Tienan Bi

408 citations
22 papers · 314 indexed · h-index 11
Topics
Metastasis and carcinoma case studies (2 papers)Cancer, Lipids, and Metabolism (2 papers)Colorectal Cancer Screening and Detection (2 papers)
Partner nations
China

In The Last Decade

Tienan Bi

22 papers receiving 312 citations

Peers

Tienan Bi
Comparison fields: 5 of 71
  • Molecular Biology 157
  • Cancer Research 73
  • Oncology 69
  • Plant Science 44
  • Immunology 39
Replace Qunguang Jiang with:
Qunguang Jiang China
Hae Rim Jung South Korea
Kiyokazu Inagaki Japan
Toshiharu Kondo Japan
Remi Murase Japan
Juanfen Mo China
Liang-Mou Kuo Taiwan
Jianxin Ma China
Ximeng Lin China
Xiaolei Zhang China
Tienan Bi relative to Qunguang Jiang China Qunguang Jiang's profile →
Citations per field
00.5×2.7×
Qunguang Jiang · 1×
Citations per year

Countries citing papers authored by Tienan Bi

Since Specialization
Citations

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

Fields of papers citing papers by Tienan Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tienan Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Tienan Bi. A scholar is included among the top collaborators of Tienan Bi 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 Tienan Bi. Tienan Bi 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 9
3 5
4 9
5 2
6 7
7 7
8 5
9 6
10 19
11 1
12 11
13
COLORECTAL Polymeric Immunoglobulin Receptor Expression is Correlated with Hepatic Metastasis and Poor Prognosis in Colon Carcinoma Patients with Hepatic Metastasis.
13
14
APOBEC3G expression is correlated with poor prognosis in colon carcinoma patients with hepatic metastasis.
19
15
Antitumor effect of FP3 on a patient-derived tumor tissue xenograft model of rectal carcinoma.
4
16 10
17 13
18 57
19 34
20 24

About Tienan Bi

Tienan Bi is a scholar working on Gastroenterology, Biochemistry and Cancer Research, having authored 22 papers that have together received 314 indexed citations. Recurring topics across this work include Metastasis and carcinoma case studies (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Colorectal Cancer Screening and Detection (2 papers). The work is most often cited by research in Cancer Research (73 citations), Aquatic Science (21 citations) and Oncology (69 citations). Tienan Bi has collaborated with scholars based in China. Frequent co-authors include Ruili Zhang, Wei‐Hua Yan, Aifen Lin, Yunfeng Xu, Leilei Yang, Xia Zhang, Wenjun Zhou, Jiangang Zhang, Ruili Zhang and Ketao Jin. Their work appears in journals such as Molecules, International Journal of Biological Macromolecules and BioMed Research International.

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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