Janine Ferrant

440 total citations
11 papers, 278 citations indexed

About

Janine Ferrant is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology. According to data from OpenAlex, Janine Ferrant has authored 11 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Janine Ferrant's work include Monoclonal and Polyclonal Antibodies Research (4 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Janine Ferrant is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Janine Ferrant collaborates with scholars based in United States, Netherlands and Switzerland. Janine Ferrant's co-authors include Ellen A. Garber, Frederick R. Taylor, Linda C. Burkly, Michael Karpusas, Christopher D. Benjamin, Susan L. Kalled, Anne H. Cutler, David W. Scott, Jiahua Qian and Christian C. Haudenschild and has published in prestigious journals such as The Journal of Immunology, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Janine Ferrant

11 papers receiving 262 citations

Peers

Janine Ferrant
C M Butcher Australia
Emmanuelle Astoul United Kingdom
Judy Young United States
E. Yuen Australia
Janine Ferrant
Citations per year, relative to Janine Ferrant Janine Ferrant (= 1×) peers Akiko Takada

Countries citing papers authored by Janine Ferrant

Since Specialization
Citations

This map shows the geographic impact of Janine Ferrant'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 Janine Ferrant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janine Ferrant more than expected).

Fields of papers citing papers by Janine Ferrant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janine Ferrant. 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 Janine Ferrant. The network helps show where Janine Ferrant may publish in the future.

Co-authorship network of co-authors of Janine Ferrant

This figure shows the co-authorship network connecting the top 25 collaborators of Janine Ferrant. A scholar is included among the top collaborators of Janine Ferrant 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 Janine Ferrant. Janine Ferrant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Pepinsky, Blake, Yan Gao, Andreas Lehmann, et al.. (2017). A Prodomain Fragment from the Proteolytic Activation of Growth Differentiation Factor 11 Remains Associated with the Mature Growth Factor and Keeps It Soluble. Biochemistry. 56(33). 4405–4418. 12 indexed citations
2.
Li, Yinyin, Yü Huang, Janine Ferrant, et al.. (2016). Assessing in vivo dynamics of multiple quality attributes from a therapeutic IgG4 monoclonal antibody circulating in cynomolgus monkey. mAbs. 8(5). 961–968. 20 indexed citations
3.
Nagelkerken, Lex, Wouter van Rijs, Bep Blauw, et al.. (2004). FcR Interactions Do Not Play a Major Role in Inhibition of Experimental Autoimmune Encephalomyelitis by Anti-CD154 Monoclonal Antibodies. The Journal of Immunology. 173(2). 993–999. 13 indexed citations
4.
Ferrant, Janine, Christopher D. Benjamin, Anne H. Cutler, et al.. (2004). The contribution of Fc effector mechanisms in the efficacy of anti-CD154 immunotherapy depends on the nature of the immune challenge. International Immunology. 16(11). 1583–1594. 39 indexed citations
5.
Abraham, William M., Ashfaq Ahmed, Janine Ferrant, et al.. (2003). A Monoclonal Antibody to α1β1 Blocks Antigen-induced Airway Responses in Sheep. American Journal of Respiratory and Critical Care Medicine. 169(1). 97–104. 34 indexed citations
6.
Karpusas, Michael, et al.. (2003). Crystal Structure of the α1β1 Integrin I Domain in Complex with an Antibody Fab Fragment. Journal of Molecular Biology. 327(5). 1031–1041. 27 indexed citations
7.
Ferrant, Janine, Cheryl A. Wilson, Christopher D. Benjamin, et al.. (2002). Variation in the ordered structure of complexes between CD154 and anti-CD154 monoclonal antibodies. Molecular Immunology. 39(1-2). 77–84. 11 indexed citations
8.
Karpusas, Michael, Janine Ferrant, Christopher D. Benjamin, et al.. (2001). Structure of CD40 Ligand in Complex with the Fab Fragment of a Neutralizing Humanized Antibody. Structure. 9(4). 321–329. 41 indexed citations
9.
Kalled, Susan L., Anne H. Cutler, & Janine Ferrant. (2001). Long-term anti-CD154 dosing in nephritic mice is required to maintain survival and inhibit mediators of renal fibrosis. Lupus. 10(1). 9–22. 21 indexed citations
10.
Taylor, Frederick R., et al.. (2000). Biochemical analysis of retroviral structural proteins to identify and quantify retrovirus expressed by an NS0 murine myeloma cell line. Journal of Biotechnology. 84(1). 33–43. 6 indexed citations
11.
Qian, Jiahua, Linda C. Burkly, Elizabeth Smith, et al.. (2000). Role of CD154 in the secondary immune response: the reduction of pre-existing splenic germinal centers and anti-factor VIII inhibitor titer. European Journal of Immunology. 30(9). 2548–2554. 54 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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