Tie Fu Liu

1.6k total citations
28 papers, 1.3k citations indexed

About

Tie Fu Liu is a scholar working on Immunology, Molecular Biology and Geriatrics and Gerontology. According to data from OpenAlex, Tie Fu Liu has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 9 papers in Molecular Biology and 6 papers in Geriatrics and Gerontology. Recurrent topics in Tie Fu Liu's work include Toxin Mechanisms and Immunotoxins (10 papers), Sirtuins and Resveratrol in Medicine (6 papers) and Virus-based gene therapy research (5 papers). Tie Fu Liu is often cited by papers focused on Toxin Mechanisms and Immunotoxins (10 papers), Sirtuins and Resveratrol in Medicine (6 papers) and Virus-based gene therapy research (5 papers). Tie Fu Liu collaborates with scholars based in United States, China and Hong Kong. Tie Fu Liu's co-authors include Vidula Vachharajani, Charles E. McCall, Barbara K. Yoza, Brian M. Jones, Mohamed El Gazzar, Charles E. McCall, Mark C. Willingham, Arthur E. Frankel, Jingpu Zhang and Manish S. Bharadwaj and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Clinical Cancer Research.

In The Last Decade

Tie Fu Liu

28 papers receiving 1.3k citations

Peers

Tie Fu Liu
Comparison fields: 5 of 98
  • Immunology 520
  • Molecular Biology 449
  • Geriatrics and Gerontology 269
  • Epidemiology 228
  • Physiology 215
Replace Mara Gallí with:
Mara Gallí United States
Vanessa Byles United States
Chisaka Kuehnemann United States
Vincenzo Castronovo Belgium
Corinna Lau Norway
Jaskaren Kohli Netherlands
Ria Weston United Kingdom
Duen-Yi Huang Taiwan
Boshi Wang China
Douangsone D. Vadysirisack United States
Mara Gallí United States View profile →
Citations per field, relative to Tie Fu Liu
Tie Fu Liu · 1×
Citations per year, relative to Tie Fu Liu
Tie Fu Liu · 1×

Countries citing papers authored by Tie Fu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Tie Fu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tie Fu Liu. 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 Tie Fu Liu. The network helps show where Tie Fu Liu may publish in the future.

Co-authorship network of co-authors of Tie Fu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Tie Fu Liu. A scholar is included among the top collaborators of Tie Fu Liu 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 Tie Fu Liu. Tie Fu Liu 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
# Work Indexed citations
1 6
2 7
3 31
4 26
5 63
6 114
7 279
8 213
9 8
10 27
11 24
12 18
13 10
14 8
15
A diphtheria toxin-epidermal growth factor fusion protein is cytotoxic to human glioblastoma multiforme cells.
35
16 48
17 27
18 52
19 69
20 2

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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