Krishnan Ramalingam

21 total papers · 780 total citations
17 papers, 603 citations indexed

About

Krishnan Ramalingam is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, Krishnan Ramalingam has authored 17 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Pharmacology. Recurrent topics in Krishnan Ramalingam's work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers) and Circular RNAs in diseases (3 papers). Krishnan Ramalingam is often cited by papers focused on MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers) and Circular RNAs in diseases (3 papers). Krishnan Ramalingam collaborates with scholars based in India, United States and Saudi Arabia. Krishnan Ramalingam's co-authors include Durairaj Sekar, Bindu Menon, Devarajan Karunagaran, P. Mani, A. Subramoniam, V.V. Asha, Rajeev Kumar, Hairul-Islam Mohamed Ibrahim, Krishnaraj Thirugnanasambantham and Baskaran Rajasekaran and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gene and American Journal of Orthodontics and Dentofacial Orthopedics.

In The Last Decade

Krishnan Ramalingam

17 papers receiving 586 citations

Author Peers

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

Author Last Decade Papers Cites
Krishnan Ramalingam 258 169 68 67 59 17 603
Yiye Shao 329 1.3× 230 1.4× 42 0.6× 86 1.3× 30 0.5× 22 628
G Czechowska 168 0.7× 47 0.3× 57 0.8× 63 0.9× 41 0.7× 32 625
Yonghao Feng 233 0.9× 127 0.8× 24 0.4× 58 0.9× 23 0.4× 21 510
Silvia Mahmood 185 0.7× 64 0.4× 24 0.4× 32 0.5× 53 0.9× 17 554
Alba Vecchini 307 1.2× 65 0.4× 87 1.3× 35 0.5× 30 0.5× 35 658
Shanying Huang 300 1.2× 75 0.4× 23 0.3× 82 1.2× 24 0.4× 30 606
Lakshmanan Jagannathan 239 0.9× 65 0.4× 46 0.7× 29 0.4× 13 0.2× 18 539
Thorsten J. Maier 245 0.9× 72 0.4× 39 0.6× 46 0.7× 10 0.2× 24 664
Wan-Yu Lo 259 1.0× 83 0.5× 24 0.4× 35 0.5× 22 0.4× 16 696
Hsiang-Yu Tang 315 1.2× 64 0.4× 26 0.4× 54 0.8× 56 0.9× 37 657

Countries citing papers authored by Krishnan Ramalingam

Since Specialization
Citations

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

Fields of papers citing papers by Krishnan Ramalingam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishnan Ramalingam

This figure shows the co-authorship network connecting the top 25 collaborators of Krishnan Ramalingam. A scholar is included among the top collaborators of Krishnan Ramalingam 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 Krishnan Ramalingam. Krishnan Ramalingam 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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