Jennifer I. Hare

1.5k total citations · 1 hit paper
12 papers, 1.2k citations indexed

About

Jennifer I. Hare is a scholar working on Oncology, Biomaterials and Surgery. According to data from OpenAlex, Jennifer I. Hare has authored 12 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 6 papers in Biomaterials and 2 papers in Surgery. Recurrent topics in Jennifer I. Hare's work include Nanoparticle-Based Drug Delivery (6 papers), Mathematical Biology Tumor Growth (2 papers) and Dendrimers and Hyperbranched Polymers (2 papers). Jennifer I. Hare is often cited by papers focused on Nanoparticle-Based Drug Delivery (6 papers), Mathematical Biology Tumor Growth (2 papers) and Dendrimers and Hyperbranched Polymers (2 papers). Jennifer I. Hare collaborates with scholars based in United Kingdom, Canada and Singapore. Jennifer I. Hare's co-authors include Simon T. Barry, Marianne Ashford, Sanyogitta Puri, Twan Lammers, Gert Storm, Theresa M. Allen, Wilson Cheng, Marcel B. Bally, Euan Ramsay and Göran Karlsson and has published in prestigious journals such as PLoS ONE, Cancer Research and Advanced Drug Delivery Reviews.

In The Last Decade

Jennifer I. Hare

12 papers receiving 1.2k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Challenges and strategies in anti-cancer nanomedicine development: An industry perspective

2016 900 citations Jennifer I. Hare, Twan Lammers et al. Advanced Drug Delivery Reviews profile →

Peers

Countries citing papers authored by Jennifer I. Hare

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer I. Hare

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer I. Hare. 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 Jennifer I. Hare. The network helps show where Jennifer I. Hare may publish in the future.

Co-authorship network of co-authors of Jennifer I. Hare

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

All Works

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12 of 12 papers shown

#	Title	Journal	Authors	Indexed citations
1	Abstract 4302: Analysis of the dose and schedule dependence of tumor kill in nonclinical tumour models after treatment with the WEE1 inhibitor AZD1775	Cancer Research	Elaine Cadogan, Jennifer I. Hare et al.	1
2	Multiscalar cellular automaton simulates in-vivo tumour-stroma patterns calibrated from in-vitro assay data	BMC Medical Informatics and Decision Making	Jennifer I. Hare, Emma Jane Davies et al.	2
3	Evaluation of dynamic contrast-enhanced MRI biomarkers for stratified cancer medicine: How do permeability and perfusion vary between human tumours?	Magnetic Resonance Imaging	Ross A. Little, Hervé Barjat et al.	19
4	Tumour regression and improved gastrointestinal tolerability from controlled release of SN-38 from novel polyoxazoline-modified dendrimers	Journal of Controlled Release	R. England, Jennifer I. Hare et al.	39
5	Challenges and strategies in anti-cancer nanomedicine development: An industry perspective breakdown →	Advanced Drug Delivery Reviews	Jennifer I. Hare, Twan Lammers et al.	900
6	Enhanced cytocompatibility and functional group content of poly(l-lysine) dendrimers by grafting with poly(oxazolines)	Polymer Chemistry	R. England, Jennifer I. Hare et al.	17
7	Tumour stromal morphology impacts nanomedicine cytotoxicity in patient-derived xenografts	Nanomedicine Nanotechnology Biology and Medicine	Jennifer I. Hare, James Yates et al.	10
8	Oxygen-Driven Tumour Growth Model: A Pathology-Relevant Mathematical Approach	PLoS Computational Biology	Jennifer I. Hare, Alessandro P. S. de Moura et al.	6
9	Treatment of Colorectal Cancer Using a Combination of Liposomal Irinotecan (Irinophore C™) and 5-Fluorouracil	PLoS ONE	Jennifer I. Hare, Malathi Anantha et al.	26
10	Targeting combinations of liposomal drugs to both tumor vasculature cells and tumor cells for the treatment of HER2-positive breast cancer	Journal of drug targeting	Jennifer I. Hare, Elaine H. Moase et al.	21
11	Development of a liposomal nanoparticle formulation of 5-Fluorouracil for parenteral administration: Formulation design, pharmacokinetics and efficacy	Journal of Controlled Release	A.M. Thomas, Anita I. Kapanen et al.	65
12	Pharmacokinetics and Pharmacodynamics of Lipidic Nano-Particles in Cancer	Anti-Cancer Agents in Medicinal Chemistry	Theresa M. Allen, Wilson Cheng et al.	119

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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