Saiphone Webb
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
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- PI3K/AKT/mTOR signaling in cancer
- Pluripotent Stem Cells Research
- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
- RNA and protein synthesis mechanisms
Papers in
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- Hematopoietic Stem Cell Transplantation 3
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- Pluripotent Stem Cells Research 3
- dental development and anomalies 2
- RNA Interference and Gene Delivery 1
- Co-authors
- Gary L. Johnson (5 shared papers)Gordon M. Keller (3 shared papers)Erwin W. Gelfand (3 shared papers)Philip J. Papst (2 shared papers)BP Chen (2 shared papers)Hideki Kawasome (1 shared paper)Naohiro Terada (1 shared paper)Timothy P. Garrington (3 shared papers)
- Journals
- Blood (3 papers)Proceedings of the National Academy of Sciences (2 papers)Stem Cells (1 paper)European Journal of Immunology (1 paper)Journal of Investigative Dermatology (1 paper)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Saiphone Webb
15 papers receiving 679 citations
Peers
Comparison fields: 5 of 68
- Hematology 137
- Molecular Biology 339
- Immunology 80
- Genetics 33
- Cell Biology 34
Countries citing papers authored by Saiphone Webb
This map shows the geographic impact of Saiphone Webb'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 Saiphone Webb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saiphone Webb more than expected).
Fields of papers citing papers by Saiphone Webb
This network shows the impact of papers produced by Saiphone Webb. 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 Saiphone Webb. The network helps show where Saiphone Webb may publish in the future.
Co-authors
The 25 scholars most cited alongside Saiphone Webb, 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 | 1998 | 160 | |
| 2 | 1994 | 106 | |
| 3 | 2003 | 74 | |
| 4 | 2003 | 70 | |
| 5 | 2001 | 65 | |
| 6 | 1995 | 54 | |
| 7 | 2017 | 51 | |
| 8 | 1999 | 36 | |
| 9 | 2005 | 33 | |
| 10 | 2003 | 19 | |
| 11 | 2003 | 16 | |
| 12 | 1994 | 10 | |
| 13 | 2022 | 10 | |
| 14 | 2018 | 4 | |
| 15 | 2023 | 1 |
About Saiphone Webb
Saiphone Webb is a scholar working on Hematology, Molecular Biology, Immunology, Cell Biology and Genetics, having authored 15 papers that have together received 709 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Skin and Cellular Biology Research (2 papers), Genetic and rare skin diseases. (2 papers), Mast cells and histamine (2 papers), dental development and anomalies (2 papers), RNA Interference and Gene Delivery (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Hematology (137 citations), Molecular Biology (339 citations), Immunology (80 citations), Genetics (33 citations) and Cell Biology (34 citations). Saiphone Webb has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Gary L. Johnson, Gordon M. Keller, Erwin W. Gelfand, Philip J. Papst, BP Chen, Hideki Kawasome, Naohiro Terada, Timothy P. Garrington, Weiyong Sun and Reiko Namikawa. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Stem Cells, European Journal of Immunology and Journal of Investigative Dermatology.
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.