C Limas

685 citations
12 papers · 532 · h-index 10

Impact in

Papers in

C Limas

12 papers receiving 490 citations

Peers

C Limas
Comparison fields: 5 of 62
  • Cardiology and Cardiovascular Medicine 286
  • Radiology, Nuclear Medicine and Imaging 76
  • Cellular and Molecular Neuroscience 63
  • Animal Science and Zoology 33
  • Molecular Biology 218
Replace Rosemarie Morwinski with:
Rosemarie Morwinski Germany
Chikao Iwai Japan
Donny Strosberg France
Hyacinth Paul United States
Shijun Huang United States
Beate Pfeifle Germany
K.‐D. Schlüter Germany
Takahiro Tsushima United States
Ali R. Keramati United States
Ilona Cuijpers Netherlands
C Limas relative to Rosemarie Morwinski Germany Rosemarie Morwinski's profile →
Citations per field
00.5×1.5×2.0×
Rosemarie Morwinski · 1×
Citations per year

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-authors

The 6 scholars most cited alongside C Limas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C Limas Line = papers co-authored together C Limas links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1989279
2 198460
3 197938
4 198532
5 198030
6 199523
7 199321
8 198418
9 197813
10
Relationship of epidermal growth factor receptor detectability with the A, B, H blood group antigens. Emphasis on normal and neoplastic urothelium.
199110
11 19797
12
Anti beta receptor antibodies in familial cardiomyopathy
19911

About C Limas

C Limas is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery and Pharmacology, having authored 12 papers that have together received 532 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cardiomyopathy and Myosin Studies (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Viral Infections and Immunology Research (2 papers), RNA and protein synthesis mechanisms (1 paper), Urologic and reproductive health conditions (1 paper) and Hormonal Regulation and Hypertension (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (286 citations), Radiology, Nuclear Medicine and Imaging (76 citations), Cellular and Molecular Neuroscience (63 citations), Animal Science and Zoology (33 citations) and Molecular Biology (218 citations). C Limas has collaborated with scholars based in United States. Frequent co-authors include Constantinos J. Limas, Irvin F. Goldenberg, Robert B. Blair, Harry L. Graber, C F Wooley and Harisios Boudoulas. Their work appears in journals such as Circulation Research, Journal of Molecular and Cellular Cardiology, The Journal of Pathology, Biochimica et Biophysica Acta (BBA) - General Subjects and Hypertension.

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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