Ben R. Kiefel

459 total citations
9 papers, 183 citations indexed

About

Ben R. Kiefel is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Ben R. Kiefel has authored 9 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oncology. Recurrent topics in Ben R. Kiefel's work include Monoclonal and Polyclonal Antibodies Research (4 papers), CAR-T cell therapy research (3 papers) and HIV Research and Treatment (2 papers). Ben R. Kiefel is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), CAR-T cell therapy research (3 papers) and HIV Research and Treatment (2 papers). Ben R. Kiefel collaborates with scholars based in Australia, United States and India. Ben R. Kiefel's co-authors include Peter L. Beech, Paul R. Gilson, Dale Hereld, Xuan-Chuan Yu, Paul R. Fisher, William Margolin, Christian Barth, Matthew D. Beasley, Wendy R. Winnall and Lucy C. Sullivan and has published in prestigious journals such as Cancer Cell, Eukaryotic Cell and Immunology and Cell Biology.

In The Last Decade

Ben R. Kiefel

9 papers receiving 174 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ben R. Kiefel Australia	6	135	38	29	26	16	9	183
Timothy L. Sita United States	10	217 1.6×	37 1.0×	13 0.4×	18 0.7×	3 0.2×	22	314
Chirayu Chokshi Canada	10	153 1.1×	91 2.4×	8 0.3×	29 1.1×	10 0.6×	22	233
Amber R. Cutter United States	4	315 2.3×	20 0.5×	5 0.2×	28 1.1×	11 0.7×	4	359
Pan Chen United States	10	245 1.8×	23 0.6×	9 0.3×	31 1.2×	65 4.1×	18	309
Hauke Thiesler Germany	8	167 1.2×	16 0.4×	5 0.2×	68 2.6×	20 1.3×	20	246
Ina Weidenfeld Germany	7	307 2.3×	15 0.4×	15 0.5×	11 0.4×	16 1.0×	9	424
Caren V. Lund United States	6	339 2.5×	39 1.0×	12 0.4×	11 0.4×	15 0.9×	8	396
Daniel Strebinger United States	9	243 1.8×	22 0.6×	11 0.4×	8 0.3×	22 1.4×	12	280
Soochul Shin South Korea	7	384 2.8×	21 0.6×	20 0.7×	11 0.4×	14 0.9×	13	412
Wezley C. Griffin United States	10	290 2.1×	20 0.5×	7 0.2×	8 0.3×	12 0.8×	13	340

Countries citing papers authored by Ben R. Kiefel

Since Specialization

Citations

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

Fields of papers citing papers by Ben R. Kiefel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben R. Kiefel. 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 Ben R. Kiefel. The network helps show where Ben R. Kiefel may publish in the future.

Co-authorship network of co-authors of Ben R. Kiefel

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

All Works

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9 of 9 papers shown

Liu, Jia‐Geng, Mathilde Poussin, Madhara Udawela, et al.. (2025). Mutant KRAS peptide targeted CAR-T cells engineered for cancer therapy. Cancer Cell. 43(7). 1365–1376.e5. 4 indexed citations

Sun, Yi, S. K. Gupta, Samuel E. Garfinkle, et al.. (2023). Structural principles of peptide-centric chimeric antigen receptor recognition guide therapeutic expansion. Science Immunology. 8(90). eadj5792–eadj5792. 10 indexed citations

Verdon, Daniel J., Katherine A. Watson, Matthias Mulazzani, et al.. (2021). Novel high‐affinity EGFRvIII‐specific chimeric antigen receptor T cells effectively eliminate human glioblastoma. Clinical & Translational Immunology. 10(5). e1283–e1283. 29 indexed citations

Kiefel, Ben R., David C. Montefiori, Arnold Reynaldi, et al.. (2017). Exploration of broadly neutralizing antibody fragments produced in bacteria for the control of HIV. Human Vaccines & Immunotherapeutics. 13(11). 2726–2737. 1 indexed citations

Beasley, Matthew D., et al.. (2015). Bacterial cytoplasmic display platform Retained Display (ReD) identifies stable human germline antibody frameworks. Biotechnology Journal. 10(5). 783–789. 9 indexed citations

Winnall, Wendy R., Matthew D. Beasley, Matthew S. Parsons, Ben R. Kiefel, & Stephen J. Kent. (2014). The maturation of antibody technology for the HIV epidemic. Immunology and Cell Biology. 92(7). 570–577. 5 indexed citations

Kiefel, Ben R., Paul R. Gilson, & Peter L. Beech. (2006). Cell Biology of Mitochondrial Dynamics. International review of cytology. 254. 151–213. 31 indexed citations

Kiefel, Ben R.. (2004). Diverse Eukaryotes have Retained Mitochondrial Homologues of the Bacterial Division Protein FtsZ. Protist. 155(1). 105–115. 42 indexed citations

Gilson, Paul R., Xuan-Chuan Yu, Dale Hereld, et al.. (2003). Two Dictyostelium Orthologs of the Prokaryotic Cell Division Protein FtsZ Localize to Mitochondria and Are Required for the Maintenance of Normal Mitochondrial Morphology. Eukaryotic Cell. 2(6). 1315–1326. 52 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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