Christian Parr
- Molecular Biology top 5%
- Oncology top 5%
- Cancer Research top 5%
- Hepatology top 2%
- Genetics top 10%
- Co-authors
- Wen G. JiangGareth M. WatkinsTracey A. MartinRobert E. ManselGaynor DaviesKunio MatsumotoToshikazu NakamuraMalcolm D. Mason
- Topics
- Liver physiology and pathology (15 papers)Trypanosoma species research and implications (7 papers)Metabolism and Genetic Disorders (5 papers)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Christian Parr
65 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 119
- Molecular Biology 1.4k
- Oncology 713
- Cancer Research 476
- Hepatology 463
- Genetics 338
Countries citing papers authored by Christian Parr
This map shows the geographic impact of Christian Parr'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 Christian Parr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Parr more than expected).
Fields of papers citing papers by Christian Parr
This network shows the impact of papers produced by Christian Parr. 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 Christian Parr. The network helps show where Christian Parr may publish in the future.
Co-authorship network of co-authors of Christian Parr
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Parr. A scholar is included among the top collaborators of Christian Parr 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 Christian Parr. Christian Parr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 14 | |
| 3 | 24 | |
| 4 | The transcript expression and protein distribution pattern in human colorectal carcinoma reveal a pivotal role of COM-1/p8 as a tumour suppressor. | 13 |
| 5 | 99 | |
| 6 | 78 | |
| 7 | The potential lymphangiogenic effects of hepatocyte growth factor/scatter factor in vitro and in vivo. | 36 |
| 8 | 118 | |
| 9 | 149 | |
| 10 | 210 | |
| 11 | 85 | |
| 12 | 69 | |
| 13 | 38 | |
| 14 | 38 | |
| 15 | 12 | |
| 16 | 3 | |
| 17 | 7 | |
| 18 | 56 | |
| 19 | 32 | |
| 20 | 20 |
About Christian Parr
Christian Parr is a scholar working on Hepatology, Clinical Biochemistry and Immunology and Allergy, having authored 65 papers that have together received 3.0k indexed citations. Recurring topics across this work include Liver physiology and pathology (15 papers), Trypanosoma species research and implications (7 papers) and Metabolism and Genetic Disorders (5 papers). The work is most often cited by research in Hepatology (463 citations), Immunology and Allergy (221 citations) and Cancer Research (476 citations). Christian Parr has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Wen G. Jiang, Gareth M. Watkins, Tracey A. Martin, Robert E. Mansel, Gaynor Davies, Kunio Matsumoto, Toshikazu Nakamura, Malcolm D. Mason, S.G. Welch and P. Lewis White. Their work appears in journals such as Nature, The Journal of Experimental Medicine and Clinical Infectious Diseases.
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.