Raju Kanukula

677 total citations
38 papers, 388 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 38 papers receiving a total of 388 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, David Moher, Neal Haddaway, Daniel G. Hamilton and Sandeep P. Kishore and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and European Heart Journal.

In The Last Decade

Raju Kanukula

34 papers receiving 380 citations

Peers

Raju Kanukula
Comparison fields: 5 of 111
  • Cardiology and Cardiovascular Medicine 94
  • Statistics, Probability and Uncertainty 75
  • Public Health, Environmental and Occupational Health 44
  • Economics and Econometrics 40
  • Surgery 38
Replace François Gueyffier with:
François Gueyffier France
Tamer İnal Türkiye
Miriam Hattle United Kingdom
Camilla Hansen Nejstgaard Denmark
Matija Borić Croatia
Noemi Hummel United States
Damian McEntegart United Kingdom
Christopher O’Regan United Kingdom
Alice M. Mascette United States
Oliver Langford United States
François Gueyffier France View profile →
Citations per field, relative to Raju Kanukula
Raju Kanukula · 1×
Citations per year, relative to Raju Kanukula
Raju Kanukula · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 2
4 1
5 4
6 0
7 4
8 1
9 11
10 5
11 38
12 0
13 37
14 3
15 5
16 6
17
High Prevalence of Hypovitaminosis D in Indian Chronic Low Back Patients.
20
18 2
19 1
20 1

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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