Ta‐Cheng Wei

597 citations
11 papers · 486 · h-index 7

Impact in

  • Hepatology top 2%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • Hepatitis C virus research
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Cholangiocarcinoma and Gallbladder Cancer Studies 2
    • Hepatitis B Virus Studies 2
    • Liver Disease Diagnosis and Treatment 2

Ta‐Cheng Wei

11 papers receiving 461 citations

Peers

Ta‐Cheng Wei
Comparison fields: 5 of 53
  • Hepatology 252
  • Epidemiology 176
  • Cancer Research 75
  • Reproductive Medicine 22
  • Oncology 67
Replace Nafis Shafizadeh with:
Nafis Shafizadeh United States
Naoki Saotome Japan
Shosuke Iwama Japan
Shigeyuki Tsunetomi Japan
P. Kahl Germany
A Noetel Germany
Xiaohong Zhang China
T.C. Kok Netherlands
JE Jeng Taiwan
A Gavelli Monaco
Ta‐Cheng Wei relative to Nafis Shafizadeh United States Nafis Shafizadeh's profile →
Citations per field
00.5×1.5×
Nafis Shafizadeh · 1×
Citations per year

Countries citing papers authored by Ta‐Cheng Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ta‐Cheng Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ta‐Cheng Wei. 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 Ta‐Cheng Wei. The network helps show where Ta‐Cheng Wei may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Serum alpha-fetoprotein in the early stage of human hepatocellular carcinoma.
1984165
2 1984141
3 198676
4 199436
5 198824
6 198514
7 199511
8 19846
9 19856
10
Experiences in surgical management of cavernous hemangioma of the liver.
19964
11 19853

About Ta‐Cheng Wei

Ta‐Cheng Wei is a scholar working on Surgery, Epidemiology, Hepatology, Pulmonary and Respiratory Medicine and Nephrology, having authored 11 papers that have together received 486 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Hepatitis C virus research (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Parathyroid Disorders and Treatments (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Hepatitis Viruses Studies and Epidemiology (1 paper). The work is most often cited by research in Hepatology (252 citations), Epidemiology (176 citations), Cancer Research (75 citations), Reproductive Medicine (22 citations) and Oncology (67 citations). Ta‐Cheng Wei has collaborated with scholars based in Taiwan and Japan. Frequent co-authors include Juei‐Low Sung, Chue‐Shue Lee, Ding‐Shinn Chen, Ming‐Yang Lai, Hey‐Chi Hsu, Jin‐Chuan Sheu, Hey‐Chi Hsu, Yuk‐Ming Tsang, Mu‐Zon Wu and Shyr‐Chyr Chen. Their work appears in journals such as Surgery Today, Journal of Medical Virology, Journal of Laparoendoscopic Surgery, Gastroenterology 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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