Tingting Ren

1.3k total citations · 1 hit paper
41 papers, 957 citations indexed

About

Tingting Ren is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Tingting Ren has authored 41 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Tingting Ren's work include Sarcoma Diagnosis and Treatment (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and IgG4-Related and Inflammatory Diseases (4 papers). Tingting Ren is often cited by papers focused on Sarcoma Diagnosis and Treatment (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and IgG4-Related and Inflammatory Diseases (4 papers). Tingting Ren collaborates with scholars based in China, United States and Czechia. Tingting Ren's co-authors include Yi Huang, Lu Xie, Jie Xu, Wei Guo, Chenglong Chen, Mingliang Cheng, Li Zhu, Chao Huang, Juanjuan Zhu and Weidong Huang and has published in prestigious journals such as Scientific Reports, American Journal Of Pathology and British Journal of Cancer.

In The Last Decade

Tingting Ren

34 papers receiving 948 citations

Hit Papers

Immunotherapy for osteosarcoma: Fundamental mechanism, ra... 2020 2026 2022 2024 2020 100 200 300

Peers

Tingting Ren
Comparison fields: 5 of 110
  • Molecular Biology 453
  • Oncology 270
  • Pulmonary and Respiratory Medicine 231
  • Cancer Research 214
  • Immunology 147
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Hang Zheng China
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Hang Zheng China View profile →
Citations per field, relative to Tingting Ren
Tingting Ren · 1×
Citations per year, relative to Tingting Ren
Tingting Ren · 1×

Countries citing papers authored by Tingting Ren

Since Specialization
Citations

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

Fields of papers citing papers by Tingting Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Ren. A scholar is included among the top collaborators of Tingting Ren 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 Ren. Tingting Ren 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 0
4 1
5 2
6
[Blueberry attenuates liver injury in metabolic dysfunction-associated liver disease by promoting the expression of mitofilin/Mic60 in human hepatocytes and inhibiting the production of superoxide].
1
7 1
8 5
9 1
10 10
11 5
12 7
13 18
14 95
15 23
16 5
17 0
18 1
19 30
20 33

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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