Kai Kliiman
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Epidemiology top 5%
- Pneumocystis jirovecii pneumonia detection and treatment
- Mycobacterium research and diagnosis
- Pneumonia and Respiratory Infections
Papers in
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- Tuberculosis Research and Epidemiology 11
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- Pneumocystis jirovecii pneumonia detection and treatment 5
- Pneumonia and Respiratory Infections 5
- HIV, Drug Use, Sexual Risk 2
- Co-authors
- Alan Altraja (3 shared papers)Giovanni Battista Migliori (4 shared papers)Christoph Lange (3 shared papers)Daniela María Cirillo (3 shared papers)Antonio Spanevello (2 shared papers)Rosella Centis (3 shared papers)Giovanni Ferrara (1 shared paper)Giovanni Sotgiu (2 shared papers)
- Journals
- European Respiratory Journal (5 papers)Annals of Internal Medicine (1 paper)The Lancet (1 paper)International Journal of Drug Policy (1 paper)Emerging infectious diseases (1 paper)
- Partner nations
- EstoniaItalyUnited States
In The Last Decade
Kai Kliiman
12 papers receiving 707 citations
Peers
Comparison fields: 5 of 66
- Infectious Diseases 635
- Epidemiology 545
- Surgery 278
- Molecular Medicine 28
- Toxicology 5
Countries citing papers authored by Kai Kliiman
This map shows the geographic impact of Kai Kliiman'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 Kai Kliiman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Kliiman more than expected).
Fields of papers citing papers by Kai Kliiman
This network shows the impact of papers produced by Kai Kliiman. 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 Kai Kliiman. The network helps show where Kai Kliiman may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Kliiman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 163 | |
| 2 | 2007 | 127 | |
| 3 | 2009 | 108 | |
| 4 | 2008 | 96 | |
| 5 | Predictors and mortality associated with treatment default in pulmonary tuberculosis. | 2010 | 64 |
| 6 | 2012 | 49 | |
| 7 | 2009 | 46 | |
| 8 | 2012 | 31 | |
| 9 | 2014 | 17 | |
| 10 | 2015 | 11 | |
| 11 | 2011 | 8 | |
| 12 | 2013 | 5 |
About Kai Kliiman
Kai Kliiman is a scholar working on Infectious Diseases, Epidemiology, Surgery, Hepatology and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 725 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Pneumonia and Respiratory Infections (5 papers), Diagnosis and treatment of tuberculosis (2 papers), HIV, Drug Use, Sexual Risk (2 papers), Hepatitis C virus research (2 papers), Infectious Diseases and Tuberculosis (2 papers) and Sarcoidosis and Beryllium Toxicity Research (1 paper). The work is most often cited by research in Infectious Diseases (635 citations), Epidemiology (545 citations), Surgery (278 citations), Molecular Medicine (28 citations) and Toxicology (5 citations). Kai Kliiman has collaborated with scholars based in Estonia, Italy and United States. Frequent co-authors include Alan Altraja, Giovanni Battista Migliori, Christoph Lange, Daniela María Cirillo, Antonio Spanevello, Rosella Centis, Giovanni Ferrara, Giovanni Sotgiu, Giorgio Besozzi and Luigi Ruffo Codecasa. Their work appears in journals such as European Respiratory Journal, Annals of Internal Medicine, The Lancet, International Journal of Drug Policy and Emerging infectious diseases.
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.