Pinyi Lu

1.3k citations
31 papers · 942 · h-index 17

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
    • Diet and metabolism studies
    • Pomegranate: compositions and health benefits

Papers in

    • Peroxisome Proliferator-Activated Receptors 3
    • Gene Regulatory Network Analysis 3
    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 4

Pinyi Lu

30 papers receiving 895 citations

Peers

Pinyi Lu
Comparison fields: 5 of 111
  • Physiology 100
  • Nutrition and Dietetics 168
  • Biological Psychiatry 22
  • Immunology 183
  • Biochemistry 41
Replace Adria Carbo with:
Adria Carbo United States
Josep Bassaganya‐Riera United States
Eva Kmonı́čková Czechia
Xingchi Kan China
Sridhar Radhakrishnan United States
Sandeep B. Subramanya United Arab Emirates
Sumanta Dey India
Ossama Sharaf El Dein France
Chunlan Feng China
Pinyi Lu relative to Adria Carbo United States Adria Carbo's profile →
Citations per field
00.5×2.9×
Adria Carbo · 1×
Citations per year

Countries citing papers authored by Pinyi Lu

Since Specialization
Citations

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

Fields of papers citing papers by Pinyi Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pinyi Lu, 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 Pinyi Lu Line = papers co-authored together Pinyi Lu 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 2013152
2 2013124
3 2010105
4 201389
5 201141
6 201235
7 201434
8 201233
9 202032
10 201632
11 201031
12 201531
13 202025
14 201524
15 201622
16 201517
17 201616
18 201416
19 201715
20 201812

About Pinyi Lu

Pinyi Lu is a scholar working on Molecular Biology, Immunology, Physiology, Surgery and Genetics, having authored 31 papers that have together received 942 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (4 papers), Calcium signaling and nucleotide metabolism (4 papers), Adenosine and Purinergic Signaling (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Computational Drug Discovery Methods (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Physiology (100 citations), Nutrition and Dietetics (168 citations), Biological Psychiatry (22 citations), Immunology (183 citations) and Biochemistry (41 citations). Pinyi Lu has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Raquel Hontecillas, Josep Bassaganya‐Riera, Monica Viladomiu, Adria Carbo, David R. Bevan, Stephanie N. Lewis, Lijuan Yuan, Casandra Philipson, Zhongming Zhao and Amir J. Guri. Their work appears in journals such as PLoS ONE, The Journal of Immunology, Current Drug Targets, Frontiers in Immunology and Nucleic Acids Research.

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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