Clara Eng
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
Papers in
-
- Microbial Natural Products and Biosynthesis 4
- Fungal Biology and Applications 1
-
- Genomics and Phylogenetic Studies 2
- Plant biochemistry and biosynthesis 1
- Co-authors
- Pierre Baldi (2 shared papers)Kevin Bauer (1 shared paper)Peter Sadowski (1 shared paper)D. Whiteson (1 shared paper)Jay D. Keasling (4 shared papers)Leonard Katz (4 shared papers)Satoshi Yuzawa (3 shared papers)Tyler W. H. Backman (1 shared paper)
- Journals
- Biochemistry (2 papers)Nucleic Acids Research (1 paper)British Journal of Dermatology (1 paper)Physical review. D (1 paper)The Journal of Antibiotics (1 paper)
- Partner nations
- United StatesDenmark
In The Last Decade
Clara Eng
7 papers receiving 343 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 31
- Nuclear and High Energy Physics 108
- Pharmacology 99
- Artificial Intelligence 73
- Biotechnology 18
Countries citing papers authored by Clara Eng
This map shows the geographic impact of Clara Eng'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 Clara Eng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara Eng more than expected).
Fields of papers citing papers by Clara Eng
This network shows the impact of papers produced by Clara Eng. 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 Clara Eng. The network helps show where Clara Eng may publish in the future.
Co-authors
The 25 scholars most cited alongside Clara Eng, 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 | 2016 | 131 | |
| 2 | 2021 | 96 | |
| 3 | 2017 | 48 | |
| 4 | 2013 | 36 | |
| 5 | 2016 | 23 | |
| 6 | 2013 | 10 | |
| 7 | 2019 | 2 | |
| 8 | 2022 | 0 |
About Clara Eng
Clara Eng is a scholar working on Pharmacology, Molecular Biology, Oncology, Infectious Diseases and Organic Chemistry, having authored 8 papers that have together received 346 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (4 papers), Cutaneous Melanoma Detection and Management (2 papers), Genomics and Phylogenetic Studies (2 papers), Dermatological diseases and infestations (1 paper), Plant biochemistry and biosynthesis (1 paper), Synthesis and Biological Activity (1 paper), Fungal Biology and Applications (1 paper) and Clinical Reasoning and Diagnostic Skills (1 paper). The work is most often cited by research in Health Informatics (31 citations), Nuclear and High Energy Physics (108 citations), Pharmacology (99 citations), Artificial Intelligence (73 citations) and Biotechnology (18 citations). Clara Eng has collaborated with scholars based in United States and Denmark. Frequent co-authors include Pierre Baldi, Kevin Bauer, Peter Sadowski, D. Whiteson, Jay D. Keasling, Leonard Katz, Satoshi Yuzawa, Tyler W. H. Backman, Héctor García Martín and Constance B. Bailey. Their work appears in journals such as Biochemistry, Nucleic Acids Research, British Journal of Dermatology, Physical review. D and The Journal of Antibiotics.
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.