Pi‐Feng Chang

962 citations
25 papers · 765 indexed · h-index 15

Impact in

Papers in

Pi‐Feng Chang

25 papers receiving 748 citations

Peers

Pi‐Feng Chang
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 203
  • Epidemiology 383
  • Pediatrics, Perinatology and Child Health 214
  • Gastroenterology 54
  • Hepatology 61
Replace D. G. Weir with:
D. G. Weir Ireland
Özlem Durmaz Türkiye
Dominic J. Nompleggi United States
Erim Gülcan Türkiye
Jihyun Yang South Korea
S. Friis Denmark
Melissa A. Cadnapaphornchai United States
Ankur Gupta India
Javier Blasco‐Alonso Spain
Barbara Lisowska‐Myjak Poland
Pi‐Feng Chang relative to D. G. Weir Ireland D. G. Weir's profile →
Citations per field
00.5×
D. G. Weir · 1×
Citations per year

Countries citing papers authored by Pi‐Feng Chang

Since Specialization
Citations

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

Fields of papers citing papers by Pi‐Feng Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pi‐Feng Chang. 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 Pi‐Feng Chang. The network helps show where Pi‐Feng Chang may publish in the future.

Co-authors

The 25 scholars most cited alongside Pi‐Feng Chang, 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 Pi‐Feng Chang Line = papers co-authored together Pi‐Feng Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20223
2 20216
3 20205
4 20191
5 201833
6 201670
7 201578
8 201489
9 201312
10 201242
11 201121
12 201031
13 201075
14 200922
15 20072
16 20039
17 200260
18 200268
19
Retroperitoneal cystic lymphangioma: report of one case.
19972
20 19959

About Pi‐Feng Chang

Pi‐Feng Chang is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Epidemiology and Hepatology, having authored 25 papers that have together received 765 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Neonatal Health and Biochemistry (7 papers), Diet, Metabolism, and Disease (6 papers), Methemoglobinemia and Tumor Lysis Syndrome (6 papers), Metabolism and Genetic Disorders (3 papers), Pancreatitis Pathology and Treatment (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (203 citations), Epidemiology (383 citations), Pediatrics, Perinatology and Child Health (214 citations), Gastroenterology (54 citations) and Hepatology (61 citations). Pi‐Feng Chang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Yen‐Hsuan Ni, Yu‐Cheng Lin, Mei‐Hwei Chang, Ching‐Shan Huang, May–Jen Huang, Fu‐Chang Hu, Shu-Jen Yeh, Wei‐Shiung Yang, Kun‐Long Hung and Kuo‐Inn Tsou Yau. Their work appears in journals such as The Journal of Pediatrics, American Journal of Clinical Nutrition, Pediatric Research, Liver International and Scientific Reports.

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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