citations). Ryan J. Weiss has collaborated with scholars based in United States, France and Morocco. Frequent co-authors include Jeffrey D. Esko, Yitzhak Tor, Philipp N. Spahn, Nathan E. Lewis, Tyler Bath, Jihoon Kim, Olivier Harismendy, Amrita Basu, Philip L.S.M. Gordts and Saurav De. Their work appears in journals such as Translational Neurodegeneration, Organic & Biomolecular Chemistry, Genetics, Immunology and Cell Biology and Analytical Chemistry.
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.