Daniel Ching
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Dermatology top 10%
Papers in ⓘ
-
- Chemotherapy-related skin toxicity 4
-
- Autoimmune and Inflammatory Disorders Research 3
- Co-authors
- Robert L. Raffaı̈ (4 shared papers)Kang Li (3 shared papers)Kai Yuen Wong (4 shared papers)Lisa K. Stamp (4 shared papers)Marian E. Melish (1 shared paper)N. J. Marchette (1 shared paper)Andrew Harrison (3 shared papers)Mark Soldin (1 shared paper)
- Journals
- Annals of the Rheumatic Diseases (3 papers)Lara D. Veeken (2 papers)Journal of Cardiovascular Pharmacology (2 papers)Pathology (2 papers)International Journal of Surgery (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Daniel Ching
28 papers receiving 416 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 103
- Dermatology 48
- Rheumatology 74
- Immunology 91
- Hematology 39
Countries citing papers authored by Daniel Ching
This map shows the geographic impact of Daniel Ching'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 Daniel Ching with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ching more than expected).
Fields of papers citing papers by Daniel Ching
This network shows the impact of papers produced by Daniel Ching. 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 Daniel Ching. The network helps show where Daniel Ching may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Ching, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 166 | |
| 2 | 2013 | 41 | |
| 3 | 1990 | 31 | |
| 4 | 2007 | 25 | |
| 5 | 2013 | 24 | |
| 6 | 2017 | 17 | |
| 7 | 2014 | 14 | |
| 8 | 2015 | 14 | |
| 9 | 2019 | 14 | |
| 10 | 2010 | 13 | |
| 11 | 2019 | 10 | |
| 12 | 2019 | 10 | |
| 13 | 2020 | 7 | |
| 14 | 2015 | 6 | |
| 15 | 2015 | 5 | |
| 16 | 2016 | 5 | |
| 17 | 2019 | 5 | |
| 18 | 2014 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2019 | 3 |
About Daniel Ching
Daniel Ching is a scholar working on Dermatology, Hematology, Rheumatology, Genetics and Neurology, having authored 28 papers that have together received 429 indexed citations. Recurring topics across this work include Chemotherapy-related skin toxicity (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Cancer Treatment and Pharmacology (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Spondyloarthritis Studies and Treatments (2 papers). The work is most often cited by research in Cancer Research (103 citations), Dermatology (48 citations), Rheumatology (74 citations), Immunology (91 citations) and Hematology (39 citations). Daniel Ching has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Robert L. Raffaı̈, Kang Li, Kai Yuen Wong, Lisa K. Stamp, Marian E. Melish, N. J. Marchette, Andrew Harrison, Mark Soldin, Joel S. Karliner and Roy Kim. Their work appears in journals such as Annals of the Rheumatic Diseases, Lara D. Veeken, Journal of Cardiovascular Pharmacology, Pathology and International Journal of Surgery.
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.