K. C. Anderson
- Oncology top 10%
- Molecular Biology
- Hematology top 10%
- Pathology and Forensic Medicine
- Public Health, Environmental and Occupational Health
- Co-authors
- Ralph S. PaffenbargerAlice S. WhittemoreJeffrey E. LeeJerry HalpernYan SongNikhil C. MunshiD ChauhanYT Tai
- Topics
- Multiple Myeloma Research and Treatments (5 papers)Chronic Lymphocytic Leukemia Research (3 papers)Cancer-related Molecular Pathways (3 papers)
- Partner nations
- United StatesSwedenItaly
In The Last Decade
K. C. Anderson
15 papers receiving 402 citations
Peers
Comparison fields: 5 of 58
- Oncology 234
- Molecular Biology 179
- Hematology 70
- Pathology and Forensic Medicine 66
- Public Health, Environmental and Occupational Health 60
Countries citing papers authored by K. C. Anderson
This map shows the geographic impact of K. C. Anderson'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 K. C. Anderson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. C. Anderson more than expected).
Fields of papers citing papers by K. C. Anderson
This network shows the impact of papers produced by K. C. Anderson. 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 K. C. Anderson. The network helps show where K. C. Anderson may publish in the future.
Co-authorship network of co-authors of K. C. Anderson
This figure shows the co-authorship network connecting the top 25 collaborators of K. C. Anderson. A scholar is included among the top collaborators of K. C. Anderson 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 K. C. Anderson. K. C. Anderson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 83 | |
| 2 | CS1 promotes multiple myeloma cell adhesion, clonogenic growth, and tumorigenicity via c-maf-mediated interactions with bone marrow stromal cells (Blood (2009) 113, 18, (4309-4318)) | 5 |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | Functional interaction between retinoblastoma protein and stress-activated protein kinase in multiple myeloma cells. | 24 |
| 9 | Characterization of p16(INK4A) expression in multiple myeloma and plasma cell leukemia. | 29 |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 131 | |
| 14 | Combination chemotherapy for advanced non-Hodgkin's lymphomas other than diffuse histiocytic or undifferentiated histologies. | 26 |
| 15 | 85 | |
| 16 | Phase I trial of mitoxantrone by 24-hour continuous infusion. | 8 |
About K. C. Anderson
K. C. Anderson is a scholar working on Hematology, Oncology and Genetics, having authored 16 papers that have together received 415 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Oncology (234 citations), Hematology (70 citations) and Pathology and Forensic Medicine (66 citations). K. C. Anderson has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Ralph S. Paffenbarger, Alice S. Whittemore, Jeffrey E. Lee, Jerry Halpern, Yan Song, Nikhil C. Munshi, D Chauhan, YT Tai, Jun Qi and S Li. Their work appears in journals such as Journal of Clinical Oncology, Blood and JNCI Journal of the National Cancer Institute.
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.