C. L. R. Bartlett
- Infectious Diseases top 2%
- Endocrinology top 0.5%
- Food Science top 2%
- Dermatology top 1%
- Health, Toxicology and Mutagenesis top 5%
- Co-authors
- Barry M. FarrDavid L. MillerJ WadsworthJ. O'H. TobinPhilip P. MortimerSusan P. Fisher‐HochM. J. AndersonS M Hall
- Topics
- Legionella and Acanthamoeba research (21 papers)Travel-related health issues (12 papers)Vibrio bacteria research studies (6 papers)
- Partner nations
- United KingdomUnited StatesGreece
In The Last Decade
C. L. R. Bartlett
56 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Infectious Diseases 665
- Endocrinology 636
- Food Science 429
- Dermatology 342
- Health, Toxicology and Mutagenesis 328
Countries citing papers authored by C. L. R. Bartlett
This map shows the geographic impact of C. L. R. Bartlett'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 C. L. R. Bartlett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. L. R. Bartlett more than expected).
Fields of papers citing papers by C. L. R. Bartlett
This network shows the impact of papers produced by C. L. R. Bartlett. 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 C. L. R. Bartlett. The network helps show where C. L. R. Bartlett may publish in the future.
Co-authorship network of co-authors of C. L. R. Bartlett
This figure shows the co-authorship network connecting the top 25 collaborators of C. L. R. Bartlett. A scholar is included among the top collaborators of C. L. R. Bartlett 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 C. L. R. Bartlett. C. L. R. Bartlett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Survival Prediction of Breast Cancer Patient from Gene Methylation Data with Deep LSTM Network and Ordinal Cox Model. | 1 |
| 3 | Survival Analysis of Breast Cancer Utilizing Integrated Features with Ordinal Cox Model and Auxiliary Loss. | 1 |
| 4 | Case-Based Reasoning for the Analysis of Methylation Data in Oncology. | 1 |
| 5 | 99 | |
| 6 | 147 | |
| 7 | Surveillance and control of communicable diseases related to passenger ships in Europe. | 8 |
| 8 | 12 | |
| 9 | 29 | |
| 10 | 94 | |
| 11 | 50 | |
| 12 | 19 | |
| 13 | Legionnaires' disease surveillance: England and Wales 1994. | 14 |
| 14 | 108 | |
| 15 | 137 | |
| 16 | 10 | |
| 17 | 25 | |
| 18 | 5 | |
| 19 | 80 | |
| 20 | 85 |
About C. L. R. Bartlett
C. L. R. Bartlett is a scholar working on Endocrinology, Public Health, Environmental and Occupational Health and Health, Toxicology and Mutagenesis, having authored 56 papers that have together received 2.3k indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (21 papers), Travel-related health issues (12 papers) and Vibrio bacteria research studies (6 papers). The work is most often cited by research in Endocrinology (636 citations), Dermatology (342 citations) and Infectious Diseases (665 citations). C. L. R. Bartlett has collaborated with scholars based in United Kingdom, United States and Greece. Frequent co-authors include Barry M. Farr, David L. Miller, J Wadsworth, J. O'H. Tobin, Philip P. Mortimer, Susan P. Fisher‐Hoch, M. J. Anderson, S M Hall, Elizabeth Lewis and Shane Jones. Their work appears in journals such as The Lancet, Annals of Internal Medicine and Bioinformatics.
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.