Kim W. Carter

3.6k total citations · 1 hit paper
59 papers, 2.0k citations indexed

About

Kim W. Carter is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kim W. Carter has authored 59 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Genetics and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kim W. Carter's work include Neonatal Respiratory Health Research (6 papers), Genetic Associations and Epidemiology (6 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers). Kim W. Carter is often cited by papers focused on Neonatal Respiratory Health Research (6 papers), Genetic Associations and Epidemiology (6 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers). Kim W. Carter collaborates with scholars based in Australia, United Kingdom and United States. Kim W. Carter's co-authors include Lyle J. Palmer, Graham L. Hall, Bruce Thompson, Sanja Stanojevic, Richard W. Francis, Brendan Cooper, Brian L. Graham, Pamela A. McCaskie, David Burgner and Denise Anderson and has published in prestigious journals such as Bioinformatics, The Journal of Immunology and PLoS ONE.

In The Last Decade

Kim W. Carter

56 papers receiving 2.0k citations

Hit Papers

Official ERS technical standards: Global Lung Function In... 2017 2026 2020 2023 2017 100 200 300

Peers

Kim W. Carter
Comparison fields: 5 of 142
  • Pulmonary and Respiratory Medicine 569
  • Molecular Biology 559
  • Physiology 236
  • Genetics 235
  • Epidemiology 188
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Jemma B. Wilk United States View profile →
Citations per field, relative to Kim W. Carter
Kim W. Carter · 1×
Citations per year, relative to Kim W. Carter
Kim W. Carter · 1×

Countries citing papers authored by Kim W. Carter

Since Specialization
Citations

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

Fields of papers citing papers by Kim W. Carter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim W. Carter. 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 Kim W. Carter. The network helps show where Kim W. Carter may publish in the future.

Co-authorship network of co-authors of Kim W. Carter

This figure shows the co-authorship network connecting the top 25 collaborators of Kim W. Carter. A scholar is included among the top collaborators of Kim W. Carter 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 Kim W. Carter. Kim W. Carter 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 3
2 8
3 32
4 3
5 102
6 90
7 37
8 27
9 1
10 32
11 15
12 15
13 29
14 14
15 5
16 31
17 29
18 50
19 0
20
Online Training: What's Really Working? What Does Today's Successful Online Professional Development Look Like?.
5

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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