Manijeh Daneshmand
Impact in
- Oncology top 1%
- CAR-T cell therapy research
- Colorectal Cancer Treatments and Studies
- Lung Cancer Research Studies
- HER2/EGFR in Cancer Research
-
- Lung Cancer Treatments and Mutations
Papers in
- Oncology 14
- CAR-T cell therapy research 4
- Cancer-related Molecular Pathways 3
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- Cancer Research and Treatments 3
- Co-authors
- Ian LorimerMing‐Sound TsaoJohn C. BellLesley SeymourGilda da Cunha SantosMarlo WhiteheadSuzanne Kamel‐ReidPaula Marrano
- Journals
- Molecular Therapy (5 papers)Oncotarget (4 papers)Journal of Clinical Oncology (3 papers)Breast Cancer Research (2 papers)Cancer Research (2 papers)
- Partner nations
- CanadaUnited StatesSouth Korea
In The Last Decade
Manijeh Daneshmand
33 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Oncology 2.3k
- Pulmonary and Respiratory Medicine 1.4k
- Genetics 1.1k
- Biotechnology 294
- Cancer Research 474
Countries citing papers authored by Manijeh Daneshmand
This map shows the geographic impact of Manijeh Daneshmand'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 Manijeh Daneshmand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manijeh Daneshmand more than expected).
Fields of papers citing papers by Manijeh Daneshmand
This network shows the impact of papers produced by Manijeh Daneshmand. 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 Manijeh Daneshmand. The network helps show where Manijeh Daneshmand may publish in the future.
Co-authors
The 25 scholars most cited alongside Manijeh Daneshmand, 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 | 2022 | 5 | |
| 2 | 2020 | 4 | |
| 3 | 2018 | 1 | |
| 4 | 2018 | 6 | |
| 5 | 2017 | 41 | |
| 6 | 2016 | 0 | |
| 7 | 2015 | 15 | |
| 8 | 2014 | 120 | |
| 9 | 2014 | 46 | |
| 10 | 2013 | 208 | |
| 11 | 2013 | 128 | |
| 12 | 2012 | 57 | |
| 13 | 2012 | 3 | |
| 14 | 2012 | 2 | |
| 15 | 2011 | 99 | |
| 16 | 2011 | 122 | |
| 17 | 2011 | 161 | |
| 18 | 2011 | 24 | |
| 19 | 2008 | 406 | |
| 20 | Erlotinib in Lung Cancer — Molecular and Clinical Predictors of Outcome Hit paper breakdown → | 2005 | 1483 |
About Manijeh Daneshmand
Manijeh Daneshmand is a scholar working on Oncology, Biotechnology, Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 34 papers that have together received 3.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), CAR-T cell therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Genetic factors in colorectal cancer (3 papers), Cancer Research and Treatments (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related Molecular Pathways (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Oncology (2.3k citations), Pulmonary and Respiratory Medicine (1.4k citations), Genetics (1.1k citations), Biotechnology (294 citations) and Cancer Research (474 citations). Manijeh Daneshmand has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Ian Lorimer, Ming‐Sound Tsao, John C. Bell, Lesley Seymour, Gilda da Cunha Santos, Marlo Whitehead, Suzanne Kamel‐Reid, Paula Marrano, Keyue Ding and Joseph L. Pater. Their work appears in journals such as Molecular Therapy, Oncotarget, Journal of Clinical Oncology, Breast Cancer Research and Cancer Research.
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.