Raju Kanukula

62 total papers · 660 total citations
37 papers, 377 citations indexed

About

Raju Kanukula is a scholar working on Statistics, Probability and Uncertainty, Cardiology and Cardiovascular Medicine and Pharmacology. According to data from OpenAlex, Raju Kanukula has authored 37 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics, Probability and Uncertainty, 9 papers in Cardiology and Cardiovascular Medicine and 5 papers in Pharmacology. Recurrent topics in Raju Kanukula's work include Meta-analysis and systematic reviews (15 papers), Blood Pressure and Hypertension Studies (8 papers) and Musculoskeletal pain and rehabilitation (5 papers). Raju Kanukula is often cited by papers focused on Meta-analysis and systematic reviews (15 papers), Blood Pressure and Hypertension Studies (8 papers) and Musculoskeletal pain and rehabilitation (5 papers). Raju Kanukula collaborates with scholars based in Australia, India and United States. Raju Kanukula's co-authors include Dipika Bansal, Kapil Gudala, Abdul Salam, Joanne E. McKenzie, Anthony Rodgers, Matthew J. Page, Neal Haddaway, David Moher, Daniel G. Hamilton and Phi‐Yen Nguyen and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and European Heart Journal.

In The Last Decade

Raju Kanukula

33 papers receiving 368 citations

Author Peers

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

Author Last Decade Papers Cites
Raju Kanukula 90 70 44 38 38 37 377
Marija Ćavar 60 0.7× 61 0.9× 36 0.8× 74 1.9× 25 0.7× 18 374
Alfred Soffer 127 1.4× 42 0.6× 40 0.9× 81 2.1× 27 0.7× 82 437
Laragh Gollogly 35 0.4× 26 0.4× 72 1.6× 73 1.9× 34 0.9× 23 384
Camilla Hansen Nejstgaard 24 0.3× 82 1.2× 80 1.8× 27 0.7× 77 2.0× 24 383
Noemi Hummel 17 0.2× 68 1.0× 26 0.6× 26 0.7× 71 1.9× 22 384
Samer Saadi 41 0.5× 33 0.5× 16 0.4× 58 1.5× 16 0.4× 31 400
Ting-qian Li 25 0.3× 64 0.9× 52 1.2× 18 0.5× 17 0.4× 27 364
Alice Josephine Fauci 45 0.5× 11 0.2× 37 0.8× 19 0.5× 34 0.9× 31 442
Luis Carlos Saiz 122 1.4× 7 0.1× 41 0.9× 55 1.4× 18 0.5× 40 377
Xiyan Zhao 23 0.3× 27 0.4× 42 1.0× 74 1.9× 7 0.2× 22 406

Countries citing papers authored by Raju Kanukula

Since Specialization
Citations

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

Fields of papers citing papers by Raju Kanukula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raju Kanukula

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