Wenjia Su

1.1k total citations
11 papers, 358 citations indexed

About

Wenjia Su is a scholar working on Pathology and Forensic Medicine, Cancer Research and Molecular Biology. According to data from OpenAlex, Wenjia Su has authored 11 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 6 papers in Cancer Research and 4 papers in Molecular Biology. Recurrent topics in Wenjia Su's work include Lymphoma Diagnosis and Treatment (6 papers), RNA modifications and cancer (2 papers) and Cancer-related molecular mechanisms research (2 papers). Wenjia Su is often cited by papers focused on Lymphoma Diagnosis and Treatment (6 papers), RNA modifications and cancer (2 papers) and Cancer-related molecular mechanisms research (2 papers). Wenjia Su collaborates with scholars based in China, United States and Saudi Arabia. Wenjia Su's co-authors include Yuwei Wu, Yicong Liu, Zhaoyang Zeng, Chunmei Fan, Yong Li, Wei Xiong, Yumin Wang, Ruoyu Zhou, Wenxi Wang and Guiyuan Li and has published in prestigious journals such as Cancer Research, Cancer Letters and Experimental Biology and Medicine.

In The Last Decade

Wenjia Su

10 papers receiving 355 citations

Peers

Wenjia Su

MB

CR

ONCOL

PFM

IMMUN

Xuhua Xiao China

Yue‐Ju Li Taiwan

Shuang Chen China

Siqi Wu China

Zhongmao Fu China

Wenji Yan China

Dapeng Lei China

Huning Jiang China

Zehui Hou China

Xuhua Xiao China

Wenjia Su

461 ×1.5

MB

392 ×1.4

CR

24 ×0.8

ONCOL

26 ×0.9

PFM

37 ×1.4

IMMUN

Citations per year, relative to Wenjia Su Wenjia Su (= 1×) peers Xuhua Xiao

Countries citing papers authored by Wenjia Su

Since Specialization

Citations

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

Fields of papers citing papers by Wenjia Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenjia Su

This figure shows the co-authorship network connecting the top 25 collaborators of Wenjia Su. A scholar is included among the top collaborators of Wenjia Su 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 Wenjia Su. Wenjia Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Yang, Ming, Xingjian Niu, Xudong Yang, et al.. (2023). Identification and validation of hub genes in CD5-positive diffuse large B-cell lymphoma. Experimental Biology and Medicine. 248(17). 1469–1478. 1 indexed citations

2.

Zhao, Yanfang, Wenjia Su, Xiaoyu Shan, et al.. (2021). High dose and hepatobiliary dysfunction are associated with hand-foot syndrome in patients with lymphoma using pegylated liposomal doxorubicin: a retrospective study. BMC Pharmacology and Toxicology. 22(1). 63–63. 6 indexed citations

3.

Wang, Xiaowei, Wenjia Su, Dabei Tang, et al.. (2021). An Immune-Related Gene Prognostic Index for Triple-Negative Breast Cancer Integrates Multiple Aspects of Tumor-Immune Microenvironment. Cancers. 13(21). 5342–5342. 11 indexed citations

4.

Deng, Yuwei, Wenjia Su, Hongfei Ji, et al.. (2021). Helicobacter pylori infection disturbs the tumor immune microenvironment and is associated with a discrepant prognosis in gastric de novo diffuse large B-cell lymphoma. Journal for ImmunoTherapy of Cancer. 9(10). e002947–e002947. 11 indexed citations

5.

Isozaki, Hideko, Ammal Abbasi, Adam Langenbucher, et al.. (2021). Abstract 39: APOBEC3A drives acquired resistance to targeted therapies in non small cell lung cancer. Cancer Research. 81(13_Supplement). 39–39.

6.

Tang, Dabei, Wenjia Su, Xiaowei Wang, et al.. (2020). Clinicopathologic significance of MYD88 L265P mutation and expression of TLR4 and P-STAT3 in primary central nervous system diffuse large B-cell lymphomas. Brain Tumor Pathology. 38(1). 50–58. 4 indexed citations

7.

Su, Wenjia, Xingjian Niu, Hongfei Ji, et al.. (2020). A novel classification based on B-cell receptor signal gene expression correlates with prognosis in primary breast diffuse large B-cell lymphoma. Journal of Cancer. 11(9). 2431–2441. 4 indexed citations

8.

Wang, Wenxi, Ruoyu Zhou, Yuwei Wu, et al.. (2019). PVT1 Promotes Cancer Progression via MicroRNAs. Frontiers in Oncology. 9. 609–609. 95 indexed citations

9.

Sun, Mengqi, Wenjia Su, Hongxue Meng, et al.. (2019). The prognostic value of toll-like receptor5 and programmed cell death-ligand1 in patients with peripheral T-cell non-Hodgkin lymphoma. Leukemia & lymphoma. 60(11). 2646–2657. 5 indexed citations

10.

Niu, Xingjian, Hongfei Ji, Yiran Wang, et al.. (2018). Systemic immune response associated with radiation therapy in B‑cell non‑Hodgkin's lymphoma of Waldeyer's ring. Oncology Reports. 40(6). 3674–3684. 3 indexed citations

11.

Zhou, Ruoyu, Yuwei Wu, Wenxi Wang, et al.. (2018). Circular RNAs (circRNAs) in cancer. Cancer Letters. 425. 134–142. 218 indexed citations

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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