J. Peter Cegielski

5.6k citations
71 papers · 2.9k indexed · h-index 25
Topics
Tuberculosis Research and Epidemiology (56 papers)Pneumocystis jirovecii pneumonia detection and treatment (22 papers)Pneumonia and Respiratory Infections (17 papers)

In The Last Decade

J. Peter Cegielski

69 papers receiving 2.8k citations

Peers

J. Peter Cegielski
Comparison fields: 5 of 135
  • Infectious Diseases 2.3k
  • Epidemiology 1.8k
  • Surgery 910
  • Molecular Biology 206
  • Nutrition and Dietetics 155
Replace P R Narayanan with:
P R Narayanan India
Nathan Kapata Zambia
Mercedes C. Becerra United States
Charalambos Sismanidis Switzerland
Simon Tiberi United Kingdom
Ali Akbar Velayati Iran
Neha Shah United States
Lourdes García‐García Mexico
Petros Isaakidis South Africa
Sayera Banu Bangladesh
J. Peter Cegielski relative to P R Narayanan India P R Narayanan's profile →
Citations per field
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P R Narayanan · 1×
Citations per year

Countries citing papers authored by J. Peter Cegielski

Since Specialization
Citations

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

Fields of papers citing papers by J. Peter Cegielski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Peter Cegielski. 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 J. Peter Cegielski. The network helps show where J. Peter Cegielski may publish in the future.

Co-authorship network of co-authors of J. Peter Cegielski

This figure shows the co-authorship network connecting the top 25 collaborators of J. Peter Cegielski. A scholar is included among the top collaborators of J. Peter Cegielski 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 J. Peter Cegielski. J. Peter Cegielski 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
#WorkIndexed citations
1 1
2 0
3 16
4 1
5 8
6 5
7 1
8 6
9 5
10 8
11 29
12 114
13 65
14 44
15
A web-based laboratory information system to improve quality of care of tuberculosis patients in Peru: functional requirements, implementation and usage statistics
2
16 134
17 89
18 38
19 6
20 48

About J. Peter Cegielski

J. Peter Cegielski is a scholar working on Infectious Diseases, Epidemiology and Applied Microbiology and Biotechnology, having authored 71 papers that have together received 2.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (56 papers), Pneumocystis jirovecii pneumonia detection and treatment (22 papers) and Pneumonia and Respiratory Infections (17 papers). The work is most often cited by research in Infectious Diseases (2.3k citations), Epidemiology (1.8k citations) and Surgery (910 citations). J. Peter Cegielski has collaborated with scholars based in United States, Switzerland and Peru. Frequent co-authors include David N. McMurray, Ekaterina V. Kurbatova, Marcos Espinal, Lenore Arab, Joan Cornoni‐Huntley, Vaira Leimane, Carole D. Mitnick, Rajesh Gupta, Joseph S. Cavanaugh and Vija Riekstiņa. Their work appears in journals such as The Lancet, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

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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