Xiaomeng Gong

542 total citations
30 papers, 437 citations indexed

About

Xiaomeng Gong is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Xiaomeng Gong has authored 30 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 12 papers in Molecular Biology and 11 papers in Cancer Research. Recurrent topics in Xiaomeng Gong's work include Cancer Cells and Metastasis (13 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Cancer and Skin Lesions (4 papers). Xiaomeng Gong is often cited by papers focused on Cancer Cells and Metastasis (13 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Cancer and Skin Lesions (4 papers). Xiaomeng Gong collaborates with scholars based in China, Australia and United States. Xiaomeng Gong's co-authors include Shiwu Wu, Wenqing Song, Danna Wang, Lei Zhou, Lan Yu, Bo Zhu, Qiong Wu, Cheng Ze-nong, Lei Zhou and Yuanyuan Liu and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Medicine and Journal of Cellular Biochemistry.

In The Last Decade

Xiaomeng Gong

29 papers receiving 432 citations

Peers

Xiaomeng Gong

ONCOL

PRM

PFM

Prasad Chaskar Switzerland

Viktor N. Goncharuk United States

Vera Schelfhout Belgium

Hyun‐Tae Shin South Korea

Jingtong Zhai China

Josephine J. Marshalleck United States

Neal Fischbach United States

Petra U. Prinz Germany

Jim Koh United States

Prasad Chaskar Switzerland

Xiaomeng Gong

372 ×1.4

387 ×1.8

ONCOL

187 ×1.3

63 ×0.8

PRM

39 ×0.7

PFM

Citations per year, relative to Xiaomeng Gong Xiaomeng Gong (= 1×) peers Prasad Chaskar

Countries citing papers authored by Xiaomeng Gong

Since Specialization

Citations

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

Fields of papers citing papers by Xiaomeng Gong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaomeng Gong

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

All Works

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20 of 20 papers shown

Chen, Yongjun, et al.. (2025). Impact of Irradiated Drosophila melanogaster Pupae on the Quality and Population Parameters of Trichopria drosophilae. Insects. 16(4). 379–379.

Zhao, Yan, Ting Huang, Xin Jin, Xiaomeng Gong, & Yuanzhi Lu. (2023). Clinicopathologic Features and Immune Cell Subtypes Analysis of Tumor-infiltrating Lymphocytes Rich Invasive Breast Carcinoma of No Special Type. Applied immunohistochemistry & molecular morphology. 31(6). 354–362. 3 indexed citations

Wu, Qiong, Jingping Wang, Yuanyuan Liu, & Xiaomeng Gong. (2019). Epithelial cell adhesion molecule and epithelial-mesenchymal transition are associated with vasculogenic mimicry, poor prognosis, and metastasis of triple negative breast cancer.. PubMed. 12(5). 1678–1689. 24 indexed citations

Zhao, Yan, et al.. (2019). Primary extramammary Paget's disease: a clinicopathological study of 28 cases.. PubMed. 12(9). 3426–3432. 16 indexed citations

Yu, Lan, Shiwu Wu, Lei Zhou, et al.. (2019). The correlation of the expressions of WWOX, LGR5 and vasohibin-1 in epithelial ovarian cancer and their clinical significance.. PubMed. 12(1). 327–336. 7 indexed citations

Li, Wěi, Gengyan Zhang, Xiaojun Li, et al.. (2018). Thyroid hormone receptor interactor 13 (TRIP13) overexpression associated with tumor progression and poor prognosis in lung adenocarcinoma. Biochemical and Biophysical Research Communications. 499(3). 416–424. 34 indexed citations

Zhu, Bo, Yichao Wang, Xiaolin Wang, et al.. (2018). Evaluation of the correlation of MACC1, CD44, Twist1, and KiSS-1 in the metastasis and prognosis for colon carcinoma. Diagnostic Pathology. 13(1). 45–45. 19 indexed citations

Jin, Xin, et al.. (2018). Metaplastic breast carcinoma: a clinical analysis of 26 cases.. PubMed. 11(4). 2112–2117. 5 indexed citations

Zhu, Bo, Danna Wang, Xiaomeng Gong, et al.. (2018). [Expression of AXIN and MACC1 in Gastric Carcinoma and Its Clinical Significance].. PubMed. 49(1). 59–64. 4 indexed citations

10.

Gong, Xiaomeng, et al.. (2018). Fibromatosis-like metaplastic carcinoma of breast: a challenge for clinicopathologic diagnosis.. PubMed. 11(7). 3691–3696. 8 indexed citations

11.

Yu, Lan, Bo Zhu, Shiwu Wu, et al.. (2017). Evaluation of the correlation of vasculogenic mimicry, ALDH1, KiSS-1, and MACC1 in the prediction of metastasis and prognosis in ovarian carcinoma. Diagnostic Pathology. 12(1). 23–23. 53 indexed citations

12.

Zhu, Bo, Lei Zhou, Lan Yu, et al.. (2017). Evaluation of the correlation of vasculogenic mimicry, ALDH1, KAI1 and microvessel density in the prediction of metastasis and prognosis in colorectal carcinoma. BMC Surgery. 17(1). 47–47. 34 indexed citations

13.

Zhou, Lei, Lan Yu, Bo Zhu, et al.. (2017). Vasculogenic mimicry and expression of Twist1 and KAI1 correlate with metastasis and prognosis in lung squamous cell carcinoma.. PubMed. 10(7). 7542–7550. 7 indexed citations

14.

Zhou, Lei, Lan Yu, Bo Zhu, et al.. (2016). Metastasis-associated in colon cancer-1 and aldehyde dehydrogenase 1 are metastatic and prognostic biomarker for non-small cell lung cancer. BMC Cancer. 16(1). 876–876. 34 indexed citations

15.

Zhou, Lei, Xiaohua Zhang, Bo Zhu, et al.. (2016). The expression of metastasis-associated in colon cancer-1 and KAI1 in gastric adenocarcinoma and their clinical significance. World Journal of Surgical Oncology. 14(1). 276–276. 19 indexed citations

16.

Gong, Xiaomeng, Yisheng Tao, Yu Lan, et al.. (2015). [Expressions of Snail, Slug and KAI1 proteins in cervical carcinoma and their clinicopathological significance].. PubMed. 35(12). 1733–8. 4 indexed citations

17.

Chen, Zhendong, et al.. (2015). Clinicopathological significance of CD133 and CD44 expression in infiltrating ductal carcinoma and their relationship to angiogenesis. World Journal of Surgical Oncology. 13(1). 56–56. 31 indexed citations

18.

Zhou, Lei, Lan Yu, Xiaomeng Gong, et al.. (2015). Aberrant Expression of Markers of Cancer Stem Cells in Gastric Adenocarcinoma and their Relationship to Vasculogenic Mimicry. Asian Pacific Journal of Cancer Prevention. 16(10). 4177–4183. 13 indexed citations

19.

Zhou, Lei, et al.. (2015). Clinicopathological significance of KAI1 expression and epithelial-mesenchymal transition in non-small cell lung cancer. World Journal of Surgical Oncology. 13(1). 234–234. 26 indexed citations

20.

Yu, Lan, Lei Zhou, Shiwu Wu, et al.. (2014). Clinicopathological significance of cancer stem cells marked by CD133 and KAI1/CD82 expression in laryngeal squamous cell carcinoma. World Journal of Surgical Oncology. 12(1). 118–118. 23 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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