Wei Cang

19 papers receiving 506 citations

Wei Cang's Hit Papers

Lactate-Lactylation Hands between Metabolic Reprogramming and Immunosuppression 2022 · 241 citations
2410+1+2Years since publication50100150200

Peers

Wei Cang
Comparison fields: 5 of 73
  • Cancer Research 130
  • Immunology 71
  • Oncology 79
  • Molecular Biology 174
  • Reproductive Medicine 20
Replace Abul Usmani with:
Abul Usmani United States
Jinxiao Liang China
Katia Danza Italy
Werner Olipitz United States
Ying Deng China
Ziba Nariman‐Saleh‐Fam Iran
Tara L. Sander United States
D-A Silasi United States
Malee Warnnissorn Thailand
Limei Yin China
Wei Cang relative to Abul Usmani United States Abul Usmani's profile →
Citations per field
00.5×1.5×2.1×
Abul Usmani · 1×
Citations per year

Countries citing papers authored by Wei Cang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Cang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei Cang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei Cang Line = papers co-authored together Wei Cang links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Lactate-Lactylation Hands between Metabolic Reprogramming and Immunosuppression
Hit paper breakdown →
2022241
2 202161
3 202142
4 201937
5 202222
6 202319
7 202318
8 201918
9 201917
10 20226
11 20226
12 20186
13 20205
14 20234
15 20233
16 20232
17 20232
18 20231
19 20241

About Wei Cang

Wei Cang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Immunology and Reproductive Medicine, having authored 19 papers that have together received 511 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (3 papers), Gestational Trophoblastic Disease Studies (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), Epigenetics and DNA Methylation (2 papers), Cervical Cancer and HPV Research (2 papers), Immune cells in cancer (2 papers), Cancer Mechanisms and Therapy (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Cancer Research (130 citations), Immunology (71 citations), Oncology (79 citations), Molecular Biology (174 citations) and Reproductive Medicine (20 citations). Wei Cang has collaborated with scholars based in China and Thailand. Frequent co-authors include Yu Gu, Lihua Chen, Pengming Sun, Yang Xiang, Lihua Qiu, Liying Gu, Anyue Wu, Wen Di, Yang Xiang and Junjun Yang. Their work appears in journals such as Frontiers in Oncology, International Immunopharmacology, Acta Obstetricia Et Gynecologica Scandinavica, International Journal of Gynecological Cancer and Biomedicines.

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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