Long Feng

85 total papers · 878 total citations
43 papers, 352 citations indexed

About

Long Feng is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Long Feng has authored 43 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Oncology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Long Feng's work include Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Cancer-related molecular mechanisms research (4 papers) and Circular RNAs in diseases (4 papers). Long Feng is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Cancer-related molecular mechanisms research (4 papers) and Circular RNAs in diseases (4 papers). Long Feng collaborates with scholars based in China, Hong Kong and Czechia. Long Feng's co-authors include Jun Wan, Fengming Yi, Jian Tian, Yupeng Liu, Kanghua Li, Wei Luo, Liang Chen, Yupeng Liu, Ying Wang and Chenghong Yin and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Long Feng

38 papers receiving 346 citations

Author Peers

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

Author						Papers	Cites
Long Feng	215	134	76	56	46	43	352
Xueyun Huo	218 1.0×	134 1.0×	62 0.8×	41 0.7×	29 0.6×	41	366
Qiliang Lu	213 1.0×	133 1.0×	69 0.9×	62 1.1×	39 0.8×	30	357
Haojun Yang	194 0.9×	90 0.7×	69 0.9×	49 0.9×	45 1.0×	37	367
Guoqiang Yan	229 1.1×	129 1.0×	75 1.0×	65 1.2×	51 1.1×	25	376
Feifei Chen	187 0.9×	88 0.7×	67 0.9×	37 0.7×	58 1.3×	40	400
Cuiping Zhang	185 0.9×	79 0.6×	63 0.8×	61 1.1×	43 0.9×	43	364
Yingying Liang	217 1.0×	115 0.9×	83 1.1×	48 0.9×	47 1.0×	27	381
Yuansheng Duan	228 1.1×	120 0.9×	106 1.4×	41 0.7×	37 0.8×	32	390
Di Wu	271 1.3×	196 1.5×	70 0.9×	30 0.5×	38 0.8×	35	397
Pengfei Sun	176 0.8×	106 0.8×	72 0.9×	70 1.3×	30 0.7×	24	322

Countries citing papers authored by Long Feng

Since Specialization

Citations

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

Fields of papers citing papers by Long Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Feng

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

All Works

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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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