C B Cardellichio

2.1k total citations · 1 hit paper
16 papers, 1.7k citations indexed

About

C B Cardellichio is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics. According to data from OpenAlex, C B Cardellichio has authored 16 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Animal Science and Zoology, 11 papers in Infectious Diseases and 7 papers in Genetics. Recurrent topics in C B Cardellichio's work include Animal Virus Infections Studies (12 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Virus-based gene therapy research (7 papers). C B Cardellichio is often cited by papers focused on Animal Virus Infections Studies (12 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Virus-based gene therapy research (7 papers). C B Cardellichio collaborates with scholars based in United States, Canada and Belgium. C B Cardellichio's co-authors include Kathryn V. Holmes, Richard K. Williams, Gabriela Dveksler, Linda H. Shapiro, Curtis Yeager, A. Thomas Look, Carl W. Dieffenbach, Michael Pensiero, G S Jiang and Catherine Laughlin and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Virology.

In The Last Decade

C B Cardellichio

16 papers receiving 1.6k citations

Hit Papers

Human aminopeptidase N is... 1992 2026 2003 2014 1992 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C B Cardellichio United States 12 983 799 364 310 275 16 1.7k
G S Jiang United States 7 600 0.6× 571 0.7× 200 0.5× 130 0.4× 173 0.6× 9 950
Shigeko Nomura United States 18 204 0.2× 304 0.4× 734 2.0× 454 1.5× 327 1.2× 36 1.4k
Bertrand Boson France 18 579 0.6× 240 0.3× 388 1.1× 488 1.6× 227 0.8× 35 1.7k
Orgad Laub Israel 24 408 0.4× 168 0.2× 329 0.9× 812 2.6× 197 0.7× 40 2.2k
Miriam Lieberman United States 16 321 0.3× 116 0.1× 358 1.0× 459 1.5× 453 1.6× 34 1.4k
Christos A. Kyratsous United States 16 1.0k 1.1× 204 0.3× 132 0.4× 595 1.9× 172 0.6× 25 1.6k
J P Coutelier Belgium 17 250 0.3× 191 0.2× 175 0.5× 196 0.6× 632 2.3× 28 1.2k
Jodi L. Connolly United States 12 831 0.8× 252 0.3× 754 2.1× 440 1.4× 265 1.0× 13 1.5k
Eberhard Wecker Germany 26 257 0.3× 132 0.2× 221 0.6× 497 1.6× 1.1k 4.1× 70 2.0k
Valerie Bosch Germany 20 586 0.6× 68 0.1× 288 0.8× 611 2.0× 416 1.5× 44 1.7k

Countries citing papers authored by C B Cardellichio

Since Specialization
Citations

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

Fields of papers citing papers by C B Cardellichio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C B Cardellichio. 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 C B Cardellichio. The network helps show where C B Cardellichio may publish in the future.

Co-authorship network of co-authors of C B Cardellichio

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

All Works

16 of 16 papers shown
1.
Wessner, David R., Jinhua Lu, C B Cardellichio, et al.. (1998). Mutational Analysis of the Virus and Monoclonal Antibody Binding Sites in MHVR, the Cellular Receptor of the Murine Coronavirus Mouse Hepatitis Virus Strain A59. Journal of Virology. 72(3). 1941–1948. 41 indexed citations
3.
Levis, Robin, C B Cardellichio, Charles A. Scanga, Susan R Compton, & Kathryn V. Holmes. (1995). Multiple Receptor-Dependent Steps Determine the Species Specificity of HCV-229E Infection. Advances in experimental medicine and biology. 380. 337–343. 8 indexed citations
4.
Dveksler, Gabriela, Patrick Nédellec, Jinhua Lu, et al.. (1995). Characterization of a New Gene that Encodes a Functional MHV Receptor and Progress in the Identification of the Virus-Binding Site(s). Advances in experimental medicine and biology. 380. 345–350. 6 indexed citations
5.
Godfraind, Catherine, Susan G. Langreth, C B Cardellichio, et al.. (1995). Tissue and cellular distribution of an adhesion molecule in the carcinoembryonic antigen family that serves as a receptor for mouse hepatitis virus.. PubMed. 73(5). 615–27. 66 indexed citations
6.
Dveksler, Gabriela, et al.. (1995). Mouse hepatitis virus receptor activities of an MHVR/mph chimera and MHVR mutants lacking N-linked glycosylation of the N-terminal domain. Journal of Virology. 69(1). 543–546. 27 indexed citations
7.
Coutelier, Jean‐Paul, Catherine Godfraind, Gabriela Dveksler, et al.. (1994). B lymphocyte and macrophage expression of carcinoembryonic antigen‐related adhesion molecules that serve as receptors for murine coronavirus. European Journal of Immunology. 24(6). 1383–1390. 72 indexed citations
8.
Dveksler, Gabriela, et al.. (1994). Expression of MHV-A59 Receptor Glycoproteins in Susceptible and Resistant Strains of Mice. Advances in experimental medicine and biology. 342. 267–272. 3 indexed citations
9.
Dveksler, Gabriela, et al.. (1993). Mouse hepatitis virus strain A59 and blocking antireceptor monoclonal antibody bind to the N-terminal domain of cellular receptor.. Proceedings of the National Academy of Sciences. 90(5). 1716–1720. 98 indexed citations
10.
Dveksler, Gabriela, Carl W. Dieffenbach, C B Cardellichio, et al.. (1993). Several members of the mouse carcinoembryonic antigen-related glycoprotein family are functional receptors for the coronavirus mouse hepatitis virus-A59. Journal of Virology. 67(1). 1–8. 182 indexed citations
11.
Yeager, Curtis, Richard K. Williams, C B Cardellichio, et al.. (1992). Human aminopeptidase N is a receptor for human coronavirus 229E. Nature. 357(6377). 420–422. 705 indexed citations breakdown →
12.
Pensiero, Michael, Gabriela Dveksler, C B Cardellichio, et al.. (1992). Binding of the coronavirus mouse hepatitis virus A59 to its receptor expressed from a recombinant vaccinia virus depends on posttranslational processing of the receptor glycoprotein. Journal of Virology. 66(7). 4028–4039. 18 indexed citations
13.
Smith, Adrian L., et al.. (1991). Monoclonal Antibody to the Receptor for Murine Coronavirus MHV-A59 Inhibits Viral Replication In Vivo. The Journal of Infectious Diseases. 163(4). 879–882. 39 indexed citations
14.
Dveksler, Gabriela, Michael Pensiero, C B Cardellichio, et al.. (1991). Cloning of the mouse hepatitis virus (MHV) receptor: expression in human and hamster cell lines confers susceptibility to MHV. Journal of Virology. 65(12). 6881–6891. 290 indexed citations
15.
Holmes, Kathryn V., Richard K. Williams, C B Cardellichio, et al.. (1990). Is the 110K Glycoprotein the Only Receptor for MHV and Does Its Expression Determine Species Specificity?. Advances in experimental medicine and biology. 276. 37–44. 2 indexed citations
16.
Laughlin, Catherine, C B Cardellichio, & Helen Coon. (1986). Latent infection of KB cells with adeno-associated virus type 2. Journal of Virology. 60(2). 515–524. 95 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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