Hailong Jin

84 total papers · 1.1k total citations
46 papers, 828 citations indexed

About

Hailong Jin is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Hailong Jin has authored 46 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Immunology. Recurrent topics in Hailong Jin's work include Gastric Cancer Management and Outcomes (7 papers), Metastasis and carcinoma case studies (5 papers) and Inflammatory Biomarkers in Disease Prognosis (5 papers). Hailong Jin is often cited by papers focused on Gastric Cancer Management and Outcomes (7 papers), Metastasis and carcinoma case studies (5 papers) and Inflammatory Biomarkers in Disease Prognosis (5 papers). Hailong Jin collaborates with scholars based in China, United States and Australia. Hailong Jin's co-authors include Jiren Yu, Xiaosun Liu, Geer Zhang, Xianke Lin, Xiaomei Huang, Jianyi Sun, Qing Zhang, Hang Yu, Wei Chen and Chen Chen and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Hailong Jin

41 papers receiving 811 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hailong Jin	317	206	195	171	115	46	828
Peng Jin	565 1.8×	304 1.5×	272 1.4×	141 0.8×	146 1.3×	57	1.0k
Saveria Tropea	409 1.3×	121 0.6×	164 0.8×	299 1.7×	164 1.4×	42	989
Yan Huang	531 1.7×	137 0.7×	224 1.1×	223 1.3×	241 2.1×	48	984
Jiasheng Zheng	263 0.8×	124 0.6×	187 1.0×	315 1.8×	120 1.0×	54	1.0k
Yu Zhang	244 0.8×	193 0.9×	131 0.7×	259 1.5×	161 1.4×	48	840
Hao Xu	281 0.9×	126 0.6×	238 1.2×	294 1.7×	201 1.7×	36	879
Bang-li Hu	247 0.8×	171 0.8×	164 0.8×	255 1.5×	172 1.5×	63	849
Yu‐Hui Peng	232 0.7×	142 0.7×	184 0.9×	373 2.2×	183 1.6×	71	912
Yong Li	253 0.8×	91 0.4×	144 0.7×	270 1.6×	211 1.8×	52	966
Hongjie Guo	195 0.6×	200 1.0×	101 0.5×	304 1.8×	107 0.9×	46	706

Countries citing papers authored by Hailong Jin

Since Specialization

Citations

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

Fields of papers citing papers by Hailong Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailong Jin

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

All Works

Loading papers...

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