Caroline Hwang
Impact in
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Colorectal Cancer Screening and Detection
-
- Cancer Genomics and Diagnostics
Papers in
- Co-authors
- Uma Mahadevan (1 shared paper)Harold Frucht (9 shared papers)John A. Chabot (7 shared papers)Wendy K. Chung (5 shared papers)Robert L. Fine (1 shared paper)Stavros N. Stavropoulos (1 shared paper)Elizabeth C. Verna (3 shared papers)Heidrun Rotterdam (2 shared papers)
- Journals
- Gastroenterology (8 papers)Inflammatory Bowel Diseases (4 papers)Clinical Cancer Research (2 papers)Journal of Clinical Oncology (2 papers)Cancer (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
Caroline Hwang
28 papers receiving 704 citations
Peers
Comparison fields: 5 of 83
- Oncology 274
- Cancer Research 147
- Genetics 248
- Gastroenterology 41
- Epidemiology 180
Countries citing papers authored by Caroline Hwang
This map shows the geographic impact of Caroline Hwang'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 Caroline Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Hwang more than expected).
Fields of papers citing papers by Caroline Hwang
This network shows the impact of papers produced by Caroline Hwang. 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 Caroline Hwang. The network helps show where Caroline Hwang may publish in the future.
Co-authors
The 25 scholars most cited alongside Caroline Hwang, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 176 | |
| 2 | 2010 | 152 | |
| 3 | 2016 | 61 | |
| 4 | 2013 | 54 | |
| 5 | 2020 | 53 | |
| 6 | 2014 | 49 | |
| 7 | 2014 | 42 | |
| 8 | 2022 | 38 | |
| 9 | 2020 | 19 | |
| 10 | 2014 | 18 | |
| 11 | 2016 | 16 | |
| 12 | 2011 | 7 | |
| 13 | 2018 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2012 | 3 | |
| 16 | 2008 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2014 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2011 | 1 |
About Caroline Hwang
Caroline Hwang is a scholar working on Oncology, Genetics, Cancer Research, Epidemiology and Surgery, having authored 29 papers that have together received 715 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Pancreatic and Hepatic Oncology Research (6 papers), Economic and Financial Impacts of Cancer (5 papers), Inflammatory Bowel Disease (4 papers), BRCA gene mutations in cancer (3 papers), Microscopic Colitis (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Oncology (274 citations), Cancer Research (147 citations), Genetics (248 citations), Gastroenterology (41 citations) and Epidemiology (180 citations). Caroline Hwang has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Uma Mahadevan, Harold Frucht, John A. Chabot, Wendy K. Chung, Robert L. Fine, Stavros N. Stavropoulos, Elizabeth C. Verna, Heidrun Rotterdam, Martin Prince and Uma Mahadevan. Their work appears in journals such as Gastroenterology, Inflammatory Bowel Diseases, Clinical Cancer Research, Journal of Clinical Oncology and Cancer.
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.