Xiaojian Ni

650 total citations
34 papers, 475 citations indexed

About

Xiaojian Ni is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Xiaojian Ni has authored 34 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Oncology and 11 papers in Cancer Research. Recurrent topics in Xiaojian Ni's work include RNA modifications and cancer (5 papers), Peptidase Inhibition and Analysis (4 papers) and Ubiquitin and proteasome pathways (4 papers). Xiaojian Ni is often cited by papers focused on RNA modifications and cancer (5 papers), Peptidase Inhibition and Analysis (4 papers) and Ubiquitin and proteasome pathways (4 papers). Xiaojian Ni collaborates with scholars based in China, United States and Ethiopia. Xiaojian Ni's co-authors include Yingchun Zhao, Xiaoming Zha, Zhixian He, Shui Wang, Tiansong Xia, Xiaoan Liu, Bohao Zheng, Qiang Ding, Wenbin Zhou and Jingjing Ma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gene and Experimental Cell Research.

In The Last Decade

Xiaojian Ni

31 papers receiving 469 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaojian Ni China 13 263 201 185 60 54 34 475
Shuiping Gao China 13 263 1.0× 229 1.1× 194 1.0× 99 1.6× 38 0.7× 28 539
Maria Cardenas United States 6 266 1.0× 214 1.1× 198 1.1× 117 1.9× 46 0.9× 14 496
Luísa Matos do Canto Brazil 15 286 1.1× 214 1.1× 187 1.0× 61 1.0× 41 0.8× 34 521
Shanqi Xu China 10 218 0.8× 242 1.2× 189 1.0× 103 1.7× 34 0.6× 16 460
Anup Sharma United States 12 495 1.9× 237 1.2× 159 0.9× 72 1.2× 73 1.4× 23 668
Zhanhuai Wang China 12 231 0.9× 243 1.2× 170 0.9× 68 1.1× 100 1.9× 24 501
Dilu Feng China 14 370 1.4× 180 0.9× 219 1.2× 80 1.3× 99 1.8× 26 649
Dianke Chen China 13 299 1.1× 186 0.9× 257 1.4× 76 1.3× 45 0.8× 25 519
Satoe Fujiwara Japan 14 279 1.1× 227 1.1× 169 0.9× 72 1.2× 63 1.2× 38 677
Mengxi Huang China 15 428 1.6× 169 0.8× 195 1.1× 90 1.5× 45 0.8× 31 655

