Danielle Mandikian
Impact in
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- Neuroscience and Neuropharmacology Research
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Ion channel regulation and function 4
- Glycosylation and Glycoproteins Research 2
- Kruppel-like factors research 1
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- Monoclonal and Polyclonal Antibodies Research 8
- Co-authors
- James S. Trimmer (4 shared papers)Hannah I. Bishop (3 shared papers)Ryuichi Shigemoto (2 shared papers)Laxmi Kumar Parajuli (2 shared papers)Sandra Afione (1 shared paper)Michael Schmidt (1 shared paper)Changyu Zheng (1 shared paper)Antonis Voutetakis (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (4 papers)mAbs (3 papers)Scientific Reports (1 paper)Genes Brain & Behavior (1 paper)The Journal of Comparative Neurology (1 paper)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Danielle Mandikian
16 papers receiving 693 citations
Peers
Comparison fields: 5 of 92
- Cellular and Molecular Neuroscience 183
- Radiology, Nuclear Medicine and Imaging 154
- Molecular Biology 393
- Genetics 155
- Oncology 145
Countries citing papers authored by Danielle Mandikian
This map shows the geographic impact of Danielle Mandikian'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 Danielle Mandikian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Mandikian more than expected).
Fields of papers citing papers by Danielle Mandikian
This network shows the impact of papers produced by Danielle Mandikian. 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 Danielle Mandikian. The network helps show where Danielle Mandikian may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Mandikian, 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 | 2018 | 197 | |
| 2 | 2007 | 119 | |
| 3 | 2018 | 112 | |
| 4 | 2014 | 92 | |
| 5 | 2014 | 51 | |
| 6 | 2019 | 40 | |
| 7 | 2019 | 19 | |
| 8 | 2018 | 18 | |
| 9 | 2019 | 14 | |
| 10 | 2020 | 11 | |
| 11 | 2018 | 10 | |
| 12 | 2018 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 4 | |
| 15 | 2017 | 4 | |
| 16 | 2018 | 3 | |
| 17 | 2025 | 0 |
About Danielle Mandikian
Danielle Mandikian is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 711 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Ion channel regulation and function (4 papers), HER2/EGFR in Cancer Research (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), CAR-T cell therapy research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Kruppel-like factors research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (183 citations), Radiology, Nuclear Medicine and Imaging (154 citations), Molecular Biology (393 citations), Genetics (155 citations) and Oncology (145 citations). Danielle Mandikian has collaborated with scholars based in United States, France and Japan. Frequent co-authors include James S. Trimmer, Hannah I. Bishop, Ryuichi Shigemoto, Laxmi Kumar Parajuli, Sandra Afione, Michael Schmidt, Changyu Zheng, Antonis Voutetakis, John A. Chiorini and Michael Kirmiz. Their work appears in journals such as Molecular Cancer Therapeutics, mAbs, Scientific Reports, Genes Brain & Behavior and The Journal of Comparative Neurology.
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.