He-Li Gao

701 total citations
10 papers, 526 citations indexed

About

He-Li Gao is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, He-Li Gao has authored 10 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in He-Li Gao's work include Pancreatic and Hepatic Oncology Research (10 papers), Neuroendocrine Tumor Research Advances (3 papers) and Cancer Genomics and Diagnostics (2 papers). He-Li Gao is often cited by papers focused on Pancreatic and Hepatic Oncology Research (10 papers), Neuroendocrine Tumor Research Advances (3 papers) and Cancer Genomics and Diagnostics (2 papers). He-Li Gao collaborates with scholars based in China. He-Li Gao's co-authors include Hua-Xiang Xu, Xianjun Yu, Chun-Tao Wu, Wen-Quan Wang, Liang Liu, Quan-Xing Ni, Shi-Rong Zhang, Jin-Zhi Xu, Zi-Hao Qi and Wei Jin and has published in prestigious journals such as World Journal of Gastroenterology, Current Medicinal Chemistry and Annals of Surgical Oncology.

In The Last Decade

He-Li Gao

10 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
He-Li Gao China	9	312	207	171	97	71	10	526
Andrea Pretta Italy	12	272 0.9×	182 0.9×	139 0.8×	102 1.1×	59 0.8×	47	478
Ayush Arya United States	4	329 1.1×	294 1.4×	130 0.8×	110 1.1×	154 2.2×	4	591
Meghan B. Davis United States	6	340 1.1×	158 0.8×	164 1.0×	86 0.9×	83 1.2×	8	475
Pina Ziranu Italy	12	251 0.8×	200 1.0×	143 0.8×	116 1.2×	67 0.9×	39	482
Haoyue Hu China	11	163 0.5×	251 1.2×	140 0.8×	96 1.0×	101 1.4×	31	524
Nikol Snoeren Netherlands	12	232 0.7×	203 1.0×	169 1.0×	88 0.9×	25 0.4×	16	522
Mariusz Gryko Poland	16	419 1.3×	209 1.0×	261 1.5×	114 1.2×	123 1.7×	47	714
Chuanming Zheng China	16	194 0.6×	245 1.2×	194 1.1×	108 1.1×	61 0.9×	56	639
Haixing Ju China	10	166 0.5×	292 1.4×	187 1.1×	70 0.7×	74 1.0×	26	527
Benjamin L. Emmink Netherlands	10	228 0.7×	286 1.4×	183 1.1×	53 0.5×	30 0.4×	14	519

Countries citing papers authored by He-Li Gao

Since Specialization

Citations

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

Fields of papers citing papers by He-Li Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He-Li Gao

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

All Works

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10 of 10 papers shown

Li, Shuo, Hua-Xiang Xu, Hao Li, et al.. (2020). Haemoglobin, albumin, lymphocyte and platelet predicts postoperative survival in pancreatic cancer. World Journal of Gastroenterology. 26(8). 828–838. 117 indexed citations

Xu, Jin-Zhi, Wen-Quan Wang, Hua-Xiang Xu, et al.. (2019). The Loss of SMAD4/DPC4 Expression Associated with a Strongly Activated Hedgehog Signaling Pathway Predicts Poor Prognosis in Resected Pancreatic Cancer. Journal of Cancer. 10(17). 4123–4131. 15 indexed citations

Gao, He-Li, Liang Liu, Zi-Hao Qi, et al.. (2018). The clinicopathological and prognostic significance of PD-L1 expression in pancreatic cancer: A meta-analysis. Hepatobiliary & pancreatic diseases international. 17(2). 95–100. 50 indexed citations

Qi, Zi-Hao, Hua-Xiang Xu, Shi-Rong Zhang, et al.. (2018). The Significance of Liquid Biopsy in Pancreatic Cancer. Journal of Cancer. 9(18). 3417–3426. 39 indexed citations

Xu, Hua-Xiang, Shuo Li, Chun-Tao Wu, et al.. (2018). Postoperative serum CA19-9, CEA and CA125 predicts the response to adjuvant chemoradiotherapy following radical resection in pancreatic adenocarcinoma. Pancreatology. 18(6). 671–677. 19 indexed citations

Li, Shuo, Hua-Xiang Xu, Chun-Tao Wu, et al.. (2018). Angiogenesis in pancreatic cancer: current research status and clinical implications. Angiogenesis. 22(1). 15–36. 218 indexed citations

Zhang, Shi-Rong, Hao Li, Wen-Quan Wang, et al.. (2018). Arpin downregulation is associated with poor prognosis in pancreatic ductal adenocarcinoma. European Journal of Surgical Oncology. 45(5). 769–775. 11 indexed citations

Xu, Jin-Zhi, Wen-Quan Wang, Shi-Rong Zhang, et al.. (2018). Neoadjuvant Therapy is Essential for Resectable Pancreatic Cancer. Current Medicinal Chemistry. 26(40). 7196–7211. 10 indexed citations

Qi, Zi-Hao, Hua-Xiang Xu, Shi-Rong Zhang, et al.. (2018). RIPK4/PEBP1 axis promotes pancreatic cancer cell migration and invasion by activating RAF1/MEK/ERK signaling. International Journal of Oncology. 52(4). 1105–1116. 41 indexed citations

10.

Xu, Jin-Zhi, Wen-Quan Wang, Shi-Rong Zhang, et al.. (2017). Intrinsic Contact Between T and N Classifications in Resected Well–Moderately Differentiated Locoregional Pancreatic Neuroendocrine Neoplasms. Annals of Surgical Oncology. 25(3). 647–654. 6 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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