Yan Pan

458 citations
31 papers · 359 · h-index 12

Impact in

Papers in

    • Heme Oxygenase-1 and Carbon Monoxide 3
    • Erythrocyte Function and Pathophysiology 4
    • Asthma and respiratory diseases 2

Yan Pan

28 papers receiving 351 citations

Peers

Yan Pan
Comparison fields: 5 of 86
  • Electrochemistry 40
  • Sensory Systems 30
  • Endocrine and Autonomic Systems 26
  • Spectroscopy 53
  • Physiology 56
Replace Christian J. Stork with:
Christian J. Stork United States
Yasemin Eraç Türkiye
Qiaojuan Zhang United States
Jingguo Chen China
Masaru Kurebe Japan
Leonard J. Giblin United States
С. В. Кольцова Russia
Frédérique Lantoine France
Tongju Li Germany
Zhibin Chen China
Yan Pan relative to Christian J. Stork United States Christian J. Stork's profile →
Citations per field
00.5×6.3×
Christian J. Stork · 1×
Citations per year

Countries citing papers authored by Yan Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yan Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yan Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yan Pan Line = papers co-authored together Yan Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201589
2 201537
3 201621
4 202120
5 202020
6 202319
7 202115
8 201215
9 202012
10 202212
11 201811
12 202211
13 202410
14 202010
15 20189
16 20198
17 20237
18 20226
19 20224
20 20234

About Yan Pan

Yan Pan is a scholar working on Molecular Biology, Physiology, Nutrition and Dietetics, Pulmonary and Respiratory Medicine and Sensory Systems, having authored 31 papers that have together received 359 indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (7 papers), Erythrocyte Function and Pathophysiology (4 papers), Olfactory and Sensory Function Studies (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Nanoplatforms for cancer theranostics (2 papers), Asthma and respiratory diseases (2 papers), Immune cells in cancer (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Electrochemistry (40 citations), Sensory Systems (30 citations), Endocrine and Autonomic Systems (26 citations), Spectroscopy (53 citations) and Physiology (56 citations). Yan Pan has collaborated with scholars based in China, United Kingdom and Italy. Frequent co-authors include Linhong Deng, Xiaogang Gu, Liping Bao, Yong Kong, Yongxin Tao, Mingzhi Luo, Kai Ni, Jia Guo, Shangming Liu and Bing Bu. Their work appears in journals such as International Journal of Molecular Sciences, Cells, Frontiers in Physiology, Biological and Pharmaceutical Bulletin and Journal of Applied Polymer Science.

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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