Long Peng

85 total papers · 996 total citations
41 papers, 567 citations indexed

About

Long Peng is a scholar working on Surgery, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Long Peng has authored 41 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 11 papers in Molecular Biology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Long Peng's work include Phonetics and Phonology Research (10 papers), Pancreatic and Hepatic Oncology Research (8 papers) and Linguistic Variation and Morphology (7 papers). Long Peng is often cited by papers focused on Phonetics and Phonology Research (10 papers), Pancreatic and Hepatic Oncology Research (8 papers) and Linguistic Variation and Morphology (7 papers). Long Peng collaborates with scholars based in China, United States and Singapore. Long Peng's co-authors include Weidong Xiao, Yong Li, Jean Ann, Jane Setter, Le Van Hong, Jiaqing Cao, Yong Li, Chan Xie, Jian Xiao and Zhanying Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of the American Society of Nephrology.

In The Last Decade

Long Peng

40 papers receiving 537 citations

Author Peers

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

Author						Papers	Cites
Long Peng	254	220	170	110	76	41	567
Yasuko Ichikawa	254 1.0×	30 0.1×	162 1.0×	230 2.1×	11 0.1×	39	580
H. J. Staab	339 1.3×	123 0.6×	214 1.3×	124 1.1×	14 0.2×	36	584
Songcheng Yin	242 1.0×	111 0.5×	200 1.2×	211 1.9×	21 0.3×	32	619
Sarah R. Levi	206 0.8×	115 0.5×	69 0.4×	302 2.7×	25 0.3×	39	650
Xiaohan Shi	237 0.9×	118 0.5×	121 0.7×	174 1.6×	7 0.1×	43	692
Jingyao Dai	124 0.5×	64 0.3×	66 0.4×	385 3.5×	20 0.3×	28	649
Jie Chen	238 0.9×	59 0.3×	141 0.8×	128 1.2×	8 0.1×	30	629
Wenqing Jiang	384 1.5×	171 0.8×	226 1.3×	137 1.2×	5 0.1×	48	693
Shi Chen	191 0.8×	102 0.5×	307 1.8×	166 1.5×	6 0.1×	50	686
Chiara Molinari	267 1.1×	124 0.6×	106 0.6×	261 2.4×	1 0.0×	39	584

Countries citing papers authored by Long Peng

Since Specialization

Citations

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

Fields of papers citing papers by Long Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Long Peng. A scholar is included among the top collaborators of Long Peng 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 Peng. Long Peng 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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