C Limas

685 total citations
12 papers, 481 citations indexed

About

C Limas is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, C Limas has authored 12 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in C Limas's work include Receptor Mechanisms and Signaling (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Cardiomyopathy and Myosin Studies (3 papers). C Limas is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Cardiomyopathy and Myosin Studies (3 papers). C Limas collaborates with scholars based in United States. C Limas's co-authors include Constantinos J. Limas, Irvin F. Goldenberg, Robert B. Blair, Harisios Boudoulas, Harry L. Graber and C F Wooley and has published in prestigious journals such as Circulation Research, Hypertension and American Heart Journal.

In The Last Decade

C Limas

12 papers receiving 457 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 Limas United States 10 282 221 92 58 58 12 481
Michael Fu Sweden 13 391 1.4× 259 1.2× 191 2.1× 30 0.5× 63 1.1× 28 552
Lars R. Herda Germany 11 253 0.9× 152 0.7× 51 0.6× 19 0.3× 49 0.8× 20 407
Donny Strosberg France 7 54 0.2× 213 1.0× 36 0.4× 57 1.0× 31 0.5× 8 371
H. A. Rockman United States 8 262 0.9× 128 0.6× 42 0.5× 17 0.3× 29 0.5× 8 361
Hyacinth Paul United States 5 66 0.2× 253 1.1× 24 0.3× 64 1.1× 13 0.2× 7 396
Masahiro Fujii Japan 12 72 0.3× 132 0.6× 19 0.2× 35 0.6× 83 1.4× 52 449
Richard C. Fentzke United States 9 432 1.5× 392 1.8× 37 0.4× 31 0.5× 17 0.3× 9 678
Takahiro Tsushima United States 11 110 0.4× 150 0.7× 45 0.5× 13 0.2× 19 0.3× 35 549
Editha Andres Saudi Arabia 10 141 0.5× 237 1.1× 16 0.2× 39 0.7× 27 0.5× 20 393
Debra J. McAndrew United Kingdom 12 179 0.6× 139 0.6× 35 0.4× 8 0.1× 40 0.7× 20 388

Countries citing papers authored by C Limas

Since Specialization
Citations

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

Fields of papers citing papers by C Limas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C Limas

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

All Works

12 of 12 papers shown
1.
Limas, C, et al.. (1995). Possible involvement of the HLA-DQB1 gene in susceptibility and resistance to human dilated cardiomyopathy. American Heart Journal. 129(6). 1141–1144. 21 indexed citations
3.
Limas, C. (1991). Relationship of epidermal growth factor receptor detectability with the A, B, H blood group antigens. Emphasis on normal and neoplastic urothelium.. PubMed. 139(1). 131–7. 9 indexed citations
4.
Limas, C, et al.. (1991). Anti beta receptor antibodies in familial cardiomyopathy. 393. 1 indexed citations
5.
Limas, Constantinos J., Irvin F. Goldenberg, & C Limas. (1989). Autoantibodies against beta-adrenoceptors in human idiopathic dilated cardiomyopathy.. Circulation Research. 64(1). 97–103. 256 indexed citations
6.
Limas, C. (1985). Phorbol ester- and diacylglycerol-mediated desensitization of cardiac beta-adrenergic receptors.. Circulation Research. 57(3). 443–449. 30 indexed citations
7.
Limas, Constantinos J. & C Limas. (1984). Decreased isoproterenol-induced "down"-regulation of beta-adrenergic receptors in the myocardium of SHR.. Hypertension. 6(2_pt_2). I31–9. 17 indexed citations
8.
Limas, Constantinos J. & C Limas. (1984). Rapid recovery of cardiac beta-adrenergic receptors after isoproterenol-induced "down"-regulation.. Circulation Research. 55(4). 524–531. 52 indexed citations
9.
Limas, C. (1980). Enhanced calcium transport by sarcoplasmic reticulum in mild cardiac hypertrophy. Journal of Molecular and Cellular Cardiology. 12(10). 1103–1116. 27 indexed citations
10.
Limas, C. (1979). Decreased number of beta-adrenergic receptors in hypertensive vessels. Biochimica et Biophysica Acta (BBA) - General Subjects. 582(3). 533–536. 32 indexed citations
11.
Limas, C. (1979). Myocardial colchicine-binding proteins: Possible relation to DNA synthesis initiation. Journal of Molecular and Cellular Cardiology. 11(11). 1137–1150. 7 indexed citations
12.
Limas, C, et al.. (1978). Myocardial chromatin activation in experimental hyperthyroidism in rats. Role of nuclear non-histone proteins.. Circulation Research. 42(3). 311–316. 10 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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