David Cain
Impact in
-
- Reproductive tract infections research
-
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 2
- Radiomics and Machine Learning in Medical Imaging 1
- Corneal Surgery and Treatments 1
- Co-authors
- Ram Sasisekharan (1 shared paper)V. Sasisekharan (1 shared paper)Kannan Tharakaraman (1 shared paper)Vidya Subramanian (1 shared paper)Gareth L. Ackland (3 shared papers)Paddy Horner (1 shared paper)B J Thomas (1 shared paper)Myra O. McClure (1 shared paper)
- Journals
- Clinical Infectious Diseases (1 paper)European Journal of Immunology (1 paper)Medical dosimetry (1 paper)Cell Host & Microbe (1 paper)Bioconjugate Chemistry (1 paper)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
David Cain
10 papers receiving 174 citations
Peers
Comparison fields: 5 of 66
- Microbiology 29
- Epidemiology 64
- Immunology 36
- Radiology, Nuclear Medicine and Imaging 31
- Infectious Diseases 20
Countries citing papers authored by David Cain
This map shows the geographic impact of David Cain'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 David Cain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Cain more than expected).
Fields of papers citing papers by David Cain
This network shows the impact of papers produced by David Cain. 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 David Cain. The network helps show where David Cain may publish in the future.
Co-authors
The 25 scholars most cited alongside David Cain, 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 | 2014 | 56 | |
| 2 | 1997 | 32 | |
| 3 | 2019 | 22 | |
| 4 | 2019 | 15 | |
| 5 | 2012 | 13 | |
| 6 | 2014 | 12 | |
| 7 | 2021 | 12 | |
| 8 | 2018 | 10 | |
| 9 | 2015 | 5 | |
| 10 | 2019 | 1 |
About David Cain
David Cain is a scholar working on Radiology, Nuclear Medicine and Imaging, Critical Care and Intensive Care Medicine, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 10 papers that have together received 178 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Retinal Diseases and Treatments (1 paper), Protein purification and stability (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Corneal Surgery and Treatments (1 paper). The work is most often cited by research in Microbiology (29 citations), Epidemiology (64 citations), Immunology (36 citations), Radiology, Nuclear Medicine and Imaging (31 citations) and Infectious Diseases (20 citations). David Cain has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Ram Sasisekharan, V. Sasisekharan, Kannan Tharakaraman, Vidya Subramanian, Gareth L. Ackland, Paddy Horner, B J Thomas, Myra O. McClure, D Taylor‐Robinson and Jan Weber. Their work appears in journals such as Clinical Infectious Diseases, European Journal of Immunology, Medical dosimetry, Cell Host & Microbe and Bioconjugate Chemistry.
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.