Panpan Yi

908 citations
31 papers · 629 · h-index 16

Impact in

Papers in

    • Immune Cell Function and Interaction 6
    • IL-33, ST2, and ILC Pathways 3
    • Immune Response and Inflammation 2
    • Hepatitis B Virus Studies 3
    • Virology and Viral Diseases 3

Panpan Yi

30 papers receiving 622 citations

Peers

Panpan Yi
Comparison fields: 5 of 98
  • Hepatology 79
  • Cancer Research 135
  • Immunology 183
  • Infectious Diseases 90
  • Epidemiology 148
Replace Vidal Delgado‐Rizo with:
Vidal Delgado‐Rizo Mexico
Zhengrong Zhong China
Quan M. Nhu United States
Hitoshi Ichikawa Japan
Jing Yi China
Mark Masin Switzerland
Min Cao China
Weibing Qin China
Björn C. Frye Germany
Jiro Kudo Japan
Panpan Yi relative to Vidal Delgado‐Rizo Mexico Vidal Delgado‐Rizo's profile →
Citations per field
00.5×2.6×
Vidal Delgado‐Rizo · 1×
Citations per year

Countries citing papers authored by Panpan Yi

Since Specialization
Citations

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

Fields of papers citing papers by Panpan Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Panpan Yi, 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 Panpan Yi Line = papers co-authored together Panpan Yi 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 201779
2 201658
3 201854
4 201848
5 201643
6 201837
7 202233
8 201532
9 201726
10 202122
11 202219
12 201717
13 202116
14 202016
15 201715
16 202015
17 201315
18 202314
19 202413
20 202210

About Panpan Yi

Panpan Yi is a scholar working on Immunology, Epidemiology, Cancer Research, Surgery and Molecular Biology, having authored 31 papers that have together received 629 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Cancer-related molecular mechanisms research (5 papers), Hepatitis B Virus Studies (3 papers), IL-33, ST2, and ILC Pathways (3 papers), Virology and Viral Diseases (3 papers), Mosquito-borne diseases and control (3 papers), Circular RNAs in diseases (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Hepatology (79 citations), Cancer Research (135 citations), Immunology (183 citations), Infectious Diseases (90 citations) and Epidemiology (148 citations). Panpan Yi has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Yuejin Liang, Jiaren Sun, Ruochan Chen, Lynn Soong, Zebing Huang, Xuegong Fan, Xingwang Hu, Zuliang Jie, Yan Huang and Xiaofang Wang. Their work appears in journals such as The Journal of Immunology, Clinical Therapeutics, Journal of Membrane Science, Scientific Reports and International Journal of Biological Macromolecules.

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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