Cornelia Hoch‐Ligeti
- Molecular Biology
- Cancer Research top 10%
- Health, Toxicology and Mutagenesis top 10%
- Oncology
- Biochemistry top 10%
- Co-authors
- Mary F. ArgusJoseph C. ArcosJ. C. ArcosJ. F. A. McManusRajindar S. SohalHarold L. StewartTracey BrownC. C. Congdon
- Topics
- Amino Acid Enzymes and Metabolism (3 papers)Biochemical effects in animals (3 papers)Hormonal Regulation and Hypertension (3 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Cornelia Hoch‐Ligeti
49 papers receiving 485 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 179
- Cancer Research 178
- Health, Toxicology and Mutagenesis 71
- Oncology 68
- Biochemistry 61
Countries citing papers authored by Cornelia Hoch‐Ligeti
This map shows the geographic impact of Cornelia Hoch‐Ligeti'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 Cornelia Hoch‐Ligeti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cornelia Hoch‐Ligeti more than expected).
Fields of papers citing papers by Cornelia Hoch‐Ligeti
This network shows the impact of papers produced by Cornelia Hoch‐Ligeti. 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 Cornelia Hoch‐Ligeti. The network helps show where Cornelia Hoch‐Ligeti may publish in the future.
Co-authorship network of co-authors of Cornelia Hoch‐Ligeti
This figure shows the co-authorship network connecting the top 25 collaborators of Cornelia Hoch‐Ligeti. A scholar is included among the top collaborators of Cornelia Hoch‐Ligeti 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 Cornelia Hoch‐Ligeti. Cornelia Hoch‐Ligeti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | SIGNIFICANCE OF MULTINUCLEATED EPITHELIAL CELLS IN BRONCHIAL WASHINGS. | 0 |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 27 | |
| 7 | 21 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 46 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 21 | |
| 16 | 12 | |
| 17 | 4 | |
| 18 | Studies on the reduction of the tetrazolium derivatives by normal and diseased human tissues. | 3 |
| 19 | 12 | |
| 20 | 1 |
About Cornelia Hoch‐Ligeti
Cornelia Hoch‐Ligeti is a scholar working on Chemical Health and Safety, Pharmaceutical Science and Biochemistry, having authored 51 papers that have together received 583 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (3 papers), Biochemical effects in animals (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Cancer Research (178 citations), Biochemistry (61 citations) and Pharmacology (58 citations). Cornelia Hoch‐Ligeti has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Mary F. Argus, Joseph C. Arcos, J. C. Arcos, J. F. A. McManus, Rajindar S. Sohal, Harold L. Stewart, Tracey Brown, C. C. Congdon, Allan H. Conney and Camilo Restrepo. Their work appears in journals such as Science, JAMA and JNCI Journal of the National Cancer Institute.
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.