Tingting Wang

6.4k total citations · 2 hit papers
146 papers, 4.9k citations indexed

About

Tingting Wang is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Tingting Wang has authored 146 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Immunology, 31 papers in Molecular Biology and 22 papers in Oncology. Recurrent topics in Tingting Wang's work include Immune cells in cancer (25 papers), Advanced battery technologies research (12 papers) and Electrocatalysts for Energy Conversion (12 papers). Tingting Wang is often cited by papers focused on Immune cells in cancer (25 papers), Advanced battery technologies research (12 papers) and Electrocatalysts for Energy Conversion (12 papers). Tingting Wang collaborates with scholars based in China, United States and Australia. Tingting Wang's co-authors include Yayi Hou, Youwei Du, Yuan Sun, Wei Zhong, Jian Cao, Liqian Wu, Liuwen Xia, Sunan Shen, Dongming Zhi and Yuanqi Wang and has published in prestigious journals such as Nature Communications, The EMBO Journal and Immunity.

In The Last Decade

Tingting Wang

138 papers receiving 4.8k citations

Hit Papers

Tumour-activated neutrophils in gastric cancer foster imm... 2017 2026 2020 2023 2017 2020 100 200 300

Peers

Tingting Wang
Comparison fields: 5 of 150
  • Immunology 1.5k
  • Molecular Biology 1.1k
  • Oncology 914
  • Materials Chemistry 593
  • Electronic, Optical and Magnetic Materials 505
Biao Liu China
Qiwei Wang China
Silvia Blacher Belgium
Yang Li China
Xianzhong Zhang China
Yongjun Liu China
Yoshio Sakai Japan
Pengcheng Zhang China
Akira Hirata Japan
Hiroshi Kojima Japan
Biao Liu China View profile →
Citations per field, relative to Tingting Wang
Tingting Wang · 1×
Citations per year, relative to Tingting Wang
Tingting Wang · 1×

Countries citing papers authored by Tingting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tingting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Wang. A scholar is included among the top collaborators of Tingting 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 Tingting Wang. Tingting 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 0
2 0
3 1
4 0
5 8
6 0
7 0
8 2
9 5
10 8
11 21
12 3
13 18
14 4
15 16
16 4
17 18
18 1
19 19
20 89

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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