Kun-He Zhang

1.0k total citations
37 papers, 723 citations indexed

About

Kun-He Zhang is a scholar working on Molecular Biology, Oncology and Hepatology. According to data from OpenAlex, Kun-He Zhang has authored 37 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Oncology and 10 papers in Hepatology. Recurrent topics in Kun-He Zhang's work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Liver Disease Diagnosis and Treatment (5 papers). Kun-He Zhang is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Liver Disease Diagnosis and Treatment (5 papers). Kun-He Zhang collaborates with scholars based in China, United States and Norway. Kun-He Zhang's co-authors include Ting Wang, Chaozhu He, Nonghua Lv, Xiaohua Liu, Qing Li, Jianming Zhou, Ting Wang, Song Jiang, Ting Wang and Yong Xie and has published in prestigious journals such as Analytical Biochemistry, Nanotechnology and Medicine.

In The Last Decade

Kun-He Zhang

36 papers receiving 717 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kun-He Zhang China	13	358	259	145	139	137	37	723
Meng‐Xin Tian China	20	343 1.0×	254 1.0×	327 2.3×	224 1.6×	178 1.3×	35	913
Ningyi Ma China	13	268 0.7×	138 0.5×	185 1.3×	77 0.6×	160 1.2×	29	574
Haosheng Jin China	16	420 1.2×	342 1.3×	294 2.0×	214 1.5×	200 1.5×	52	913
Sirui Fu China	14	191 0.5×	158 0.6×	95 0.7×	78 0.6×	77 0.6×	29	530
Jibin Liu China	13	438 1.2×	295 1.1×	158 1.1×	52 0.4×	164 1.2×	54	753
Erwan Pencreach France	17	323 0.9×	248 1.0×	350 2.4×	72 0.5×	200 1.5×	35	797
Yuqi Wang China	10	222 0.6×	194 0.7×	389 2.7×	84 0.6×	265 1.9×	30	746
Xi‐Fei Jiang China	15	154 0.4×	126 0.5×	195 1.3×	164 1.2×	146 1.1×	24	534
Maarten W. Nijkamp Netherlands	17	346 1.0×	248 1.0×	419 2.9×	291 2.1×	126 0.9×	51	1.1k
Yuchong Peng China	14	398 1.1×	192 0.7×	218 1.5×	91 0.7×	122 0.9×	38	730

Countries citing papers authored by Kun-He Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Kun-He Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun-He Zhang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liu, Maosheng, et al.. (2025). Research Trends on Nanomaterials and Hepatocellular Carcinoma From 1999 to 2024: A Bibliometric Analysis. Drug Design Development and Therapy. Volume 19. 3949–3970.

Liu, Maosheng, et al.. (2024). Evolution and Trends of Aptamers in Cancer Research: A Bibliometric Analysis of the Literature over the Last Decade. Current Medicinal Chemistry. 32(20). 4111–4131. 2 indexed citations

Liu, Maosheng, et al.. (2023). Bibliometric analysis of aptamer-conjugated nanoparticles for diagnosis in the last two decades. Nanotechnology. 35(5). 55102–55102. 1 indexed citations

Chen, Guilin, et al.. (2023). Combination of multiple nucleic acid aptamers for precision detection of tumors based on optical methods. Journal of Cancer Research and Clinical Oncology. 149(10). 7895–7903. 2 indexed citations

Zhu, Huijun, et al.. (2023). Differential diagnosis of hepatocellular carcinoma and intrahepatic cholangiocarcinoma based on spatial and channel attention mechanisms. Journal of Cancer Research and Clinical Oncology. 149(12). 10161–10168. 7 indexed citations

Chen, Zhiyong, Hua Dai, Ronghua Liu, et al.. (2022). A novel four-gene signature for predicting the prognosis of hepatocellular carcinoma. Scandinavian Journal of Gastroenterology. 57(10). 1227–1237. 6 indexed citations

Wang, Ting, et al.. (2022). New indexes derived from routine blood tests and their clinical application in hepatocellular carcinoma. Clinics and Research in Hepatology and Gastroenterology. 46(10). 102043–102043. 2 indexed citations

Wang, Ting, et al.. (2020). Blood-derived molecular signatures as biomarker panels for the early detection of colorectal cancer. Molecular Biology Reports. 47(10). 8159–8168. 10 indexed citations

Hu, Jia, Ting Wang, Kun-He Zhang, et al.. (2019). Pretreatment risk management of a novel nomogram model for prediction of thoracoabdominal extrahepatic metastasis in primary hepatic carcinoma. Journal of Translational Medicine. 17(1). 117–117. 8 indexed citations

10.

Wang, Ting, et al.. (2018). MicroRNAs as potential biomarkers for diagnosis, therapy and prognosis of gastric cancer. OncoTargets and Therapy. Volume 11. 3891–3900. 55 indexed citations

11.

Zhang, Kun-He, et al.. (2016). Noninvasive detection of gastric cancer. Tumor Biology. 37(9). 11633–11643. 11 indexed citations

12.

Jiang, Shanshan, Nianshuang Li, Rong Ke, et al.. (2015). Clinical significance and role of LKB1 in gastric cancer. Molecular Medicine Reports. 13(1). 249–256. 12 indexed citations

13.

Qin, Miao, Lanqing Ma, Juan Tan, et al.. (2014). Risk factors for colorectal neoplasms based on colonoscopy and pathological diagnoses of Chinese citizens: a multicenter, case-control study. International Journal of Colorectal Disease. 30(3). 353–361. 7 indexed citations

14.

Zhu, Yin, Ming Cheng, Zhen Yang, et al.. (2014). Mesenchymal stem cell-based NK4 gene therapy in nude mice bearing gastric cancer xenografts. Drug Design Development and Therapy. 8. 2449–2449. 32 indexed citations

15.

Xie, Chuan, et al.. (2014). Seasonal changes in gastric mucosal factors associated with peptic ulcer bleeding. Experimental and Therapeutic Medicine. 9(1). 125–130. 19 indexed citations

16.

Zhang, Kun-He, et al.. (2014). The modulation of coagulation by aptamers. Blood Coagulation & Fibrinolysis. 26(1). 1–6. 7 indexed citations

17.

Zhang, Kun-He, et al.. (2013). Anti-tumor effects of Agrimonia Pilosa Ledeb .on SMMC-7721 hepatocellular carcinoma cells and its mechanisms. 2 indexed citations

18.

He, Chaozhu, et al.. (2013). Combined use of AFP, CEA, CA125 and CAl9-9 improves the sensitivity for the diagnosis of gastric cancer. BMC Gastroenterology. 13(1). 87–87. 152 indexed citations

19.

He, Chaozhu & Kun-He Zhang. (2013). Serum Protein and Genetic Tumor Markers of Gastric Carcinoma. Asian Pacific Journal of Cancer Prevention. 14(6). 3437–3442. 14 indexed citations

20.

He, Chaozhu, et al.. (2013). Single-primer-limited amplification: A method to generate random single-stranded DNA sub-library for aptamer selection. Analytical Biochemistry. 440(1). 63–70. 12 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.

Explore authors with similar magnitude of impact