Yijiang Shi

2.8k total citations
35 papers, 2.2k citations indexed

About

Yijiang Shi is a scholar working on Molecular Biology, Hematology and Pathology and Forensic Medicine. According to data from OpenAlex, Yijiang Shi has authored 35 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 22 papers in Hematology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Yijiang Shi's work include Multiple Myeloma Research and Treatments (22 papers), PI3K/AKT/mTOR signaling in cancer (22 papers) and Cancer Mechanisms and Therapy (6 papers). Yijiang Shi is often cited by papers focused on Multiple Myeloma Research and Treatments (22 papers), PI3K/AKT/mTOR signaling in cancer (22 papers) and Cancer Mechanisms and Therapy (6 papers). Yijiang Shi collaborates with scholars based in United States, Mexico and Canada. Yijiang Shi's co-authors include Alan Lichtenstein, Joseph Gera, Patrick Frost, Jung-Hsin Hsu, Bao Hoang, Huajun Yan, Liping Hu, Angelica Benavides, Myrna Fisher and Chris Tran and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Cancer Research.

In The Last Decade

Yijiang Shi

35 papers receiving 2.2k citations

Peers

Yijiang Shi
Comparison fields: 5 of 89
  • Molecular Biology 1.8k
  • Hematology 654
  • Oncology 521
  • Pathology and Forensic Medicine 339
  • Cancer Research 251
Replace W. Michael Kuehl with:
W. Michael Kuehl United States
William Senapedis United States
Jorge A. Almenara United States
Mark A. Gregory United States
Helena Jernberg‐Wiklund Sweden
Keita Kirito Japan
Jianguo Tao United States
Mehran S. Neshat United States
Ichiro Hanamura Japan
Silvia Grisendi United States
W. Michael Kuehl United States View profile →
Citations per field, relative to Yijiang Shi
Yijiang Shi · 1×
Citations per year, relative to Yijiang Shi
Yijiang Shi · 1×

Countries citing papers authored by Yijiang Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yijiang Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yijiang Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yijiang Shi. A scholar is included among the top collaborators of Yijiang Shi 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 Yijiang Shi. Yijiang Shi 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 12
2 4
3 5
4 8
5 10
6 10
7 19
8 29
9 31
10 22
11 63
12 35
13 124
14 129
15 308
16 49
17 284
18 69
19 96
20
Enhanced sensitivity of multiple myeloma cells containing PTEN mutations to CCI-779.
198

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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