Cuiping Pan

2.6k citations
27 papers · 1.2k · h-index 12

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
    • Lysosomal Storage Disorders Research

Papers in

Cuiping Pan

23 papers receiving 1.2k citations

Peers

Cuiping Pan
Comparison fields: 5 of 116
  • Spectroscopy 214
  • Physiology 55
  • Cell Biology 176
  • Molecular Biology 637
  • Aging 14
Replace Ashutosh Mishra with:
Ashutosh Mishra United States
Mark R. Flory United States
Florence Roux‐Dalvai Canada
Jonathan Rameseder United States
Martin Frejno Germany
Meena Choi United States
Frédéric Delom France
Pierre Dönnes Germany
Inigo Barrio‐Hernandez United Kingdom
Daniel Auerbach Switzerland
Cuiping Pan relative to Ashutosh Mishra United States Ashutosh Mishra's profile →
Citations per field
00.5×2.7×
Ashutosh Mishra · 1×
Citations per year

Countries citing papers authored by Cuiping Pan

Since Specialization
Citations

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

Fields of papers citing papers by Cuiping Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cuiping 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 Cuiping Pan Line = papers co-authored together Cuiping Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008437
2 2009184
3 2007162
4 200888
5 201856
6 201452
7 202236
8 201035
9 200425
10 202416
11 201513
12 202013
13 202011
14 202011
15 202311
16 20178
17 20057
18 20217
19 20214
20 20204

About Cuiping Pan

Cuiping Pan is a scholar working on Molecular Biology, Surgery, Cell Biology, Biochemistry and Economics and Econometrics, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant Physiology and Cultivation Studies (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Aortic Disease and Treatment Approaches (2 papers), Gene expression and cancer classification (2 papers), Plant Reproductive Biology (2 papers), Cellular transport and secretion (2 papers), IgG4-Related and Inflammatory Diseases (2 papers) and Antioxidant Activity and Oxidative Stress (2 papers). The work is most often cited by research in Spectroscopy (214 citations), Physiology (55 citations), Cell Biology (176 citations), Molecular Biology (637 citations) and Aging (14 citations). Cuiping Pan has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Matthias Mann, Ursula Klingmueller, Sebastian Böhl, Chanchal Kumar, Jesper V. Olsen, Henrik Daub, Florian Gnad, Andrej Hasilík, Hans‐Peter Elsässer and Christian Wrocklage. Their work appears in journals such as Bioinformatics, Nature Communications, Molecular & Cellular Proteomics, Plant Molecular Biology Reporter and Frontiers in Cardiovascular Medicine.

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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