Kane Hadley

9.7k total citations
2 papers, 12 citations indexed

About

Kane Hadley is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Kane Hadley has authored 2 papers receiving a total of 12 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 2 papers in Epidemiology and 1 paper in Surgery. Recurrent topics in Kane Hadley's work include Tuberculosis Research and Epidemiology (2 papers), Mycobacterium research and diagnosis (2 papers) and Infectious Diseases and Tuberculosis (1 paper). Kane Hadley is often cited by papers focused on Tuberculosis Research and Epidemiology (2 papers), Mycobacterium research and diagnosis (2 papers) and Infectious Diseases and Tuberculosis (1 paper). Kane Hadley collaborates with scholars based in United States and Guadeloupe. Kane Hadley's co-authors include Kristin P. Bennett, Scott Vandenberg, David Couvin, Nalin Rastogi and Cagri Ozcaglar and has published in prestigious journals such as BioMed Research International.

In The Last Decade

Kane Hadley

2 papers receiving 12 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kane Hadley United States 2 8 8 7 2 2 2 12
Shubham Sharma India 3 7 0.9× 7 0.9× 4 0.6× 2 1.0× 3 1.5× 5 20
Michael Städt Germany 3 5 0.6× 9 1.1× 8 1.1× 2 1.0× 5 21
Amel Ouyahia Algeria 3 8 1.0× 9 1.1× 9 1.3× 1 0.5× 11 22
J. F. Baldwin United States 3 8 1.0× 6 0.8× 7 1.0× 4 21
Spiridon Deftereos Greece 3 7 0.9× 8 1.0× 4 0.6× 1 0.5× 1 0.5× 4 19
Camille Granger France 2 6 0.8× 5 0.6× 5 0.7× 1 0.5× 2 1.0× 3 17
R. Sharvill United Kingdom 2 5 0.6× 6 0.8× 9 1.3× 2 14
B. Konaté Mali 2 11 1.4× 9 1.1× 4 0.6× 5 11
Brooke Douglas Canada 2 6 0.8× 5 0.6× 6 0.9× 2 19

Countries citing papers authored by Kane Hadley

Since Specialization
Citations

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

Fields of papers citing papers by Kane Hadley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kane Hadley

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

All Works

2 of 2 papers shown
1.
Couvin, David, et al.. (2014). PredictingMycobacterium tuberculosisComplex Clades Using Knowledge-Based Bayesian Networks. BioMed Research International. 2014. 1–11. 9 indexed citations

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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