Ruth LaPushin
Impact in
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer
- Sphingolipid Metabolism and Signaling
- Protein Kinase Regulation and GTPase Signaling
- Cell death mechanisms and regulation
- Immunology top 5%
Papers in
- Immunology 16
- Immune Cell Function and Interaction 5
- Immunodeficiency and Autoimmune Disorders 4
- Genetics 7
- Chronic Lymphocytic Leukemia Research 6
- Co-authors
- Gordon B. MillsYiling LuXianjun FangRobert C. BastMuling MaoBharat B. AggarwalBruce D. CuevasKathy Siminovitch
- Journals
- Biochemical Journal (5 papers)Journal of Biological Chemistry (5 papers)Blood (3 papers)Journal of Interferon & Cytokine Research (2 papers)Journal of Immunotherapy (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Ruth LaPushin
36 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.6k
- Immunology 461
- Oncology 547
- Biochemistry 140
- Cell Biology 310
Countries citing papers authored by Ruth LaPushin
This map shows the geographic impact of Ruth LaPushin'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 Ruth LaPushin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruth LaPushin more than expected).
Fields of papers citing papers by Ruth LaPushin
This network shows the impact of papers produced by Ruth LaPushin. 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 Ruth LaPushin. The network helps show where Ruth LaPushin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruth LaPushin, 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 | 2012 | 5 | |
| 2 | 2009 | 1 | |
| 3 | 2007 | 6 | |
| 4 | Identification of selective inhibition of phospho-S6 ribosomal protein in XK469 sensitive leukemia cell lines using functional proteomic analysis | 2005 | 2 |
| 5 | 2004 | 164 | |
| 6 | 2004 | 83 | |
| 7 | 2004 | 40 | |
| 8 | 2003 | 123 | |
| 9 | 2003 | 48 | |
| 10 | 2002 | 17 | |
| 11 | 2001 | 212 | |
| 12 | 2000 | 32 | |
| 13 | 1999 | 262 | |
| 14 | 1998 | 29 | |
| 15 | 1996 | 13 | |
| 16 | 1995 | 43 | |
| 17 | 1995 | 31 | |
| 18 | 1995 | 122 | |
| 19 | 1993 | 5 | |
| 20 | 1987 | 10 |
About Ruth LaPushin
Ruth LaPushin is a scholar working on Immunology, Genetics, Aging, Pathology and Forensic Medicine and Cell Biology, having authored 36 papers that have together received 2.3k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (8 papers), Sphingolipid Metabolism and Signaling (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Immune Cell Function and Interaction (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Immunodeficiency and Autoimmune Disorders (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Immunology (461 citations), Oncology (547 citations), Biochemistry (140 citations) and Cell Biology (310 citations). Ruth LaPushin has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Gordon B. Mills, Yiling Lu, Xianjun Fang, Robert C. Bast, Muling Mao, Bharat B. Aggarwal, Bruce D. Cuevas, Kathy Siminovitch, Tatsuro Furui and Shuangxing Yu. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, Blood, Journal of Interferon & Cytokine Research and Journal of Immunotherapy.
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.