Taidong Qiao

1.5k citations
43 papers · 1.3k indexed · h-index 19
Topics
Monoclonal and Polyclonal Antibodies Research (9 papers)Drug Transport and Resistance Mechanisms (9 papers)Glycosylation and Glycoproteins Research (8 papers)

In The Last Decade

Taidong Qiao

43 papers receiving 1.3k citations

Peers

Taidong Qiao
Comparison fields: 5 of 83
  • Molecular Biology 1.0k
  • Cancer Research 473
  • Oncology 318
  • Surgery 108
  • Pathology and Forensic Medicine 84
Replace William Golembieski with:
William Golembieski United States
Julie Pannequin France
Catherine Gratas France
Jennifer A. Wilshire United States
Dana Napier United States
Arifumi Iwamaru Japan
Nathalie Cahuzac France
Jean Kloss United States
Nathaniel Weygant United States
Steven Seaman United States
Taidong Qiao relative to William Golembieski United States William Golembieski's profile →
Citations per field
00.5×3.5×
William Golembieski · 1×
Citations per year

Countries citing papers authored by Taidong Qiao

Since Specialization
Citations

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

Fields of papers citing papers by Taidong Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taidong Qiao. 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 Taidong Qiao. The network helps show where Taidong Qiao may publish in the future.

Co-authorship network of co-authors of Taidong Qiao

This figure shows the co-authorship network connecting the top 25 collaborators of Taidong Qiao. A scholar is included among the top collaborators of Taidong Qiao 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 Taidong Qiao. Taidong Qiao 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 15
2 30
3 10
4 36
5 6
6 14
7 84
8 6
9 31
10 48
11 1
12 20
13 16
14 48
15 53
16 57
17 31
18
[The overexpression of prion protein in drug resistant gastric cancer cell line SGC7901/ADR and its significance].
5
19 35
20 5

About Taidong Qiao

Taidong Qiao is a scholar working on Oncology, Biotechnology and Cancer Research, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Drug Transport and Resistance Mechanisms (9 papers) and Glycosylation and Glycoproteins Research (8 papers). The work is most often cited by research in Cancer Research (473 citations), Molecular Biology (1.0k citations) and Oncology (318 citations). Taidong Qiao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Daiming Fan, Yanglin Pan, Kaichun Wu, Yongquan Shi, Changcun Guo, Xuegang Guo, Jie Liu, Lina Zhao, Yongguo Zhang and Jun Tie. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal and Biochemical and Biophysical Research Communications.

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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