Fred Dong

1.5k citations
9 papers · 1.3k · h-index 6

Impact in

  • Oncology top 5%
    • Colorectal Cancer Screening and Detection
    • Diabetes Treatment and Management
    • Diabetes Management and Research
    • Diabetes Management and Education
    • Diabetes, Cardiovascular Risks, and Lipoproteins

Papers in

Fred Dong

9 papers receiving 1.2k citations

Peers

Fred Dong
Comparison fields: 5 of 83
  • Oncology 587
  • Endocrinology, Diabetes and Metabolism 298
  • Economics and Econometrics 233
  • Gastroenterology 38
  • Anesthesiology and Pain Medicine 35
Replace Jason B. Liu with:
Jason B. Liu United States
Yeol Kim South Korea
Wenxi Tang China
Carlo Lucioni Italy
Maksim Zayaruzny United States
Rodrigo Arrangoiz United States
Ahmet Burak Ozbay United States
Joanne Homik Canada
Joan Vlayen Belgium
Christopher A. Zeruto United States
Fred Dong relative to Jason B. Liu United States Jason B. Liu's profile →
Citations per field
00.5×2×4×5.8×
Jason B. Liu · 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

9 of 9 papers shown
#Work
1 2004370
2 1997292
3 1997223
4 2004222
5 2016195
6 198012
7 19943
8 19802
9 20101

About Fred Dong

Fred Dong is a scholar working on Oncology, Gender Studies, Economics and Econometrics, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (4 papers), Labor market dynamics and wage inequality (2 papers), Gender, Labor, and Family Dynamics (2 papers), Employment, Labor, and Gender Studies (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Politics, Economics, and Education Policy (1 paper), Diabetes Treatment and Management (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Oncology (587 citations), Endocrinology, Diabetes and Metabolism (298 citations), Economics and Econometrics (233 citations), Gastroenterology (38 citations) and Anesthesiology and Pain Medicine (35 citations). Fred Dong has collaborated with scholars based in United States, Kenya and Netherlands. Frequent co-authors include Diane L. Manninen, Laura C. Seeff, Marion R. Nadel, Linda D. Winges, Jean A. Shapiro, Leslie S. Given, Matthew T. McKenna, Thomas B. Richards, Arthur S. Zbrozek and Jonathan C. Javitt. Their work appears in journals such as Diabetes Care, Gastroenterology, Gastrointestinal Endoscopy, The Journal of Human Resources and Contemporary Economic Policy.

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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