Haipeng Lv

5.5k total citations · 1 hit paper
92 papers, 4.6k citations indexed

About

Haipeng Lv is a scholar working on Pathology and Forensic Medicine, Food Science and Biochemistry. According to data from OpenAlex, Haipeng Lv has authored 92 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Pathology and Forensic Medicine, 43 papers in Food Science and 31 papers in Biochemistry. Recurrent topics in Haipeng Lv's work include Tea Polyphenols and Effects (68 papers), Phytochemicals and Antioxidant Activities (31 papers) and Fermentation and Sensory Analysis (30 papers). Haipeng Lv is often cited by papers focused on Tea Polyphenols and Effects (68 papers), Phytochemicals and Antioxidant Activities (31 papers) and Fermentation and Sensory Analysis (30 papers). Haipeng Lv collaborates with scholars based in China, Germany and Spain. Haipeng Lv's co-authors include Zhi Lin, Yin Zhu, Junfeng Tan, Qunhua Peng, Jiang Shi, Weidong Dai, Li Guo, Yue Zhang, Wanjun Ma and Yue Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Power Sources.

In The Last Decade

Haipeng Lv

86 papers receiving 4.5k citations

Hit Papers

Characterization of the key aroma compounds in Longjing t... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers

Haipeng Lv
Comparison fields: 5 of 128
  • Pathology and Forensic Medicine 3.0k
  • Food Science 2.4k
  • Biochemistry 1.5k
  • Molecular Biology 879
  • Analytical Chemistry 483
Replace Dejiang Ni with:
Dejiang Ni China
Qin Zhu China
Yong‐Quan Xu China
Fuping Zheng China
Caihong Shen China
Joseph M. Awika United States
Xiaochun Wan China
Yibin Zhou China
Zhiyong He China
Jong‐Bang Eun South Korea
Dejiang Ni China View profile →
Citations per field, relative to Haipeng Lv
Haipeng Lv · 1×
Citations per year, relative to Haipeng Lv
Haipeng Lv · 1×

Countries citing papers authored by Haipeng Lv

Since Specialization
Citations

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

Fields of papers citing papers by Haipeng Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haipeng Lv

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 2
4 2
5 15
6 0
7 5
8 14
9 2
10 6
11 31
12 36
13 55
14
Oil phase molecular compositions of oily sludge using mass spectrometry
1
15 49
16 61
17 196
18 74
19
Analysis of Aroma Fingerprint of Xihu Longjing Tea Using HS-SPME/GC-MS
1
20
Study of EGCG3"Me Content in Zijuan Tea
1

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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