Benoit J. Smagghe

757 total citations
21 papers, 605 citations indexed

About

Benoit J. Smagghe is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Benoit J. Smagghe has authored 21 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cell Biology and 7 papers in Oncology. Recurrent topics in Benoit J. Smagghe's work include Hemoglobin structure and function (8 papers), CAR-T cell therapy research (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Benoit J. Smagghe is often cited by papers focused on Hemoglobin structure and function (8 papers), CAR-T cell therapy research (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Benoit J. Smagghe collaborates with scholars based in United States, Australia and Belgium. Benoit J. Smagghe's co-authors include Mark S. Hargrove, James T. Trent, Julie A. Hoy, Gautam Sarath, Jean‐Louis Hilbert, Timothy A. Springer, Thomas Walz, Emily Ross, Edward T. Eng and Suman Kundu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Benoit J. Smagghe

21 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoit J. Smagghe United States 11 384 366 124 118 90 21 605
Sun Hae Hong United States 5 247 0.6× 302 0.8× 17 0.1× 24 0.2× 34 0.4× 9 418
Michael P. Krahn Germany 19 437 1.1× 643 1.8× 86 0.7× 9 0.1× 39 0.4× 46 990
K.J. Carroll United States 5 211 0.5× 372 1.0× 23 0.2× 6 0.1× 34 0.4× 5 548
Deborah M. Leonard United States 16 244 0.6× 365 1.0× 11 0.1× 13 0.1× 68 0.8× 20 626
Robert Vasquez United States 5 481 1.3× 454 1.2× 63 0.5× 6 0.1× 19 0.2× 15 686
Takashi Ito Japan 15 88 0.2× 983 2.7× 142 1.1× 12 0.1× 17 0.2× 25 1.1k
Katrin Pfleghaar Germany 7 314 0.8× 1.4k 3.7× 39 0.3× 8 0.1× 115 1.3× 7 1.5k
Martin Linke Germany 11 59 0.2× 275 0.8× 122 1.0× 8 0.1× 30 0.3× 14 450
Sanchari Datta United States 9 229 0.6× 330 0.9× 21 0.2× 24 0.2× 110 1.2× 9 526
Ingmar B. Schäfer Germany 15 273 0.7× 697 1.9× 53 0.4× 4 0.0× 61 0.7× 19 870

Countries citing papers authored by Benoit J. Smagghe

Since Specialization
Citations

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

Fields of papers citing papers by Benoit J. Smagghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoit J. Smagghe

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

All Works

20 of 20 papers shown
1.
Smagghe, Benoit J., Mark G. Carter, Daniel M. Miller, et al.. (2025). Effective CAR T-cell targeting of an MUC1 cleavage product. Journal for ImmunoTherapy of Cancer. 13(5). e010577–e010577. 1 indexed citations
2.
Bamdad, Cynthia, Joanne Mortimer, Yuan Yuan, et al.. (2024). Abstract CT096: Phase I first-in-human MUC1* targeted autologous CAR T cells for the treatment of metastatic breast cancers. Cancer Research. 84(7_Supplement). CT096–CT096. 1 indexed citations
3.
Bamdad, Cynthia, Yuan Yuan, Jennifer M. Specht, et al.. (2022). Phase I/II first-in-human CAR T–targeting MUC1 transmembrane cleavage product (MUC1*) in patients with metastatic breast cancer.. Journal of Clinical Oncology. 40(16_suppl). TPS1130–TPS1130. 7 indexed citations
4.
Bamdad, Cynthia, et al.. (2020). Abstract P3-11-11: First-in-human CAR T for solid tumors targets the MUC1 transmembrane cleavage product. Cancer Research. 80(4_Supplement). P3–11. 2 indexed citations
5.
Bamdad, Cynthia, Andrew K. Stewart, Benoit J. Smagghe, et al.. (2019). First-in-human CAR T for solid tumors targets the MUC1 transmembrane cleavage product. Cytotherapy. 21(5). S9–S9. 2 indexed citations
6.
Bamdad, Cynthia, et al.. (2018). Abstract 2544: Anti-MUC1* CAR T for solid tumors. Cancer Research. 78(13_Supplement). 2544–2544. 1 indexed citations
7.
Bamdad, Cynthia, et al.. (2018). Novel CAR T that targets MUC1* not full-length MUC1 for treatment of solid tumor cancers. Cytotherapy. 20(5). S7–S7. 3 indexed citations
8.
Bamdad, Cynthia, et al.. (2017). Abstract 3330: MUC1* targeting CAR T. Cancer Research. 77(13_Supplement). 3330–3330. 1 indexed citations
9.
10.
Smagghe, Benoit J., Andrew K. Stewart, Mark G. Carter, et al.. (2013). MUC1* Ligand, NM23-H1, Is a Novel Growth Factor That Maintains Human Stem Cells in a More Naïve State. PLoS ONE. 8(3). e58601–e58601. 21 indexed citations
11.
Eng, Edward T., Benoit J. Smagghe, Thomas Walz, & Timothy A. Springer. (2011). Intact αIIbβ3 Integrin Is Extended after Activation as Measured by Solution X-ray Scattering and Electron Microscopy. Journal of Biological Chemistry. 286(40). 35218–35226. 55 indexed citations
12.
Thompson, A., et al.. (2011). A Gold Nanoparticle Platform for Protein–Protein Interactions and Drug Discovery. ACS Applied Materials & Interfaces. 3(8). 2979–2987. 21 indexed citations
13.
Smagghe, Benoit J., et al.. (2010). Modulation of Integrin Activation by an Entropic Spring in the β-Knee. Journal of Biological Chemistry. 285(43). 32954–32966. 31 indexed citations
14.
Smagghe, Benoit J., Julie A. Hoy, Ryan Percifield, et al.. (2009). Review: Correlations between oxygen affinity and sequence classifications of plant hemoglobins. Biopolymers. 91(12). 1083–1096. 115 indexed citations
15.
Smagghe, Benoit J., et al.. (2009). Correlations Between Oxygen Affinit y and Sequence Classific ations of Plant Hemoglobins. 1 indexed citations
16.
Smagghe, Benoit J., et al.. (2008). Measurement of Distal Histidine Coordination Equilibrium and Kinetics in Hexacoordinate Hemoglobins. Methods in enzymology on CD-ROM/Methods in enzymology. 436. 359–378. 10 indexed citations
17.
Smagghe, Benoit J., James T. Trent, & Mark S. Hargrove. (2008). NO Dioxygenase Activity in Hemoglobins Is Ubiquitous In Vitro, but Limited by Reduction In Vivo. PLoS ONE. 3(4). e2039–e2039. 123 indexed citations
18.
Hoy, Julie A., et al.. (2007). Plant Hemoglobins: A Molecular Fossil Record for the Evolution of Oxygen Transport. Journal of Molecular Biology. 371(1). 168–179. 62 indexed citations
19.
Smagghe, Benoit J., Suman Kundu, Julie A. Hoy, et al.. (2006). Role of Phenylalanine B10 in Plant Nonsymbiotic Hemoglobins,. Biochemistry. 45(32). 9735–9745. 40 indexed citations
20.
Smagghe, Benoit J., Gautam Sarath, Emily Ross, Jean‐Louis Hilbert, & Mark S. Hargrove. (2005). Slow Ligand Binding Kinetics Dominate Ferrous Hexacoordinate Hemoglobin Reactivities and Reveal Differences between Plants and Other Species. Biochemistry. 45(2). 561–570. 69 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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