Robert Kruklitis
Impact in
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- Bacterial Genetics and Biotechnology
Papers in
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- Lung Cancer Diagnosis and Treatment 5
- Tracheal and airway disorders 3
- Lung Cancer Treatments and Mutations 3
- Pleural and Pulmonary Diseases 2
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- DNA Repair Mechanisms 3
- RNA modifications and cancer 2
- Co-authors
- H. Nakai (2 shared papers)Hiroshi Nakai (1 shared paper)Peter DeLong (4 shared papers)Steven Μ. Albelda (4 shared papers)Sunil Singhal (4 shared papers)Larry R. Kaiser (3 shared papers)Veena Kapoor (3 shared papers)Leslie A. Litzky (2 shared papers)
- Journals
- CHEST Journal (3 papers)Respiration (2 papers)Cancer Biology & Therapy (2 papers)Journal of Biological Chemistry (2 papers)Seminars in Respiratory and Critical Care Medicine (1 paper)
- Partner nations
- United States
In The Last Decade
Robert Kruklitis
22 papers receiving 409 citations
Peers
Comparison fields: 5 of 74
- Genetics 105
- Oncology 101
- Molecular Biology 244
- Pulmonary and Respiratory Medicine 106
- Biotechnology 24
Countries citing papers authored by Robert Kruklitis
This map shows the geographic impact of Robert Kruklitis'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 Robert Kruklitis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Kruklitis more than expected).
Fields of papers citing papers by Robert Kruklitis
This network shows the impact of papers produced by Robert Kruklitis. 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 Robert Kruklitis. The network helps show where Robert Kruklitis may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Kruklitis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 106 | |
| 2 | 2003 | 69 | |
| 3 | 2004 | 42 | |
| 4 | 1995 | 37 | |
| 5 | 2016 | 32 | |
| 6 | 1994 | 32 | |
| 7 | 2005 | 25 | |
| 8 | 2006 | 17 | |
| 9 | 2003 | 13 | |
| 10 | 2022 | 8 | |
| 11 | 2014 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2014 | 5 | |
| 14 | 2017 | 4 | |
| 15 | 2013 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 2015 | 3 | |
| 18 | 2003 | 3 | |
| 19 | 2004 | 2 | |
| 20 | 2005 | 1 |
About Robert Kruklitis
Robert Kruklitis is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Genetics, Surgery and Oncology, having authored 23 papers that have together received 423 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (5 papers), Bacterial Genetics and Biotechnology (3 papers), Tracheal and airway disorders (3 papers), Lung Cancer Treatments and Mutations (3 papers), DNA Repair Mechanisms (3 papers), Pleural and Pulmonary Diseases (2 papers), Telemedicine and Telehealth Implementation (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Genetics (105 citations), Oncology (101 citations), Molecular Biology (244 citations), Pulmonary and Respiratory Medicine (106 citations) and Biotechnology (24 citations). Robert Kruklitis has collaborated with scholars based in United States. Frequent co-authors include H. Nakai, Hiroshi Nakai, Peter DeLong, Steven Μ. Albelda, Sunil Singhal, Larry R. Kaiser, Veena Kapoor, Leslie A. Litzky, Daniel H. Sterman and Michael E. Friscia. Their work appears in journals such as CHEST Journal, Respiration, Cancer Biology & Therapy, Journal of Biological Chemistry and Seminars in 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.