Keith G. Lieding

578 total citations
6 papers, 391 citations indexed

About

Keith G. Lieding is a scholar working on Surgery, Gender Studies and Molecular Biology. According to data from OpenAlex, Keith G. Lieding has authored 6 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Gender Studies and 1 paper in Molecular Biology. Recurrent topics in Keith G. Lieding's work include Diversity and Career in Medicine (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Delphi Technique in Research (1 paper). Keith G. Lieding is often cited by papers focused on Diversity and Career in Medicine (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Delphi Technique in Research (1 paper). Keith G. Lieding collaborates with scholars based in United States. Keith G. Lieding's co-authors include Thomas H. Corbett, Richard G. Cornell, Judy L. Endres, Geoffrey A. Lane, Stephen A. Koff, Macdonald Dick, Herbert Kaufer and Robert N. Hensinger and has published in prestigious journals such as The Journal of Urology, Anesthesiology and Anesthesia & Analgesia.

In The Last Decade

Keith G. Lieding

6 papers receiving 298 citations

Peers

Keith G. Lieding
Comparison fields: 5 of 76
  • Developmental Neuroscience 155
  • Anesthesiology and Pain Medicine 124
  • Health, Toxicology and Mutagenesis 69
  • Cancer Research 59
  • Cardiology and Cardiovascular Medicine 53
Replace Judy L. Endres with:
Judy L. Endres United States
Roseanna Presutti Canada
Benjamin G. Fisher United Kingdom
Hamdi Özkara Türkiye
Isabelle Hamon France
Yingying Jiang China
Nicole R. Dobson United States
Sachidanand Jee Bharati India
Jason Moss United States
Kentaro Sugimoto Japan
Judy L. Endres United States View profile →
Citations per field, relative to Keith G. Lieding
Keith G. Lieding · 1×
Citations per year, relative to Keith G. Lieding
Keith G. Lieding · 1×

Countries citing papers authored by Keith G. Lieding

Since Specialization
Citations

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

Fields of papers citing papers by Keith G. Lieding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith G. Lieding. 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 Keith G. Lieding. The network helps show where Keith G. Lieding may publish in the future.

Co-authorship network of co-authors of Keith G. Lieding

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 2
2 2
3 11
4 6
5 280
6 90

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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