Ashish Juvekar
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Oncology top 5%
- PARP inhibition in cancer therapy
- CAR-T cell therapy research
Papers in
-
- Epigenetics and DNA Methylation 2
- Oncology 10
- Cytokine Signaling Pathways and Interactions 4
- PARP inhibition in cancer therapy 2
- Co-authors
- Lewis C. Cantley (6 shared papers)John M. Asara (6 shared papers)Costas A. Lyssiotis (6 shared papers)Gerburg M. Wulf (7 shared papers)Evan C. Lien (3 shared papers)Hai Hu (4 shared papers)Hai Hu (1 shared paper)Alex Toker (1 shared paper)
- Journals
- Blood (3 papers)Clinical Cancer Research (2 papers)Breast Cancer Research (2 papers)Cancer Research (2 papers)Cancer Discovery (1 paper)
- Partner nations
- United StatesTaiwanSouth Korea
In The Last Decade
Ashish Juvekar
22 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 89
- Cancer Research 316
- Oncology 468
- Molecular Biology 804
- Immunology 184
- Reproductive Medicine 67
Countries citing papers authored by Ashish Juvekar
This map shows the geographic impact of Ashish Juvekar'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 Ashish Juvekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish Juvekar more than expected).
Fields of papers citing papers by Ashish Juvekar
This network shows the impact of papers produced by Ashish Juvekar. 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 Ashish Juvekar. The network helps show where Ashish Juvekar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashish Juvekar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 336 | |
| 2 | 2016 | 289 | |
| 3 | 2016 | 202 | |
| 4 | 2011 | 84 | |
| 5 | 2016 | 71 | |
| 6 | 2020 | 70 | |
| 7 | 2020 | 67 | |
| 8 | 2010 | 50 | |
| 9 | 2011 | 49 | |
| 10 | 2008 | 23 | |
| 11 | 2014 | 23 | |
| 12 | 2011 | 10 | |
| 13 | 2011 | 6 | |
| 14 | 2017 | 6 | |
| 15 | 2013 | 5 | |
| 16 | 2018 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2018 | 3 | |
| 19 | 2019 | 2 | |
| 20 | 2014 | 2 |
About Ashish Juvekar
Ashish Juvekar is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Genetics, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (6 papers), Cytokine Signaling Pathways and Interactions (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), BRCA gene mutations in cancer (3 papers), Immune Response and Inflammation (3 papers), Epigenetics and DNA Methylation (2 papers) and PARP inhibition in cancer therapy (2 papers). The work is most often cited by research in Cancer Research (316 citations), Oncology (468 citations), Molecular Biology (804 citations), Immunology (184 citations) and Reproductive Medicine (67 citations). Ashish Juvekar has collaborated with scholars based in United States, Taiwan and South Korea. Frequent co-authors include Lewis C. Cantley, John M. Asara, Costas A. Lyssiotis, Gerburg M. Wulf, Evan C. Lien, Hai Hu, Hai Hu, Alex Toker, Laura N. Burga and Sitharam Ramaswami. Their work appears in journals such as Blood, Clinical Cancer Research, Breast Cancer Research, Cancer Research and Cancer Discovery.
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.