Ming‐Fang Yen

3.8k citations
40 papers · 2.5k indexed · 1 hit paper · h-index 20
Topics
Colorectal Cancer Screening and Detection (11 papers)Global Cancer Incidence and Screening (10 papers)Cancer Risks and Factors (5 papers)

In The Last Decade

Ming‐Fang Yen

40 papers receiving 2.4k citations

Hit Papers

Mammography service screening and mortality in breast can...20032026201020182003100200300400500

Peers

Ming‐Fang Yen
Comparison fields: 5 of 140
  • Oncology 1.2k
  • Epidemiology 458
  • Pulmonary and Respiratory Medicine 375
  • Cancer Research 356
  • Pathology and Forensic Medicine 302
Replace Douglas G. Altman with:
Douglas G. Altman United Kingdom
Sherry Yueh‐Hsia Chiu Taiwan
Jean Ching‐Yuan Fann Taiwan
Karen Wells United States
Geraldine Rauch Germany
Enrico Papini Italy
Oreste Claudio Buonomo Italy
Edgar D. Staren United States
Carine Bellera France
Karen Ruth United States
Ming‐Fang Yen relative to Douglas G. Altman United Kingdom Douglas G. Altman's profile →
Citations per field
00.5×1.5×2.4×
Douglas G. Altman · 1×
Citations per year

Countries citing papers authored by Ming‐Fang Yen

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Fang Yen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Fang Yen. 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 Ming‐Fang Yen. The network helps show where Ming‐Fang Yen may publish in the future.

Co-authorship network of co-authors of Ming‐Fang Yen

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Fang Yen. A scholar is included among the top collaborators of Ming‐Fang Yen 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 Ming‐Fang Yen. Ming‐Fang Yen 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
#WorkIndexed citations
1 89
2 57
3 10
4 4
5 1
6 10
7 61
8 4
9 8
10 67
11 33
12 55
13 9
14 4
15 5
16 62
17 24
18 16
19 122
20 31

About Ming‐Fang Yen

Ming‐Fang Yen is a scholar working on Statistics and Probability, Oncology and Hepatology, having authored 40 papers that have together received 2.5k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (11 papers), Global Cancer Incidence and Screening (10 papers) and Cancer Risks and Factors (5 papers). The work is most often cited by research in Oncology (1.2k citations), Cancer Research (356 citations) and Pathology and Forensic Medicine (302 citations). Ming‐Fang Yen has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Chien‐Jen Chen, Bedrich Viták, Robert A. Smith, Stephen W. Duffy, Làszló Tabár, Stephen Duffy, Robert A Smith, Yueh‐Hsia Chiu, Sam Li‐Sheng Chen and Ulla Brith Krusemo. Their work appears in journals such as The Lancet, PLoS ONE 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.

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