Ken B. Waites

14.4k total citations · 2 hit papers
227 papers, 10.3k citations indexed

About

Ken B. Waites is a scholar working on Epidemiology, Microbiology and Infectious Diseases. According to data from OpenAlex, Ken B. Waites has authored 227 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Epidemiology, 100 papers in Microbiology and 43 papers in Infectious Diseases. Recurrent topics in Ken B. Waites's work include Pneumonia and Respiratory Infections (65 papers), Microbial infections and disease research (57 papers) and Reproductive tract infections research (52 papers). Ken B. Waites is often cited by papers focused on Pneumonia and Respiratory Infections (65 papers), Microbial infections and disease research (57 papers) and Reproductive tract infections research (52 papers). Ken B. Waites collaborates with scholars based in United States, China and Canada. Ken B. Waites's co-authors include Deborah F. Talkington, T. Prescott Atkinson, Li Xiao, Lynn B. Duffy, Robert L. Schelonka, Mitchell F. Balish, Donna M. Crabb, Gail H. Cassell, Kay C. Canupp and David L. Jaye and has published in prestigious journals such as Annals of Internal Medicine, The Journal of Immunology and Gastroenterology.

In The Last Decade

Ken B. Waites

222 papers receiving 9.9k citations

Hit Papers

Mycoplasma pneumoniaeand Its Role as a Human Pathogen 2004 2026 2011 2018 2004 2017 250 500 750

Peers

Ken B. Waites
Comparison fields: 5 of 151
  • Epidemiology 5.5k
  • Microbiology 4.3k
  • Public Health, Environmental and Occupational Health 1.5k
  • Surgery 1.5k
  • Infectious Diseases 1.5k
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W. Michael Scheld United States View profile →
Citations per field, relative to Ken B. Waites
Ken B. Waites · 1×
Citations per year, relative to Ken B. Waites
Ken B. Waites · 1×

Countries citing papers authored by Ken B. Waites

Since Specialization
Citations

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

Fields of papers citing papers by Ken B. Waites

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken B. Waites. 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 Ken B. Waites. The network helps show where Ken B. Waites may publish in the future.

Co-authorship network of co-authors of Ken B. Waites

This figure shows the co-authorship network connecting the top 25 collaborators of Ken B. Waites. A scholar is included among the top collaborators of Ken B. Waites 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 Ken B. Waites. Ken B. Waites 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 0
2 22
3 9
4 7
5 14
6 34
7 9
8 8
9 13
10 15
11 107
12 20
13
Comparative In Vitro Susceptibilities of a New Investigational Macrolide CEM-101 Against Human Mycoplasmas and Ureaplasmas
1
14 289
15 52
16 11
17 37
18 19
19 12
20
Isolation of Mycoplasma hominis and Ureaplasma urealyticum from amniotic fluid at 16-20 weeks of gestation: potential effect on outcome of pregnancy.
176

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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