Charles Cant

795 total citations
8 papers, 688 citations indexed

About

Charles Cant is a scholar working on Immunology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Charles Cant has authored 8 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Molecular Biology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Charles Cant's work include Phagocytosis and Immune Regulation (5 papers), Immune Cell Function and Interaction (3 papers) and Cell death mechanisms and regulation (2 papers). Charles Cant is often cited by papers focused on Phagocytosis and Immune Regulation (5 papers), Immune Cell Function and Interaction (3 papers) and Cell death mechanisms and regulation (2 papers). Charles Cant collaborates with scholars based in Germany, Austria and United States. Charles Cant's co-authors include Axel Ullrich, Lothar Kanz, Wolfram Brugger, Hans‐Jörg Bühring, Martina Seiffert, Eric J. Brown, Zhengjun Chen, Irène Rappold, A. Ullrich and Marco Colonna and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Cellular and Molecular Life Sciences.

In The Last Decade

Charles Cant

8 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charles Cant Germany	7	583	163	157	80	72	8	688
Karen L. Singer United States	7	166 0.3×	274 1.7×	77 0.5×	50 0.6×	43 0.6×	7	527
Takeshi Tomizawa Japan	5	371 0.6×	87 0.5×	135 0.9×	15 0.2×	18 0.3×	5	441
Catriona A. Ford United Kingdom	8	389 0.7×	179 1.1×	112 0.7×	13 0.2×	54 0.8×	9	530
Woong-Jai Won United States	10	349 0.6×	136 0.8×	33 0.2×	31 0.4×	45 0.6×	13	538
Sarah Schouteden Belgium	9	157 0.3×	125 0.8×	39 0.2×	30 0.4×	48 0.7×	14	399
Niels Heemskerk Netherlands	10	184 0.3×	254 1.6×	46 0.3×	113 1.4×	40 0.6×	14	520
Katerina Gkirtzimanaki Greece	9	195 0.3×	242 1.5×	31 0.2×	104 1.3×	71 1.0×	11	481
M. Fabbri Italy	8	99 0.2×	147 0.9×	52 0.3×	75 0.9×	76 1.1×	12	387
Talal Mousallem United States	9	150 0.3×	190 1.2×	178 1.1×	40 0.5×	37 0.5×	18	439
Christian D. Ellson United States	7	177 0.3×	366 2.2×	59 0.4×	85 1.1×	27 0.4×	8	607

Countries citing papers authored by Charles Cant

Since Specialization

Citations

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

Fields of papers citing papers by Charles Cant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Cant

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

All Works

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8 of 8 papers shown

1.

Cant, Charles & A. Ullrich. (2001). Signal regulation by family conspiracy. Cellular and Molecular Life Sciences. 58(1). 117–124. 48 indexed citations

2.

Seiffert, Martina, Peter Brossart, Charles Cant, et al.. (2001). Signal-regulatory protein α (SIRPα) but not SIRPβ is involved in T-cell activation, binds to CD47 with high affinity, and is expressed on immature CD34+CD38−hematopoietic cells. Blood. 97(9). 2741–2749. 155 indexed citations

3.

Tomasello, Elena, Charles Cant, Hans-Jörg Bühring, et al.. (2000). Association of signal-regulatory proteins β with KARAP/DAP-12. European Journal of Immunology. 30(8). 2147–2156. 80 indexed citations

4.

Tomasello, Elena, Charles Cant, Hans‐Jörg Bühring, et al.. (2000). Association of signal-regulatory proteins β with KARAP/DAP-12. European Journal of Immunology. 30(18). 2147–2147. 6 indexed citations

5.

Seiffert, Martina, Charles Cant, Zhengjun Chen, et al.. (1999). Human Signal-Regulatory Protein Is Expressed on Normal, But Not on Subsets of Leukemic Myeloid Cells and Mediates Cellular Adhesion Involving Its Counterreceptor CD47. Blood. 94(11). 3633–3643. 255 indexed citations

6.

Seiffert, Martina, Charles Cant, Zhengjun Chen, et al.. (1999). Human Signal-Regulatory Protein Is Expressed on Normal, But Not on Subsets of Leukemic Myeloid Cells and Mediates Cellular Adhesion Involving Its Counterreceptor CD47. Blood. 94(11). 3633–3643. 36 indexed citations

7.

Canals, Josep M., Luis Ruíz-Ávila, Charles Cant, Carles Solsona, & Jordi Marsal. (1996). Functional reconstitution of KCl-evoked, Ca2+-dependent acetylcholine release system inXenopus oocytes microinjected with presynaptic plasma membranes and synaptic vesicles. Journal of Neuroscience Research. 44(2). 106–114. 10 indexed citations

8.

Cheng, Qi, Charles Cant, Thomas Moll, et al.. (1994). NK-kappa B subunit-specific regulation of the I kappa B alpha promoter.. Journal of Biological Chemistry. 269(18). 13551–13557. 98 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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