C M Sorensen

1.1k total citations
22 papers, 818 citations indexed

About

C M Sorensen is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, C M Sorensen has authored 22 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 14 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Molecular Biology. Recurrent topics in C M Sorensen's work include T-cell and B-cell Immunology (15 papers), Monoclonal and Polyclonal Antibodies Research (14 papers) and Immune Cell Function and Interaction (13 papers). C M Sorensen is often cited by papers focused on T-cell and B-cell Immunology (15 papers), Monoclonal and Polyclonal Antibodies Research (14 papers) and Immune Cell Function and Interaction (13 papers). C M Sorensen collaborates with scholars based in United States, Canada and France. C M Sorensen's co-authors include Arnold H. Greenberg, Weihua Wan, Dwight M. Nance, Gabriel Núñez, C W Pierce, Timothy J. McDonnell, Stanley J. Korsmeyer, David M. Hockenbery, Catherine Y. Vriend and Judith A. Kapp and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

C M Sorensen

21 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C M Sorensen United States 11 370 201 144 114 111 22 818
Ronald L. Wilder United States 14 282 0.8× 161 0.8× 224 1.6× 44 0.4× 25 0.2× 21 966
Duško Kosec Serbia 18 418 1.1× 129 0.6× 162 1.1× 22 0.2× 124 1.1× 70 883
Marie-Paule Defresne Belgium 14 243 0.7× 200 1.0× 67 0.5× 35 0.3× 14 0.1× 44 789
Robert Dubs Switzerland 2 313 0.8× 183 0.9× 53 0.4× 21 0.2× 229 2.1× 2 696
G.M. Hayes United Kingdom 9 377 1.0× 307 1.5× 38 0.3× 80 0.7× 596 5.4× 11 1.2k
Mark Griffiths United Kingdom 12 311 0.8× 247 1.2× 80 0.6× 22 0.2× 270 2.4× 18 958
Yutian Zhan United States 13 82 0.2× 392 2.0× 81 0.6× 35 0.3× 75 0.7× 27 762
Richard A. Maki United States 14 213 0.6× 293 1.5× 159 1.1× 20 0.2× 11 0.1× 16 969
Raffaello Cimbro United States 20 418 1.1× 372 1.9× 43 0.3× 45 0.4× 369 3.3× 41 1.4k

Countries citing papers authored by C M Sorensen

Since Specialization
Citations

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

Fields of papers citing papers by C M Sorensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C M Sorensen

This figure shows the co-authorship network connecting the top 25 collaborators of C M Sorensen. A scholar is included among the top collaborators of C M Sorensen 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 M Sorensen. C M Sorensen 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.
Procházka, A. & C M Sorensen. (2009). Biomechanical imperatives in the neural control of locomotion. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 153(2). S135–S136. 3 indexed citations
2.
Wan, Weihua, et al.. (1994). Neural and biochemical mediators of endotoxin and stress-induced c-fos expression in the rat brain. Brain Research Bulletin. 34(1). 7–14. 260 indexed citations
3.
Stromberg, Kurt, et al.. (1994). Frequent Immunohistochemical Detection of EGF Supergene Family Members in Ovarian Carcinogenesis. International Journal of Gynecological Pathology. 13(4). 342–347. 30 indexed citations
4.
5.
Núñez, Gabriel, David M. Hockenbery, Timothy J. McDonnell, C M Sorensen, & Stanley J. Korsmeyer. (1991). Bcl-2 maintains B cell memory. Nature. 353(6339). 71–73. 177 indexed citations
6.
Pierce, Carl W., C M Sorensen, & J A Kapp. (1988). Identification of suppressor T cells in virgin non-responder spleen cells responsible for primary unresponsiveness to l -glutamic acid60- l -alanine30- l -tyrosine10 (GAT).. The Journal of Immunology. 141(1). 64–70. 1 indexed citations
7.
Sorensen, C M & C W Pierce. (1986). Identification and characterization of a suppressor T cell hybridoma specifically inducible by l-glutamic acid60-l-alanine30-l-tyrosine10 (GAT).. The Journal of Immunology. 137(5). 1455–1461. 3 indexed citations
8.
9.
Poon, Randy Y.C., J A Kapp, C W Pierce, & C M Sorensen. (1986). Characterization of two monoclonal idiotype-binding suppressor T cell factors specific for the antibody response to l-glutamic acid60-l-alanine30-l-tyrosine10 (GAT).. The Journal of Immunology. 137(12). 3709–3716. 3 indexed citations
10.
Sorensen, C M, Robert J. Hayashi, & Carl W. Pierce. (1985). Identification of Igh-C-linked determinants on suppressor T cell hybrids and factors specific for L-glutamic acid60-L-alanine30-L-tyrosine10 (GAT).. The Journal of Experimental Medicine. 162(3). 1044–1059. 2 indexed citations
11.
Kapp, Judith A., C M Sorensen, & Carl W. Pierce. (1985). [22] Antigen-specific suppressor factors from hybridoma cell lines. Methods in enzymology on CD-ROM/Methods in enzymology. 116. 303–311.
12.
Pierce, Carl W., C M Sorensen, & J A Kapp. (1985). T cell subsets regulating antibody responses to l-glutamic acid60-l-alanine30-l-tyrosine10 (GAT) in virgin and immunized nonresponder mice.. The Journal of Immunology. 134(1). 29–36. 10 indexed citations
13.
Kapp, Judith A., Carl W. Pierce, & C M Sorensen. (1984). Antigen-Specific Suppressor T-Cell Factors. Hospital Practice. 19(8). 85–98. 1 indexed citations
14.
Pierce, Carl W., J A Kapp, C M Sorensen, & JoAnn Trial. (1984). T cell subsets in (responder x nonresponder)F1 mice regulating antibody responses to l-glutamic acid60-l-alanine30-l-tyrosine (GAT).. The Journal of Immunology. 133(6). 2874–2881. 2 indexed citations
15.
16.
Sorensen, C M, Carl W. Pierce, & David R. Webb. (1983). Purification and characterization of an L-glutamic acid60-L-alanine30-L-tyrosine10 (GAT)-specific suppressor factor from genetic responder mice.. The Journal of Experimental Medicine. 158(4). 1034–1047. 5 indexed citations
17.
Kronenberg, Mitchell, Michael Steinmetz, J. Kobori, et al.. (1983). RNA transcripts for I-J polypeptides are apparently not encoded between the I-A and I-E subregions of the murine major histocompatibility complex.. Proceedings of the National Academy of Sciences. 80(18). 5704–5708. 101 indexed citations
18.
Trial, JoAnn, J A Kapp, C W Pierce, et al.. (1983). Expression of cell surface antigens by suppressor T cell hybridomas. I. Comparison of phenotype and function.. The Journal of Immunology. 130(2). 565–572. 14 indexed citations
19.
20.
Webb, David R., Barbara A. Araneo, Judith A. Kapp, et al.. (1982). Purification and Biochemical Analysis of Antigen-Specific Suppressor Factors Isolated from T-Cell Hybridomas. Current topics in microbiology and immunology. 100. 53–59. 2 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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