Caroline Hwang

1.0k total citations
29 papers, 715 citations indexed

About

Caroline Hwang is a scholar working on Oncology, Genetics and Cancer Research. According to data from OpenAlex, Caroline Hwang has authored 29 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 9 papers in Genetics and 8 papers in Cancer Research. Recurrent topics in Caroline Hwang's work include Cancer Genomics and Diagnostics (8 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Economic and Financial Impacts of Cancer (5 papers). Caroline Hwang is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Economic and Financial Impacts of Cancer (5 papers). Caroline Hwang collaborates with scholars based in United States and Netherlands. Caroline Hwang's co-authors include Uma Mahadevan, Harold Frucht, John A. Chabot, Wendy K. Chung, Robert L. Fine, Elizabeth C. Verna, Martin Prince, Uma Mahadevan, Heidrun Rotterdam and Peter D. Stevens and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and Cancer.

In The Last Decade

Caroline Hwang

28 papers receiving 704 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Caroline Hwang United States 11 274 248 188 180 147 29 715
Kazuko Nishio Japan 16 231 0.8× 141 0.6× 143 0.8× 49 0.3× 99 0.7× 37 812
Tomáš Rohan Czechia 14 282 1.0× 56 0.2× 211 1.1× 113 0.6× 110 0.7× 45 687
Masoud Babaei Iran 13 391 1.4× 74 0.3× 269 1.4× 117 0.7× 73 0.5× 21 781
Inuk Zandvakili United States 11 164 0.6× 173 0.7× 75 0.4× 153 0.8× 131 0.9× 21 636
A. Skarstein Norway 16 237 0.9× 121 0.5× 359 1.9× 63 0.3× 165 1.1× 45 751
Joseph F. Fraumeni United States 9 194 0.7× 134 0.5× 220 1.2× 67 0.4× 78 0.5× 9 701
Hee Jung Son South Korea 13 256 0.9× 57 0.2× 134 0.7× 120 0.7× 209 1.4× 28 756
Mohammad Ali Mashhadi Iran 18 152 0.6× 74 0.3× 51 0.3× 88 0.5× 154 1.0× 67 840
Judith Hoffman–Bolton United States 13 351 1.3× 55 0.2× 55 0.3× 212 1.2× 180 1.2× 18 696
Geraldo Rodrigues de Lima Brazil 17 119 0.4× 148 0.6× 235 1.3× 159 0.9× 83 0.6× 95 1.1k

Countries citing papers authored by Caroline Hwang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Caroline Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Hwang. A scholar is included among the top collaborators of Caroline Hwang 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 Caroline Hwang. Caroline Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gany, Francesca, Yuelin Li, Jackie Finik, et al.. (2025). A Randomized Controlled Trial of the Integrated Cancer Care Access Network on Cancer Treatment Completion and Quality of Life. Journal of the National Comprehensive Cancer Network. 23(7). 1 indexed citations
3.
Deen, Welmoed K. van, Michelle Kwon, Samir A. Shah, et al.. (2021). The Reliability of Patient Self-reported Utilization in an Inflammatory Bowel Diseases Learning Health System. Crohn s & Colitis 360. 3(3). otab031–otab031. 1 indexed citations
4.
Blinder, Victoria, Carolyn Eberle, Christina Tran, et al.. (2020). Use of patient-reported controls for secular trends to study disparities in cancer-related job loss. Journal of Cancer Survivorship. 15(5). 685–695. 4 indexed citations
5.
Deen, Welmoed K. van, et al.. (2020). An assessment of symptom burden in inflammatory bowel diseases to develop a patient preference-weighted symptom score. Quality of Life Research. 29(12). 3387–3396. 19 indexed citations
6.
Shiva, Sunitha, Thilani Samarakoon, Hieu Vu, et al.. (2020). Leaf Lipid Alterations in Response to Heat Stress of Arabidopsis thaliana. Plants. 9(7). 845–845. 53 indexed citations
7.
Blinder, Victoria, Sujata Patil, Carolyn Eberle, et al.. (2020). Abstract PR03: Disparities in work status after treatment for breast cancer: A controlled, longitudinal study. Cancer Epidemiology Biomarkers & Prevention. 29(6_Supplement_1). PR03–PR03. 2 indexed citations
8.
Deen, Welmoed K. van, Michelle Kwon, Samir S. Shah, et al.. (2019). P014 VALIDATING PATIENT REPORTED UTILIZATION IN THE IBD QORUS LEARNING HEALTH SYSTEM. Inflammatory Bowel Diseases. 25(Supplement_1). S8–S8. 1 indexed citations
9.
Zhang, Bing, Brooke Nakamura, Peter Sohn, et al.. (2018). Identification of functional missense single-nucleotide polymorphisms in TNFAIP3 in a predominantly Hispanic population. Journal of Clinical and Translational Science. 2(6). 350–355. 5 indexed citations
10.
Tinsley, Andrew, Orna Ehrlich, Caroline Hwang, et al.. (2016). Knowledge, Attitudes, and Beliefs Regarding the Role of Nutrition in IBD Among Patients and Providers. Inflammatory Bowel Diseases. 22(10). 2474–2481. 61 indexed citations
12.
Hassid, Benjamin, Aimee L. Lucas, Marcela Salomao, et al.. (2014). Absence of Pancreatic Intraepithelial Neoplasia Predicts Poor Survival After Resection of Pancreatic Cancer. Pancreas. 43(7). 1073–1077. 18 indexed citations
13.
Hwang, Caroline, et al.. (2014). Popular Exclusionary Diets for Inflammatory Bowel Disease. Inflammatory Bowel Diseases. 20(4). 732–741. 42 indexed citations
14.
Bonthala, Nirupama, et al.. (2014). Impact of Immigration on Phenotype and Severity of Inflammatory Bowel Disease: A Prospective Cohort Study of Hispanics in the United States: ACG IBD Research Award. The American Journal of Gastroenterology. 109. S474–S474. 2 indexed citations
15.
Hwang, Caroline, et al.. (2012). Micronutrient deficiencies in inflammatory bowel disease: From A to zinc. Inflammatory Bowel Diseases. 18(10). 1961–1981. 176 indexed citations
17.
Kumar, Sheila, Sunil Amin, Caroline Hwang, et al.. (2012). Su1821 Interval Follow-up of High-Risk Pancreatic Cancer Screening Patients Demonstrates No Significant Lesions Within One Year. Gastroenterology. 142(5). S–512. 1 indexed citations
18.
Velayos, Fernando & Caroline Hwang. (2012). Website Review. Gastroenterology. 144(1). 248–249. 3 indexed citations
19.
Kumar, Sheila, Sunil Amin, Kristin Engelstad, et al.. (2011). High BRCA 1/2 Mutation Rate With Less Significant Breast Cancer Among Families With Pancreatic Cancer Predisposition: A New Indication for BRCA 1/2 Testing?. Gastroenterology. 140(5). S–260. 1 indexed citations
20.
Hwang, Caroline, Sheila Kumar, Tracy C. Yab, et al.. (2011). Noninvasive Detection of Intraductal Papillary Mucinous Neoplasms (IPMN) and Early Stage Cancer of the Pancreas With Stool DNA Testing. Gastroenterology. 140(5). S–678. 7 indexed citations

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.

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