Fang‐Ku P’eng

2.5k citations
63 papers · 2.1k indexed · h-index 25
Topics
Hepatocellular Carcinoma Treatment and Prognosis (14 papers)Pancreatic and Hepatic Oncology Research (12 papers)Gastric Cancer Management and Outcomes (12 papers)
Partner nations
TaiwanChinaUnited States

In The Last Decade

Fang‐Ku P’eng

63 papers receiving 2.0k citations

Peers

Fang‐Ku P’eng
Comparison fields: 5 of 101
  • Surgery 1.0k
  • Pulmonary and Respiratory Medicine 596
  • Oncology 528
  • Hepatology 458
  • Epidemiology 442
Replace Daniela Cabibi with:
Daniela Cabibi Italy
S.H. Saverymuttu United Kingdom
B. Wiebecke Germany
Claudio Avellini Italy
Kang-Jey Ho United States
Michel Scotté France
Leon Schiff United States
T Ashcroft United Kingdom
Joo Hyun Sohn South Korea
William H. Marks United States
Fang‐Ku P’eng relative to Daniela Cabibi Italy Daniela Cabibi's profile →
Citations per field
00.5×1.5×2.4×
Daniela Cabibi · 1×
Citations per year

Countries citing papers authored by Fang‐Ku P’eng

Since Specialization
Citations

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

Fields of papers citing papers by Fang‐Ku P’eng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang‐Ku P’eng. 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 Fang‐Ku P’eng. The network helps show where Fang‐Ku P’eng may publish in the future.

Co-authorship network of co-authors of Fang‐Ku P’eng

This figure shows the co-authorship network connecting the top 25 collaborators of Fang‐Ku P’eng. A scholar is included among the top collaborators of Fang‐Ku P’eng 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 Fang‐Ku P’eng. Fang‐Ku P’eng 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 4
2 6
3 34
4 1
5 3
6 3
7 44
8 4
9 34
10 11
11 4
12 56
13 84
14 19
15 12
16 83
17 20
18 10
19 3
20
Carcinoid tumor of the pancreas causing the diarrheogenic syndrome: report of a case combined with multiple endocrine neoplasia, type I.
11

About Fang‐Ku P’eng

Fang‐Ku P’eng is a scholar working on Hepatology, Oncology and Surgery, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (14 papers), Pancreatic and Hepatic Oncology Research (12 papers) and Gastric Cancer Management and Outcomes (12 papers). The work is most often cited by research in Hepatology (458 citations), Microbiology (27 citations) and Surgery (1.0k citations). Fang‐Ku P’eng has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Wing‐Yiu Lui, Chen‐Hsen Lee, Chew-Wun Wu, Ming Liu, Cheng‐Hsi Su, Tse‐Jia Liu, Cheng-Chung Wu, Dah‐Cherng Yeh, Chin‐Wen Chi and Cheng‐Chung Wu. Their work appears in journals such as The Lancet, Gastroenterology and Molecular and Cellular Biology.

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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