Fred Dong

1.6k citations
11 papers · 1.3k · h-index 6

Impact in

Papers in

Fred Dong

11 papers receiving 1.2k citations

Peers

Fred Dong
Comparison fields: 5 of 93
  • Oncology 551
  • Endocrinology, Diabetes and Metabolism 229
  • Pulmonary and Respiratory Medicine 172
  • Gastroenterology 26
  • Anesthesiology and Pain Medicine 25
Replace William C. Nugent with:
William C. Nugent United States
A. Gabriela Rosales United States
Angela C. Tramontano United States
Hubert A. Prins Netherlands
Hooyeon Lee South Korea
Matvey B. Palchuk United States
Maureen O’Keeffe‐Rosetti United States
Stanley Williams United States
Pablo Moreno Spain
Naomi Brewer New Zealand
Fred Dong relative to William C. Nugent United States William C. Nugent's profile →
Citations per field
00.5×5.2×
William C. Nugent · 1×
Citations per year

Countries citing papers authored by Fred Dong

Since Specialization
Citations

This map shows the geographic impact of Fred Dong'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 Fred Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Dong more than expected).

Fields of papers citing papers by Fred Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred Dong. 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 Fred Dong. The network helps show where Fred Dong may publish in the future.

Co-authors

The 25 scholars most cited alongside Fred Dong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fred Dong Line = papers co-authored together Fred Dong links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2004352
2 1997294
3 1997222
4 2004207
5 2016175
6 198013
7 19943
8 19802
9 20002
10 20231
11 20101

About Fred Dong

Fred Dong is a scholar working on Oncology, Gender Studies, Nephrology, Sociology and Political Science and Artificial Intelligence, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (4 papers), Gender, Labor, and Family Dynamics (2 papers), Renal Diseases and Glomerulopathies (1 paper), Taxation and Compliance Studies (1 paper), Renal Transplantation Outcomes and Treatments (1 paper), Poverty, Education, and Child Welfare (1 paper), Internet Traffic Analysis and Secure E-voting (1 paper) and Telecommunications and Broadcasting Technologies (1 paper). The work is most often cited by research in Oncology (551 citations), Endocrinology, Diabetes and Metabolism (229 citations), Pulmonary and Respiratory Medicine (172 citations), Gastroenterology (26 citations) and Anesthesiology and Pain Medicine (25 citations). Fred Dong has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Diane L. Manninen, Marion R. Nadel, Laura C. Seeff, Linda D. Winges, Richard C. Eastman, Erik J. Dasbach, Jonathan C. Javitt, Maureen I Harris, Catherine Copley‐Merriman and William H. Herman. Their work appears in journals such as Gastroenterology, Diabetes Care, Gastrointestinal Endoscopy, Industrial Relations A Journal of Economy and Society and The Journal of Human Resources.

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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