Shaojun Wang

963 total citations
32 papers, 632 citations indexed

About

Shaojun Wang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Shaojun Wang has authored 32 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Shaojun Wang's work include Bone Metabolism and Diseases (7 papers), Genomics and Phylogenetic Studies (5 papers) and Machine Learning in Bioinformatics (4 papers). Shaojun Wang is often cited by papers focused on Bone Metabolism and Diseases (7 papers), Genomics and Phylogenetic Studies (5 papers) and Machine Learning in Bioinformatics (4 papers). Shaojun Wang collaborates with scholars based in China, United States and Canada. Shaojun Wang's co-authors include Shanfeng Zhu, Yi Xiong, Ronghui You, Dale Schuurmans, Russell Greiner, Chi‐Hoon Lee, Feng Jiao, Nonghua Lv, Qi Ge and Xiaodong Zhou and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Shaojun Wang

28 papers receiving 616 citations

Peers

Shaojun Wang
Comparison fields: 5 of 98
  • Molecular Biology 417
  • Cancer Research 151
  • Artificial Intelligence 98
  • Oncology 43
  • Plant Science 43
Replace Benjamin M. Gyori with:
Benjamin M. Gyori United States
Lin Tian China
Tülin Erşahin Türkiye
Rani K. Powers United States
Feiran Wang China
Xinyi Deng China
Neelam Goel India
Trung Nghia Vu Sweden
Benjamin M. Gyori United States View profile →
Citations per field, relative to Shaojun Wang
Shaojun Wang · 1×
Citations per year, relative to Shaojun Wang
Shaojun Wang · 1×

Countries citing papers authored by Shaojun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shaojun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaojun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shaojun Wang. A scholar is included among the top collaborators of Shaojun Wang 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 Shaojun Wang. Shaojun Wang 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 1
2 0
3 0
4 0
5 47
6 1
7 5
8 2
9 20
10 9
11 63
12 7
13 39
14 29
15 33
16
Effects of Serum Containing Zuogui Pill Substances on the Expression of IL-1,IL-6 and COX-2 in Osteoblasts in vitro
1
17
Effect of the Method of Nourishing the Kidney-Yin on the Expression of the Bone Matrix Cell IL-1 and the Osteoblast IL-6 in the Ovariectomy-induced Osteoporosis Rats
1
18 9
19 3
20
Effect of the Prescription for Warming and Recuperating the Kidney-Yang on the Activity of IL-1 and IL-6 in the Ovariectomy-induced Osteoporosis Rats
1

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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