William J. Barendt

450 total citations
3 papers, 63 citations indexed

About

William J. Barendt is a scholar working on Oncology, Cancer Research and Neurology. According to data from OpenAlex, William J. Barendt has authored 3 papers receiving a total of 63 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Oncology, 2 papers in Cancer Research and 1 paper in Neurology. Recurrent topics in William J. Barendt's work include Neuroblastoma Research and Treatments (1 paper), CAR-T cell therapy research (1 paper) and Cancer Genomics and Diagnostics (1 paper). William J. Barendt is often cited by papers focused on Neuroblastoma Research and Treatments (1 paper), CAR-T cell therapy research (1 paper) and Cancer Genomics and Diagnostics (1 paper). William J. Barendt collaborates with scholars based in United Kingdom. William J. Barendt's co-authors include Mathew J. Garnett, Hayley E. Francies, Andrew Barthorpe, Allison Blair, Paraskevi Diamanti, Charlotte V. Cox, Jeremy Hancock and John Moppett and has published in prestigious journals such as Blood, British Journal of Haematology and Methods in molecular biology.

In The Last Decade

William J. Barendt

3 papers receiving 63 citations

Peers

William J. Barendt
Camilla Calandrini Netherlands
Adam Akkad United States
Pei Rong Evelyn Lee United States
Lucas Zeiger United Kingdom
Abayomi Mosaku South Africa
Revant Gupta Germany
Sam Nichols United Kingdom
Camilla Calandrini Netherlands
William J. Barendt
Citations per year, relative to William J. Barendt William J. Barendt (= 1×) peers Camilla Calandrini

Countries citing papers authored by William J. Barendt

Since Specialization
Citations

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

Fields of papers citing papers by William J. Barendt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William J. Barendt. 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 William J. Barendt. The network helps show where William J. Barendt may publish in the future.

Co-authorship network of co-authors of William J. Barendt

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

All Works

3 of 3 papers shown
1.
Diamanti, Paraskevi, William J. Barendt, Charlotte V. Cox, et al.. (2020). Investigating the response of paediatric leukaemia‐propagating cells to BCL‐2 inhibitors. British Journal of Haematology. 192(3). 577–588. 2 indexed citations
2.
Francies, Hayley E., et al.. (2016). Drug Sensitivity Assays of Human Cancer Organoid Cultures. Methods in molecular biology. 1576. 339–351. 58 indexed citations
3.
Diamanti, Paraskevi, et al.. (2015). Combining BCL-2 Inhibitors with Parthenolide to Treat Childhood Acute Lymphoblastic Leukaemia. Blood. 126(23). 2531–2531. 3 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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