Danielle Mandikian

1.0k total citations
17 papers, 711 citations indexed

About

Danielle Mandikian is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Danielle Mandikian has authored 17 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Oncology. Recurrent topics in Danielle Mandikian's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Ion channel regulation and function (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Danielle Mandikian is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Ion channel regulation and function (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Danielle Mandikian collaborates with scholars based in United States, France and Japan. Danielle Mandikian's co-authors include James S. Trimmer, Hannah I. Bishop, Laxmi Kumar Parajuli, Ryuichi Shigemoto, Michael Schmidt, Antonis Voutetakis, Changyu Zheng, Sandra Afione, John A. Chiorini and Juha Kuja‐Panula and has published in prestigious journals such as Journal of Biological Chemistry, Neurology and The Journal of Comparative Neurology.

In The Last Decade

Danielle Mandikian

16 papers receiving 693 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Danielle Mandikian United States 11 393 183 155 154 145 17 711
Yasuo Ouchi Japan 20 677 1.7× 111 0.6× 176 1.1× 85 0.6× 49 0.3× 34 1.0k
Stéphane Fouquet France 22 697 1.8× 272 1.5× 122 0.8× 92 0.6× 130 0.9× 36 1.3k
Shuyun Dong United States 16 808 2.1× 135 0.7× 64 0.4× 32 0.2× 119 0.8× 38 1.1k
Javier Sancho-Pellúz Spain 18 954 2.4× 208 1.1× 64 0.4× 83 0.5× 58 0.4× 33 1.2k
Anu Bansal India 11 815 2.1× 264 1.4× 55 0.4× 62 0.4× 97 0.7× 30 1.1k
Sabine M. Brouxhon United States 15 296 0.8× 160 0.9× 79 0.5× 64 0.4× 95 0.7× 30 805
Sanne Møller Knudsen Denmark 11 930 2.4× 430 2.3× 50 0.3× 84 0.5× 102 0.7× 15 1.5k
Tsukasa Sugo Japan 14 615 1.6× 216 1.2× 51 0.3× 43 0.3× 45 0.3× 20 1.3k
Ye Tao China 19 525 1.3× 201 1.1× 57 0.4× 88 0.6× 20 0.1× 78 1.0k

Countries citing papers authored by Danielle Mandikian

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Danielle Mandikian

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Mandikian. A scholar is included among the top collaborators of Danielle Mandikian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danielle Mandikian. Danielle Mandikian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Schaller, Stephan, Luis David Jiménez‐Franco, Alexander Kulesza, et al.. (2025). Whole-Body Physiologically Based Pharmacokinetic Modeling Framework for Tissue Target Engagement of CD3 Bispecific Antibodies. Pharmaceutics. 17(4). 500–500.
2.
Estevez, Alberto, Gregory Z. Ferl, Danielle Mandikian, et al.. (2021). Imaging Reveals Importance of Shape and Flexibility for Glomerular Filtration of Biologics. Molecular Cancer Therapeutics. 20(10). 2008–2015. 8 indexed citations
3.
Mandikian, Danielle, Anna N. King, Jason Ho, et al.. (2021). Valency of HER2 Targeting Antibodies Influences Tumor Cell Internalization and Penetration. Molecular Cancer Therapeutics. 20(10). 1956–1965. 4 indexed citations
4.
Nazarova, Lidia, Danielle Mandikian, Gregory Z. Ferl, et al.. (2020). Effect of Modulating FcRn Binding on Direct and Pretargeted Tumor Uptake of Full-length Antibodies. Molecular Cancer Therapeutics. 19(4). 1052–1058. 11 indexed citations
5.
Famili, Amin, Susan Crowell, Kelly M. Loyet, et al.. (2019). Hyaluronic Acid–Antibody Fragment Bioconjugates for Extended Ocular Pharmacokinetics. Bioconjugate Chemistry. 30(11). 2782–2789. 14 indexed citations
6.
Lyman, Kyle A., Ye Han, Ioannis E. Michailidis, et al.. (2019). Phosphorylation of the HCN channel auxiliary subunit TRIP8b is altered in an animal model of temporal lobe epilepsy and modulates channel function. Journal of Biological Chemistry. 294(43). 15743–15758. 19 indexed citations
7.
Lombana, T. Noelle, Sharmila Rajan, Julie A. Zorn, et al.. (2019). Production, characterization, andin vivohalf-life extension of polymeric IgA molecules in mice. mAbs. 11(6). 1122–1138. 40 indexed citations
8.
Mandikian, Danielle, Ji Li, Jeffrey Eastham‐Anderson, et al.. (2018). Relative Target Affinities of T-Cell–Dependent Bispecific Antibodies Determine Biodistribution in a Solid Tumor Mouse Model. Molecular Cancer Therapeutics. 17(4). 776–785. 112 indexed citations
9.
Mandikian, Danielle, Pragya Adhikari, Lidia Nazarova, et al.. (2018). Site-specific conjugation allows modulation of click reaction stoichiometry for pretargeted SPECT imaging. mAbs. 10(8). 1269–1280. 9 indexed citations
10.
Bishop, Hannah I., Melanie M. Cobb, Michael Kirmiz, et al.. (2018). Kv2 Ion Channels Determine the Expression and Localization of the Associated AMIGO-1 Cell Adhesion Molecule in Adult Brain Neurons. Frontiers in Molecular Neuroscience. 11. 1–1. 197 indexed citations
11.
Domínguez, Sara L., Ganapati V. Hegde, Jesse E. Hanson, et al.. (2018). Antibody-mediated stabilization of NRG1 induces behavioral and electrophysiological alterations in adult mice. Scientific Reports. 8(1). 8239–8239. 10 indexed citations
12.
Mandikian, Danielle, Isabel Figueroa, Sheila Ulufatu, et al.. (2018). Tissue Physiology of Cynomolgus Monkeys: Cross-Species Comparison and Implications for Translational Pharmacology. The AAPS Journal. 20(6). 107–107. 18 indexed citations
13.
Meilandt, William J., Janice Maloney, Jose Imperio, et al.. (2018). Characterization of the Selective In Vivo and In Vitro Binding Properties of Crenezumab: Insights into Crenezumab’s Unique Mechanism of Action (P6.174). Neurology. 90(15_supplement). 3 indexed citations
14.
Rajan, Sharmila, Danielle Mandikian, Amos Baruch, et al.. (2017). Preclinical pharmacokinetic characterization of an adipose tissue-targeting monoclonal antibody in obese and non-obese animals. mAbs. 9(8). 1379–1388. 4 indexed citations
15.
Speca, David J., Genki Ogata, Danielle Mandikian, et al.. (2014). Deletion of the Kv2.1 delayed rectifier potassium channel leads to neuronal and behavioral hyperexcitability. Genes Brain & Behavior. 13(4). 394–408. 92 indexed citations
16.
Mandikian, Danielle, Elke Bocksteins, Laxmi Kumar Parajuli, et al.. (2014). Cell type–specific spatial and functional coupling between mammalian brain Kv2.1 K+ channels and ryanodine receptors. The Journal of Comparative Neurology. 522(15). 3555–3574. 51 indexed citations
17.
Schmidt, Michael, Antonis Voutetakis, Sandra Afione, et al.. (2007). Adeno-Associated Virus Type 12 (AAV12): a Novel AAV Serotype with Sialic Acid- and Heparan Sulfate Proteoglycan-Independent Transduction Activity. Journal of Virology. 82(3). 1399–1406. 119 indexed citations

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.

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