C. Rajamanickam

54 total papers · 845 total citations
43 papers, 691 citations indexed

About

C. Rajamanickam is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Clinical Biochemistry. According to data from OpenAlex, C. Rajamanickam has authored 43 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 16 papers in Cardiology and Cardiovascular Medicine and 7 papers in Clinical Biochemistry. Recurrent topics in C. Rajamanickam's work include Cardiomyopathy and Myosin Studies (13 papers), Cardiac Fibrosis and Remodeling (7 papers) and Metabolism and Genetic Disorders (6 papers). C. Rajamanickam is often cited by papers focused on Cardiomyopathy and Myosin Studies (13 papers), Cardiac Fibrosis and Remodeling (7 papers) and Metabolism and Genetic Disorders (6 papers). C. Rajamanickam collaborates with scholars based in India, United States and Germany. C. Rajamanickam's co-authors include Murray Rabinowitz, Thangaiyan Radhiga, Kodukkur Viswanathan Pugalendi, M. Indira, G. Padmanaban, Patrick K. Umeda, Smilja Jakovcic, A M Sinha, Clifford J. Kavinsky and Senthil Selvaraj and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation Research.

In The Last Decade

C. Rajamanickam

43 papers receiving 634 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
C. Rajamanickam	353	177	103	99	68	43	691
Yiyi Jin	351 1.0×	108 0.6×	66 0.6×	65 0.7×	56 0.8×	31	742
İrfan Değirmenci	217 0.6×	104 0.6×	82 0.8×	125 1.3×	35 0.5×	58	770
Bin Zhang	363 1.0×	105 0.6×	55 0.5×	72 0.7×	45 0.7×	39	784
Yilin Sun	334 0.9×	108 0.6×	123 1.2×	40 0.4×	52 0.8×	48	758
Reem N. El‐Naga	246 0.7×	77 0.4×	103 1.0×	48 0.5×	187 2.8×	32	781
Samar A. Antar	258 0.7×	64 0.4×	45 0.4×	116 1.2×	69 1.0×	25	786
Mona F. El-Azab	305 0.9×	61 0.3×	45 0.4×	76 0.8×	58 0.9×	37	787
Tatiana V. Kirichenko	274 0.8×	85 0.5×	40 0.4×	83 0.8×	48 0.7×	60	754
Hye Yoom Kim	278 0.8×	95 0.5×	91 0.9×	87 0.9×	23 0.3×	65	555
Prahalathan Pichavaram	274 0.8×	49 0.3×	63 0.6×	78 0.8×	39 0.6×	26	684

Countries citing papers authored by C. Rajamanickam

Since Specialization

Citations

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

Fields of papers citing papers by C. Rajamanickam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Rajamanickam

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

All Works

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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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