Devika Gajria
Impact in
Papers in
- Oncology 19
- HER2/EGFR in Cancer Research 15
- Cancer Treatment and Pharmacology 14
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- Advanced Breast Cancer Therapies 7
- Co-authors
- Sarat Chandarlapaty (10 shared papers)Shanu Modi (13 shared papers)Shari Goldfarb (11 shared papers)Mario E. Lacouture (8 shared papers)Donald Chan (3 shared papers)Larry Norton (12 shared papers)Clifford A. Hudis (11 shared papers)Monica Fornier (8 shared papers)
- Journals
- Journal of Clinical Oncology (9 papers)Cancer Research (7 papers)Clinical Breast Cancer (2 papers)Breast Cancer Research and Treatment (2 papers)JAMA Dermatology (2 papers)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Devika Gajria
31 papers receiving 856 citations
Peers
Comparison fields: 5 of 74
- Oncology 536
- Urology 91
- Dermatology 89
- Radiology, Nuclear Medicine and Imaging 190
- Cancer Research 123
Countries citing papers authored by Devika Gajria
This map shows the geographic impact of Devika Gajria'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 Devika Gajria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devika Gajria more than expected).
Fields of papers citing papers by Devika Gajria
This network shows the impact of papers produced by Devika Gajria. 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 Devika Gajria. The network helps show where Devika Gajria may publish in the future.
Co-authors
The 25 scholars most cited alongside Devika Gajria, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 369 | |
| 2 | 2013 | 85 | |
| 3 | 2018 | 72 | |
| 4 | 2014 | 55 | |
| 5 | 2019 | 54 | |
| 6 | 2008 | 44 | |
| 7 | Caspase activation is required for gemcitabine activity in multiple myeloma cell lines. | 2002 | 34 |
| 8 | 2011 | 21 | |
| 9 | 2011 | 19 | |
| 10 | 2011 | 15 | |
| 11 | 2011 | 14 | |
| 12 | 2010 | 11 | |
| 13 | 2016 | 8 | |
| 14 | 2024 | 8 | |
| 15 | 2009 | 8 | |
| 16 | 2019 | 7 | |
| 17 | 2015 | 5 | |
| 18 | 2012 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2013 | 5 |
About Devika Gajria
Devika Gajria is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Dermatology, having authored 31 papers that have together received 867 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (15 papers), Cancer Treatment and Pharmacology (14 papers), Breast Cancer Treatment Studies (7 papers), Advanced Breast Cancer Therapies (7 papers), Hair Growth and Disorders (4 papers), Acute Myeloid Leukemia Research (3 papers), Chemotherapy-related skin toxicity (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Oncology (536 citations), Urology (91 citations), Dermatology (89 citations), Radiology, Nuclear Medicine and Imaging (190 citations) and Cancer Research (123 citations). Devika Gajria has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Sarat Chandarlapaty, Shanu Modi, Shari Goldfarb, Mario E. Lacouture, Donald Chan, Larry Norton, Clifford A. Hudis, Monica Fornier, Jerry Shapiro and Azael Freites‐Martínez. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Clinical Breast Cancer, Breast Cancer Research and Treatment and JAMA 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.