Kun Ru

1.1k total citations
52 papers, 483 citations indexed

About

Kun Ru is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Kun Ru has authored 52 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Hematology and 14 papers in Genetics. Recurrent topics in Kun Ru's work include Lymphoma Diagnosis and Treatment (12 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Acute Myeloid Leukemia Research (7 papers). Kun Ru is often cited by papers focused on Lymphoma Diagnosis and Treatment (12 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Acute Myeloid Leukemia Research (7 papers). Kun Ru collaborates with scholars based in China, United States and United Kingdom. Kun Ru's co-authors include Jianxiang Wang, Tao Cheng, Yan Xu, Gang An, Dehui Zou, Lugui Qiu, Yani Lin, Lihui Shi, Yu-Ting Huang and Huijun Wang and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Kun Ru

46 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Ru China 13 206 184 144 127 72 52 483
Dong Wu China 14 304 1.5× 227 1.2× 129 0.9× 89 0.7× 29 0.4× 39 545
Jo-Anne Vergilio United States 7 198 1.0× 147 0.8× 166 1.2× 64 0.5× 48 0.7× 8 457
Shihui Ma China 15 292 1.4× 215 1.2× 99 0.7× 92 0.7× 51 0.7× 33 629
Mike Keeney Canada 8 205 1.0× 153 0.8× 164 1.1× 153 1.2× 36 0.5× 13 516
Zhijie Wu United States 14 226 1.1× 225 1.2× 191 1.3× 97 0.8× 35 0.5× 67 708
Caterina Matteucci Italy 15 306 1.5× 219 1.2× 117 0.8× 65 0.5× 114 1.6× 49 604
Matteo Da Vià Italy 13 388 1.9× 281 1.5× 271 1.9× 269 2.1× 127 1.8× 34 738
Maria de Lourdes Chauffaille Brazil 13 237 1.2× 156 0.8× 246 1.7× 80 0.6× 119 1.7× 65 578
Naoki Kurita Japan 12 110 0.5× 93 0.5× 74 0.5× 91 0.7× 121 1.7× 60 471
Takuya Komeno Japan 13 278 1.3× 144 0.8× 166 1.2× 114 0.9× 118 1.6× 49 595

Countries citing papers authored by Kun Ru

Since Specialization
Citations

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

Fields of papers citing papers by Kun Ru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Ru

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Ru. A scholar is included among the top collaborators of Kun Ru 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 Kun Ru. Kun Ru 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.
Li, Yunze, et al.. (2025). Hyperspectral imaging combined with residual-attention-net for spectral-spatial feature fusion in liver disease diagnosis. Photodiagnosis and Photodynamic Therapy. 53. 104645–104645.
2.
3.
Ru, Kun, et al.. (2024). Identification of the Novel HLA‐DPA1*02:146 Allele by PacBio Sequencing. HLA. 104(5). e15762–e15762. 1 indexed citations
4.
Wang, Changli, et al.. (2024). A novel arginine methylation-associated lncRNA signature effectively predicts prognosis in breast cancer patients. Frontiers in Oncology. 14. 1472434–1472434. 1 indexed citations
5.
Wang, Lingling, Zhe Wang, Hong Zhang, et al.. (2023). An NGS based MRD evaluation from acute myeloid leukemia patients. International Journal of Laboratory Hematology. 45(3). 353–359. 1 indexed citations
6.
Bi, Lei, Miaoqing Zhao, Kun Ru, Bo Tang, & Yunshan Wang. (2023). Effect of UBR7 deficiency on glycolysis and PDAC resistance to gemcitabine by promoting PRMT5 stability.. Journal of Clinical Oncology. 41(16_suppl). e16265–e16265. 1 indexed citations
7.
Li, Dongmei, et al.. (2023). Diagnostic value of inflammatory indicators for surgical site infection in patients with breast cancer. Frontiers in Cellular and Infection Microbiology. 13. 1286313–1286313. 2 indexed citations
8.
Li, Jing, et al.. (2023). Identification of novel mutations in patients with Diamond‐Blackfan anemia and literature review of RPS10 and RPS26 mutations. International Journal of Laboratory Hematology. 45(5). 766–773. 5 indexed citations
9.
Zhang, Zelin, Yani Lin, Enbin Liu, et al.. (2022). The Diagnosis of Chronic Myeloid Leukemia with Deep Adversarial Learning. American Journal Of Pathology. 192(7). 1083–1091. 13 indexed citations
10.
Qin, Li, et al.. (2020). Identification of new mutations in patients with hereditary spherocytosis by next-generation sequencing. Journal of Human Genetics. 65(4). 427–434. 32 indexed citations
11.
Wang, Xiaojing, Gang An, Jiying Wang, et al.. (2018). The association of HLA-C alleles with multiple myeloma in Chinese patients. Experimental Hematology and Oncology. 7(1). 19–19. 5 indexed citations
12.
Yi, Shuhua, Zengjun Li, Dehui Zou, et al.. (2016). Intratumoral genetic heterogeneity and number of cytogenetic aberrations provide additional prognostic significance in chronic lymphocytic leukemia. Genetics in Medicine. 19(2). 182–191. 13 indexed citations
13.
Yao, Yin, Qingxiang Zeng, Guannan Tang, et al.. (2015). Connexin 43 Upregulation in Mouse Lungs during Ovalbumin-Induced Asthma. PLoS ONE. 10(12). e0144106–e0144106. 16 indexed citations
14.
Liu, Enbin, Qi Sun, Jiao Ma, et al.. (2015). The Prevalence ofJAK2,MPL, andCALRMutations in Chinese Patients WithBCR-ABL1–Negative Myeloproliferative Neoplasms. American Journal of Clinical Pathology. 144(1). 165–171. 38 indexed citations
15.
Hu, Linping, Kun Ru, Li Zhang, et al.. (2014). Fluorescence in situ hybridization (FISH): an increasingly demanded tool for biomarker research and personalized medicine. Biomarker Research. 2(1). 3–3. 65 indexed citations
16.
Liu, Bingcheng, Yaozhong Zhao, Ying Wang, et al.. (2014). EUTOS score predicts survival and cytogenetic response in patients with chronic phase chronic myeloid leukemia treated with first-line imatinib. Leukemia Research. 38(9). 1030–1035. 16 indexed citations
17.
An, Gang, Chirag Acharya, Shuhui Deng, et al.. (2014). Cytogenetic and clinical marks for defining high-risk myeloma in the context of bortezomib treatment. Experimental Hematology. 43(3). 168–176.e2. 9 indexed citations
18.
19.
An, Gang, Huijun Wang, Xiaoqi Qin, et al.. (2014). Polyclonal serum IgM level identifies a subgroup of multiple myeloma patients with low-risk clinicobiological features and superior survival. Leukemia Research. 38(6). 666–672. 1 indexed citations
20.
Ru, Kun, et al.. (1997). The gene expression of pME in mouse NIH/3T3 cells and construction of the h-apoE transgenic mice. 13(1). 24–28. 1 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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