Countries citing papers authored by Xiaojian Ni

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojian Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojian Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojian Ni. A scholar is included among the top collaborators of Xiaojian Ni 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 Xiaojian Ni. Xiaojian Ni 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
1.
2.
Zhang, Juan, Xiaojian Ni, Youpei Lin, et al.. (2025). AGEs-RAGE manipulates tumor intrinsic pERK/Sp1/IL6 pathway and reprograms macrophage to promote intrahepatic cholangiocarcinoma progression. Translational Oncology. 60. 102446–102446.
3.
Gao, Sheng, Wensheng Zhang, Jingjing Ma, & Xiaojian Ni. (2023). PHF6 recruits BPTF to promote HIF-dependent pathway and progression in YAP-high breast cancer. Journal of Translational Medicine. 21(1). 220–220. 5 indexed citations
4.
Xu, Xin, Xiaojian Ni, Jiaomeng Pan, et al.. (2023). Gene-based cancer-testis antigens as prognostic indicators in hepatocellular carcinoma. Heliyon. 9(3). e13269–e13269. 3 indexed citations
5.
Fan, Kun, Xiaojian Ni, Sheng Shen, et al.. (2022). Acetylation stabilizes stathmin1 and promotes its activity contributing to gallbladder cancer metastasis. Cell Death Discovery. 8(1). 265–265. 4 indexed citations
6.
Fan, Kun, Jiwen Wang, Xiaojian Ni, et al.. (2022). Inhibition of 14-3-3ε by K50 acetylation activates YAP1 to promote cholangiocarcinoma growth. Experimental Cell Research. 421(2). 113404–113404. 1 indexed citations
7.
Zheng, Bohao, Cheng Zhang, Wentao Sun, et al.. (2022). The clinical and prognostic factors for biliary neuroendocrine neoplasm: a study based on the SEER database. BMC Surgery. 22(1). 253–253. 4 indexed citations
8.
Fan, Kun, Shulong Zhang, Xiaojian Ni, et al.. (2022). KRAS G12D mutation eliminates reactive oxygen species through the Nrf2/CSE/H <sub>2</sub>S axis and contributes to pancreatic cancer growth. Acta Biochimica et Biophysica Sinica. 54(11). 1731–1739. 6 indexed citations
9.
Zheng, Bohao, et al.. (2021). Samonella typhi infection-related appendicitis: A case report. World Journal of Clinical Cases. 9(29). 8782–8788. 4 indexed citations
10.
Wang, Jiwen, Xiaojian Ni, Sheng Shen, et al.. (2021). Phosphorylation at Ser10 triggered p27 degradation and promoted gallbladder carcinoma cell migration and invasion by regulating stathmin1 under glucose deficiency. Cellular Signalling. 80. 109923–109923. 4 indexed citations
11.
Ma, Jingjing, Zhixian He, Hongwei Zhang, et al.. (2021). SEC61G promotes breast cancer development and metastasis via modulating glycolysis and is transcriptionally regulated by E2F1. Cell Death and Disease. 12(6). 550–550. 30 indexed citations
12.
Zheng, Bohao, Zhixian He, Juan Zhang, et al.. (2021). The Biological Function of TUSC7/miR-1224-3p Axis in Triple-Negative Breast Cancer. Cancer Management and Research. Volume 13. 5763–5774. 12 indexed citations
13.
Fan, Kun, Dexiang Zhang, Min Li, et al.. (2020). Carboxyl-terminal polypeptide fragment of MUC16 combing stathmin1 promotes gallbladder cancer cell migration and invasion. Medical Oncology. 37(12). 114–114. 11 indexed citations
14.
Fan, Kun, Jiwen Wang, Wentao Sun, et al.. (2020). MUC16 C-terminal binding with ALDOC disrupts the ability of ALDOC to sense glucose and promotes gallbladder carcinoma growth. Experimental Cell Research. 394(1). 112118–112118. 27 indexed citations
15.
He, Zhixian, Yi Zhou, Feiran Wang, et al.. (2019). Clinical value of postoperative sentinel lymph node biopsy. Annals of Translational Medicine. 7(22). 683–683. 7 indexed citations
16.
He, Zhixian, et al.. (2018). Overexpression of NIMA-related kinase 6 (NEK6) contributes to malignant growth and dismal prognosis in Human Breast Cancer. Pathology - Research and Practice. 214(10). 1648–1654. 27 indexed citations
17.
Zhang, Long, Yi‐Zhou Jiang, Xiaojian Ni, et al.. (2016). The membrane complement regulatory protein CD59 promotes tumor growth and predicts poor prognosis in breast cancer. International Journal of Oncology. 48(5). 2015–2024. 29 indexed citations
18.
Zhao, Yingchun, et al.. (2013). Clinical significance of Smac and survivin expression in breast cancer patients treated with anthracycline-based neoadjuvant chemotherapy. Molecular Medicine Reports. 9(2). 614–620. 15 indexed citations
19.
Zhao, Yingchun, Xiaojian Ni, Ming‐Hai Wang, et al.. (2012). Tumor-derived VEGF-C, but not VEGF-D, promotes sentinel lymph node lymphangiogenesis prior to metastasis in breast cancer patients. Medical Oncology. 29(4). 2594–2600. 35 indexed citations
20.
Ni, Xiaojian, Tiansong Xia, Yingchun Zhao, et al.. (2012). Postmenopausal Hormone Therapy is Associated with in Situ Breast Cancer Risk. Asian Pacific Journal of Cancer Prevention. 13(8). 3917–3925. 8 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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