Katherine G. Moss
- Molecular Biology top 10%
- Oncology top 5%
- Cell Biology top 5%
- Epidemiology
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Elisabeth A. MinthornSylvie LaquerreJingsong YangAlexander LairdJulie M. CherringtonDirk B. MendelMaureen R. BleamDavid Sutton
- Topics
- Melanoma and MAPK Pathways (4 papers)Angiogenesis and VEGF in Cancer (4 papers)Virus-based gene therapy research (3 papers)
- Journals
- BloodPLoS ONECancer Research
- Partner nations
- United StatesSwitzerland
In The Last Decade
Katherine G. Moss
17 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Biology 1.2k
- Oncology 666
- Cell Biology 423
- Epidemiology 228
- Pulmonary and Respiratory Medicine 214
Countries citing papers authored by Katherine G. Moss
This map shows the geographic impact of Katherine G. Moss'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 Katherine G. Moss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine G. Moss more than expected).
Fields of papers citing papers by Katherine G. Moss
This network shows the impact of papers produced by Katherine G. Moss. 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 Katherine G. Moss. The network helps show where Katherine G. Moss may publish in the future.
Co-authorship network of co-authors of Katherine G. Moss
This figure shows the co-authorship network connecting the top 25 collaborators of Katherine G. Moss. A scholar is included among the top collaborators of Katherine G. Moss 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 Katherine G. Moss. Katherine G. Moss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Characterization of a Novel PERK Kinase Inhibitor with Antitumor and Antiangiogenic Activitybreakdown → | 364 |
| 2 | 163 | |
| 3 | 175 | |
| 4 | 459 | |
| 5 | 45 | |
| 6 | 89 | |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 90 | |
| 10 | 62 | |
| 11 | 32 | |
| 12 | Src family kinase activity is required for signal tranducer and activator of transcription 3 and focal adhesion kinase phosphorylation and vascular endothelial growth factor signaling in vivo and for anchorage-dependent and -independent growth of human tumor cells. | 92 |
| 13 | 116 | |
| 14 | 3 | |
| 15 | 84 | |
| 16 | Sustained retroviral gene marking and expression in lymphoid and myeloid cells derived from transduced hematopoietic progenitor cells. | 25 |
| 17 | 87 |
About Katherine G. Moss
Katherine G. Moss is a scholar working on Immunology and Allergy, Oncology and Virology, having authored 17 papers that have together received 1.9k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (4 papers), Angiogenesis and VEGF in Cancer (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Cell Biology (423 citations), Oncology (666 citations) and Molecular Biology (1.2k citations). Katherine G. Moss has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Elisabeth A. Minthorn, Sylvie Laquerre, Jingsong Yang, Alexander Laird, Julie M. Cherrington, Dirk B. Mendel, Maureen R. Bleam, David Sutton, Guangmin Li and Kelly E. Fisher. Their work appears in journals such as Blood, PLoS ONE and Cancer 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.