Shipra Gandhi
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers 30
- HER2/EGFR in Cancer Research 10
- Cancer Treatment and Pharmacology 8
- Cancer Research top 10%
- Breast Cancer Treatment Studies 19
- Cancer Genomics and Diagnostics 9
- Psychiatry and Mental health top 10%
- Cancer, Stress, Anesthesia, and Immune Response 9
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- Advanced Breast Cancer Therapies 15
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- Immunotherapy and Immune Responses 9
- Co-authors
- Kazuaki TakabeTakashi IshikawaMariko AsaokaElizabeth A. RepaskyMasanori OshiRenuka IyerArya Mariam RoyKristopher Attwood
- Journals
- Journal of Clinical Oncology (15 papers)SHILAP Revista de lepidopterología (2 papers)Blood (3 papers)
- Partner nations
- United StatesJapanSaudi Arabia
In The Last Decade
Shipra Gandhi
80 papers receiving 855 citations
Peers
Comparison fields: 5 of 90
- Oncology 442
- Cancer Research 220
- Psychiatry and Mental health 118
- Pulmonary and Respiratory Medicine 177
- Biological Psychiatry 13
Countries citing papers authored by Shipra Gandhi
This map shows the geographic impact of Shipra Gandhi'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 Shipra Gandhi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shipra Gandhi more than expected).
Fields of papers citing papers by Shipra Gandhi
This network shows the impact of papers produced by Shipra Gandhi. 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 Shipra Gandhi. The network helps show where Shipra Gandhi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shipra Gandhi, 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 | 2024 | 6 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 1 | |
| 13 | 2022 | 17 | |
| 14 | A novel five-gene score to predict complete pathological response to neoadjuvant chemotherapy in ER-positive/HER2-negative breast cancer. | 2021 | 10 |
| 15 | 2020 | 87 | |
| 16 | 2020 | 2 | |
| 17 | 2019 | 43 | |
| 18 | 2017 | 8 | |
| 19 | 2015 | 21 | |
| 20 | 2015 | 9 |
About Shipra Gandhi
Shipra Gandhi is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 89 papers that have together received 868 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (30 papers), Breast Cancer Treatment Studies (19 papers), Advanced Breast Cancer Therapies (15 papers), HER2/EGFR in Cancer Research (10 papers), Cancer, Stress, Anesthesia, and Immune Response (9 papers), Immunotherapy and Immune Responses (9 papers), Cancer Genomics and Diagnostics (9 papers) and Cancer Treatment and Pharmacology (8 papers). The work is most often cited by research in Oncology (442 citations), Cancer Research (220 citations) and Psychiatry and Mental health (118 citations). Shipra Gandhi has collaborated with scholars based in United States, Japan and Saudi Arabia. Frequent co-authors include Kazuaki Takabe, Takashi Ishikawa, Mariko Asaoka, Elizabeth A. Repasky, Masanori Oshi, Renuka Iyer, Arya Mariam Roy, Kristopher Attwood, Christine B. Ambrosone and Elizabeth A. Gage‐Bouchard. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.